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Lencse, G., Szilágyi, S.: Equivalence and difference of the dual device under test setup and the single device under test setup of RFC 8219.
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Csernoch, M., Szűcs, E., Máté, D.: Kanban method in digital data processing.
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Fazekas, I., Fazekas, B., Fórián, L.: On the Convergence Rate for the Longest at Most T-Contaminated Runs of Heads.
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Alshuwaili, D., Nsaif, M., Szathmáry, L., Szeghalmy, S.: A comparative study of pre-trained models in breast ultrasound image segmentation.
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Szeghalmy, S., Fazekas, A.: A comparative study on noise filtering of imbalanced data sets.
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Xie, Y., Oniga, I.: A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals.
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Fazekas, I., Barta, A., Fórián, L., Porvázsnyik, B.: A continuous-time network evolution model describing N-interactions.
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Phoebe, G., Talbi, D., Gál, Z.: Actual Trajectory and High Speed Internet Service Aspects of a Low Earth Orbit Satellite Constellation.
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Godó, Z., Fazekas, L., Fritsch, G., Szabó, B., Németh, N.: A Custom-Developed Device for Testing Tensile Strength and Elasticity of Vascular and Intestinal Tissue Samples for Anastomosis Regeneration Research.
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Godó, Z., Pető, K., Balog, K., Deák, Á., Ványolos, E., Fazekas, L., Szentkereszty, Z., Németh, N.: A Custom-Tailored Multichannel Pressure Monitoring System Designed for Experimental Surgical Model of Abdominal Compartment Syndrome.
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Pogorelskiy, S., Kocsis, I.: Addendum To: Automation for structured cabling system in data centers using Building Information Modelling.
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Katona, T., Tóth, G., Petró, M., Harangi, B.: Advanced Multi-Label Image Classification Techniques Using Ensemble Methods.
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Dömösi, P., Horváth, G.: Advantages of an Automata-Based Stream Cipher.
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Kiss, E., Mester, T., Balla, D.: A klímaaggodalmak és környezetbarát viselkedés kapcsolatának és jellemzőinek feltárása Debrecenben.
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Fazekas, I., Fazekas, B., Suja, M.: A limit theorem for runs containing two types of contaminations.
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Lakatos, R., Bogacsovics, G., Harangi, B., Lakatos, I., Tiba, A., Tóth, J., Szabó, M., Hajdu, A.: A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.
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Nagy, L., Boda, I., Tóth, E.: A mesterséges intelligencia multimédiás lehetőségei, médiakonverziók.
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Lakatos, R., Pollner, P., Hajdu, A., Joó, T.: A multimodal deep learning architecture for smoking detection with a small data approach.
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Gál, Z., Talbi, D.: Analysis of Received Power Entropy Interdependence in B5G/6G Radio Cell.
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Talbi, D., Gál, Z.: Analysis of the B5G/6G Communication Power Entropy Patterns Based on Generative AI Methods.
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Bagossy, A., Battyányi, P.: An encoding of the ?-calculus in the String MultiSet Rewriting calculus.
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Kupás, D., Hajdu, A., Kovács, I., Hargitai, Z., Szombathy, Z., Harangi, B.: Annotated Pap cell images and smear slices for cell classification.
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Alshuwaili, D., Szathmáry, L.: A one-dimensional convolutional neural network-based deep learning approach for predicting cardiovascular diseases.
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Balla, D., Kiss, E., Mester, T.: Application of the Water Quality Indices for Assessing of Groundwater Contamination in Rural Environment.
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Rana, J., Mudhafar, J., Zaid, A., Vincent, O., Iman, Q., Ali, A., Alshuwaili, D., Neamah, H.: A Robust Hybrid Machine and Deep Learning-based Model for Classification And Identification in Chest X-ray Images.
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Balla, D., Kiss, E., Bodroginé Zichar, M., Mester, T.: Ásott talajvízkutak vízminőségének tér- és időbeli változásainak értékelése egy alföldi településen a CCME WQI vízminőségi mutató alkalmazásával.
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Bogacsovics, G., Harangi, B., Beregi-Kovács, M., Kupás, D., Lakatos, R., Serbán, N., Tiba, A., Tóth, J.: Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports.
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Balla, D., Kiss, E., Juhász, D., Mester, T.: Assessment of Groundwater Purification Processes Using Water Quality Indices.
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Revákné Markóczi, I., Csernoch, M., Czimre, K., Dávid, Á., Tóthné Kosztin, B., Malmos, E., Sütő, É., Kurucz, D.: A systematic review of STEM teaching-learning methods and activities in early childhood.
EURASIA J Math Sci Tech Ed. 20 (8), 1-22, 2024.

Papp, I.: A térbeli formák értelmezése és alkalmazása - hogyan tehetjük könnyebbé a tanulás folyamatát?.
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Benkhard, B., Csorba, P., Mester, T., Szabó, G., Rooien, A., Kiss, E., Balla, D., Fazekas, I., Vass, R., Babka, B., Balázs, D., Vasvári, M.: A Tisza-tó változatos természeti adottságainak turisztikai kihasználása.
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Baran, Á., Baran, S.: A two-step machine learning approach to statistical post-processing of weather forecasts for power generation.
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Vécsi, Á., Pethő, A.: Auditable Anonymous Electronic Examination.
Cryptography. 8 (2), 1-22, 2024.

Nagy, C., Oláh, N.: Blokklánc alapú alkalmazás autómobil környezetre.
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Oláh, N., Nagy, C.: Blokklánc alapú biztonsági keretrendszer IoT eszközökre.
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Szabó, M.: Building Ensemble Models with Web Services on Microservice Architecture.
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Lenner, Á., Papp, Z., Szabó, C., Komlósi, I.: Calming Hungarian Grey Cattle in Headlocks Using Processed Nasal Vocalization of a Mother Cow.
Animals (Basel). 14 (1), 1-15, 2024.

Fábri, C., Csehi, A., Halász, G., Cederbaum, L., Vibók, Á.: Classical and quantum light-inducednon-adiabaticity in molecular systems.
AVS Quantum Science 6 (2), 1-19, 2024.

Kovács, A., Farkas, J., Vasárus, G., Balla, D., Kiss, E.: Climate policy contradictions in light of the policy paradigms: the case of the Visegrád Countries.
Environ. Sci. Policy. 154 1-10, 2024.

Balla, D., Kiss, E., Bodroginé Zichar, M., Barkat, A., Mester, T.: Cloud-based geovisualization of the DRASTIC model for assessing groundwater vulnerability in a Hungarian settlement, Báránd.
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Baran, S., Nagy-Lakatos, M.: Clustering-based spatial interpolation of parametric post-processing models.
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Hayrapetyan, A., CMS Collaboration, ATLAS Collaboration: Combination of Measurements of the Top Quark Mass from Data Collected by the ATLAS and CMS Experiments at root{s} = 7 and 8 TeV.
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Hayrapetyan, A., CMS Collaboration: Combined search for electroweak production of winos, binos, higgsinos, and sleptons in proton-proton collisions at root{s} = 13 TeV.
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Biró, P., Kádek, T.: Comparing Student Results on a Programming Task During a Contest and a Practice Situation with the Help of the ProgCont System.
In: 2024 IEEE Global Engineering Education Conference (EDUCON) Proceedings, IEEE, Kos, 1-6, 2024, (ISSN 2165-9567) ISBN: 9798350394023

Fadhel, M., Duhaim, A., Saihood, A., Sewify, A., Al-Hamadani, M., Albahri, A., Alzubaidi, L., Gupta, A., Mirjalili, S., Gu, Y.: Comprehensive systematic review of information fusion methods in smart cities and urban environments.
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Csernoch, M., Nagy, T., Csernoch, J.: Computer cooking vs. problem solving.
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Bodroginé Zichar, M., Papp, I.: Contribution of Artificial Intelligence (AI) to Code-Based 3D Modeling Tasks.
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Antal, G., Szabó, S., Szarvas, P., Pusztahelyi, T., Gáll, J., Holb, I.: Cost-Benefit Analysis of Apple Scab Sanitation Practices for ULO-Stored Apple Fruit in Integrated and Organic Production Systems.
International Journal of Fruit Science. 24 (1), 1-17, 2024.

Fábri, C., Császár, A., Halász, G., Cederbaum, L., Vibók, Á.: Coupling polyatomic molecules to lossy nanocavities: Lindblad vs Schrödinger description.
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Gál, Z., Tóth, E.: Deep Learning-Based Analysis of Ancient Greek Literary Texts in English Version: A Statistical Model Based on Word Frequency and Noise Probability for the Classification of Texts.
Infocommun. J. 16 (Joint), 2-11, 2024.

Pogorelskiy, S., Kocsis, I.: Designing structured cabling systems documentation and model by using Building Information Modeling: Literature review.
Ann. Math. Inform. [Epub ahead of print] 1-12, 2024.

Polgár, P., Filep, L., Gál, Z.: Design of the Simulation Analysis Tool for Wireless Sensor Network.
2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) 3 1-6, 2024.

Bogacsovics, G., Harangi, B., Hajdu, A.: Developing diverse ensemble architectures for automatic brain tumor classification.
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Katona, T., Tóth, G., Petró, M., Harangi, B.: Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification.
Mathematics. 12 (6), 1-16, 2024.

CMS Collaboration: Development of the CMS detector for the CERN LHC Run 3.
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Csernoch, M.: Digitális környezetismeret.
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Csernoch, M., Csernoch, J.: Digital subject integration: History turned into graphics.
In: Education and New Developments 2024 - Volume 2. Ed.: by Mafalda Carmo, InScience Press, Lisbon, 47-51, 2024. ISBN: 9789893572801

Serban, N., Kupás, D., Hajdu, A., Török, P., Harangi, B.: Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.
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Al-Hamad, A., Gilányi, A., Al-Fayyadh, F.: Effectiveness and Usability of Virtual Reality in Physical Education: A Case Study on Dance Teaching.
In: 2nd IEEE International Conference on Cognitive Aspects of Virtual Reality - cVR 2023, IEEE, Piscataway (NJ), 109-114, 2024. ISBN: 9798350338638

Pap, I., Oniga, I.: eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.
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Stoyan, G., Baran, Á.: Elementary Numerical Mathematics for Programmers and Engineers.
Springer International Publishing Ag, Cham, 301 p., 2024. ISBN: 9783031660887

Filep, L., Polgár, P., Gál, Z.: Energy Consumption Based Analysis of the Swarm Intelligence Routing Mechanisms in Wireless Sensor Networks.
In: Automation, Robotics & Communications for Industry 4.0/5.0 ARCI' 2024 Conference Proceedings / Sergey Y. Yurish, International Frequency Sensor Association, Barcelona, 249-255, 2024, (ISSN 2938-4796) ISBN: 9788409582198

Xie, Y., Oniga, I.: Enhancing Motor Imagery Classification in Brain-Computer Interfaces Using Deep Learning and Continuous Wavelet Transform.
Appl. Sci.-Basel. 14 (19), 1-16, 2024.

Nagy-Lakatos, M., Baran, S.: Enhancing multivariate post-processed visibility predictions utilizing Copernicus Atmosphere Monitoring Service forecasts.
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Leutbecher, M., Baran, S.: Ensemble size dependence of the logarithmic score for forecasts issued as multivariate normal distributions.
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Gál, Z., Talbi, D., Korteby, M.: Entropy Analysis of Hierarchical Routing in Heterogeneous Wireless Sensor Network.
In: 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE) / Meen, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 61-67, 2024. ISBN: 9798350314694

Talbi, D., Gál, Z.: Entropy-based Interdependence Analysis of the B5G/6G THz Network.
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Nsaif, M., Kovásznai, G., Rjeib, H., Malik, A., de Fréin, R.: Evaluating RNN Models for Multi-Step Traffic Matrix Prediction.
In: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings /András Hajdu, University of Debrecen, Debrecen, 152-157, 2024. ISBN: 9798350387889

Al-Fayyadh, F., Gilányi, A., Al-Hamad, A.: Evaluating Virtual Reality Application from the Teacher's Perspective in Dance Education.
In: 2nd IEEE International Conference on Cognitive Aspects of Virtual Reality - cVR 2023, IEEE, Piscataway (NJ), 39-44, 2024. ISBN: 9798350338638

Balla, D., Kiss, E., Bodroginé Zichar, M., Mester, T.: Evaluation of groundwater quality in the rural environment using geostatistical analysis and WebGIS methods in a Hungarian settlement, Báránd.
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CMS Collaboration: Evidence for tWZ production in proton-proton collisions at root{s} = 13 TeV in multilepton final states.
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Vadadokhau, U., Varga, I., Káplár, M., Emri, M., Csősz, É.: Examination of the Complex Molecular Landscape in Obesity and Type 2 Diabetes.
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Ispány, M., Bondon, P., Reisen, V., Prezotti Filho, P.: Existence of a periodic and seasonal INAR process.
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Csernoch, M., Kiss, J., Takács, V., Máté, D.: Exploring Higher Education Competencies through Spreadsheet Self-Assessment & Time.
In: European Spreadsheet Risks Interest Group : Spreadsheet Productivity & Risks. Szerk.: Simon, Thorne, European Spreadsheet Risks Interest Group (EuSpRIG), London, 47-62, 2024. ISBN: 9781905404599

CMS Collaboration: Extracting the speed of sound in quark-gluon plasma with ultrarelativistic lead-lead collisions at the LHC.
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Csoba, I., Kunkli, R.: Fast rendering of central and peripheral human visual aberrations across the entire visual field with interactive personalization.
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Tiba, A., Hajdu, A., Girászi, T.: Finding Efficient Graph Embeddings and Processing them by a CNN-based Tool.
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Héjja, F., Bartók, T., Dakroub, R., Kocsis, G.: Generative AI for Productivity in Industry and Education.
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Papp, I.: Geometriai ismeretek szerepe a 3D modellezésben.
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Csernoch, M., Imre, A.: Grammar Practices in the Digital World.
ACTA UNIV SAP PHILOLOGICA. 16 (2), 68-87, 2024.

CMS Collaboration: Higher-order moments of the elliptic flow distribution in PbPb collisions at root{s_NN} = 5.02 TeV.
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Vágner, A.: How Do NoSQL Databases Handle Variety of Big Data?.
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Csernoch, M., Nagy, T., Nagy, K., Csernoch, J., Hannusch, C.: Human-centered digital sustainability: handling enumerated lists in digital texts.
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Gál, Z., Terdik, G.: Hurkolt UDP és QUIC alapú szállítási réteg-mechanizmusok forgalmi tulajdonságai = Traffic properties of looped UDP and QUIC-based transport layer mechanisms.
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Oláh, C., Czakó, J., Godó, Z., Farkas, M., Papp, M., Czabajszki, M.: Idegsebészeti posztoperatív őrzőben kezelt idős betegek SARS-CoV-2 és Clostridioides difficile kombinált fertőzése.
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Gál, Z.: Identification of Education Activity Based on Datalake Captured from Internal Sensor Data of Supercomputer.
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Erdei, T., Kapusi, T., Hajdu, A., Husi, G.: Image-to-Image translation-based deep learning application to object identification in industrial robot systems.
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Fábri, C., Halász, G., Cederbaum, L., Vibók, Á.: Impact of Cavity on Molecular Ionization Spectra.
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Filep, L., Gál, Z.: Impact of Random Number Generation Methods Usage on Swarm Intelligence Algorithms for Energy Optimization in Wireless Sensor Networks.
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Sütő, J.: Improving the generalization capability of YOLOv5 on remote sensed insect trap images with data augmentation.
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Szilágyi, S., Juhász, L.: Increasing Teacher Efficiency with AI: An Overview.
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Gál, Z., Talbi, D.: Insights into Low Earth Orbit Satellite Communication Dynamics: Quality of Service Analysis of Connection Behavior, Latency, and Doppler Shift.
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Kovásznai, G., Nsaif, M.: Integer Programming Based Optimization of Power Consumption for Data Center Networks.
Acta Cybern. Epub (-), 1-17, 2024.

Mihálydeák, T., Kádek, T., Nagy, D., Chakraborty, M.: Intensions and extensions of granules: A two-component treatment.
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Papp, I.: Interpreting and Applying Spatial Shapes - How Can We Make the Learning Process Easier?.
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Boda, I., Tóth, E.: Knowledge Base Development for Second Language Learning in the 3D Virtual Space.
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Fazekas, I., Kerényi, A., Túri, Z., Balázs, D., Balla, D., Bihari, Z., Ferenczi, Z., Haszpra, L., Mester, T., Pásztor, L., Szabó, G., Tahy, Á., Várallyay, G., Vass, R., Vasvári, M., Zagyva, T.: Környezetvédelem.
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Csernoch, M., Csernoch, J.: Lean supported digital education: Developing a pull digital education strategy.
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Umarov, O., Csehi, A., Badankó, P., Halász, G., Vibók, Á.: Light-induced photodissociation in the lowest three electronic states of the NaH molecule.
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Mester, T., Szabó, G., Kiss, E., Balla, D.: Long-term spatiotemporal changes in nitrate contamination of municipal groundwater resources after sewerage network construction in the Hungarian Great Plain.
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CMS Collaboration: Luminosity determination using Z boson production at the CMS experiment.
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Vajda, D., Do, T., Bérczes, T., Farkas, K.: Machine learning-based real-time anomaly detection using data pre-processing in the telemetry of server farms.
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Hayrapetyan, A., CMS Collaboration: Measurement of Energy Correlators inside Jets and Determination of the Strong Coupling alpha_s(m_z).
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CMS Collaboration: Measurement of multijet azimuthal correlations and determination of the strong coupling in proton-proton collisions at root{s} = 13 TeV.
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Tumasyan, A., CMS Collaboration: Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H --> bb decay channel in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Measurement of the B_s^0 --> J/{psi}K_S^0 effective lifetime from proton-proton collisions at root{s} = 13 TeV.
J. High Energy Phys. 2024 (10), 1-40, 2024.

CMS Collaboration: Measurement of the production cross section for a W boson in association with a charm quark in proton-proton collisions at root{s}=13 TeV.
Eur. Phys. J. C. 84 (1), 1-37, 2024.

CMS Collaboration: Measurement of the production cross section of a Higgs boson with large transverse momentum in its decays to a pair of tau leptons in proton-proton collisions at root{s} = 13 TeV.
Phys. Lett. B. 857 1-27, 2024.

CMS Collaboration: Measurement of the tau lepton polarization in Z boson decays in proton-proton collisions at root{s} = 13 TeV.
J. High Energy Phys. 2024 (1), 1-54, 2024.

CMS Collaboration: Measurements of azimuthal anisotropy of nonprompt D^0 mesons in PbPb collisions at root{s_NN}=5.02 TeV.
Phys. Lett. B. 850 1-25, 2024.

Kovács, G., Fazekas, A.: mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning.
Neurocomputing. 583 1-4, 2024.

Csernoch, M., Hannusch, C., Biró, P.: Modification of Erroneous and Correct Digital Texts.
Entropy. 26 (12), 1-21, 2024.

Baranyai, D., Oniga, I., Gyöngyösi, B., Ujvári, B., Mohamed, A.: Module Tester for Positron Emission Tomography and Particle Physics.
Electronics (Switzerland). 13 (15), 1-15, 2024.

Balla, T., Tóth, R., Bodroginé Zichar, M., Hoffmann, M.: Multimodal Approach of Improving Spatial Abilities.
Multimodal Technol. Interaction. 8 (11), 1-12, 2024.

Gandhi, H., Ispány, M.: Multi-step Natural Gas Price Forecasting using Ensemble Empirical Mode Decomposition and Long Short-Term Memory Hybrid Model.
IJEEP. 14 (4), 590-598, 2024.

CMS Collaboration: Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at root{s} = 13 TeV.
J. Instrum. 19 (02), 1-43, 2024.

Neamah, H., Mohammed, A., Magd, S.: Navigating Attention-Centric: A Machine Learning Approach to EMG-Based Hand Gesture Recognition for Interactive RC Car.
In: 2024 IEEE 21st International Power Electronics and Motion Control Conference (PEMC), IEEE, [s.l.], 1-6, 2024. ISBN: 9798350385229

Csuhaj-Varjú, E., Vaszil, G.: Networks of Watson-Crick D0L systems with communication by substrings.
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Godó, Z.: Neural Network Visualization for The Study of Parallel Algorithm Building Skills.
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Hayrapetyan, A., CMS Collaboration: New Structures in the J/[psi]J/psi Mass Spectrum in Proton-Proton Collisions at root{s} = 13 TeV.
Phys. Rev. Lett. 132 (11), 1-20, 2024.

Hayrapetyan, A., CMS Collaboration, TOTEM Collaboration: Nonresonant central exclusive production of charged-hadron pairs in proton-proton collisions at root{s} = 13 TeV.
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Hayrapetyan, A., CMS Collaboration: Observation of the J/psi --> mu+mu-mu+mu- decay in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 109 (11), 1-17, 2024.

Hayrapetyan, A., CMS Collaboration: Observation of the Xi_b^- --> psi(2S)Xi^- decay and studies of the Xi_b(5945)^0 baryon in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 110 (1), 1-27, 2024.

Hayrapetyan, A., CMS Collaboration: Observation of WW[gamma] Production and Search for H[gamma] Production in Proton-Proton Collisions at root{s} = 13 TeV.
Phys. Rev. Lett. 132 (12), 1-20, 2024.

Imomov, A., Tukhtaev, E., Sztrik, J.: On Properties of Karamata Slowly Varying Functions with Remainder and Their Applications.
Mathematics. 12 (20), 1-11, 2024.

Tóth, E., Gál, Z.: Optimizing Text Clustering Efficiency through Flexible Latent Dirichlet Allocation Method: Exploring the Impact of Data Features and Threshold Modification.
Infocommun. J. 16 (Joint), 58-66, 2024.

Baran, Á., Baran, S.: Parametric model for post-processing visibility ensemble forecasts.
Adv. Stat. Clim. Meteorol. Oceanogr. 10 (2), 105-122, 2024.

Harangi, B., Bogacsovics, G., Tóth, J., Kovács, I., Bujdosóné Dani, E., Hajdu, A.: Pixel-wise segmentation of cells in digitized Pap smear images.
Sci Data. 11 (1), 1-8, 2024.

CMS Collaboration: Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service.
Comput Softw Big Sci. 8 (1), 1-36, 2024.

Czimre, K., Teperics, K., Molnár, E., Kapusi, J., Saidi, I., Gusman, D., Bujdosó, G.: Potentials in Using VR for Facilitating Geography Teaching in Classrooms: A Systematic Review.
ISPRS Int. Geo-Inf. 13 (9), 332-376, 2024.

Nagy, J., Hajdu, A., Bogacsovics, G., Bojtor, C., Illés, Á., Lakatos, R., Mészáros, L.: Precíziós gazdálkodásban használható adatelemzés alapú növénytermesztési döntéstámogató rendszer fejlesztés.
In: LXV. Georgikon Napok Tudományos Konferencia = 65th Georgikon Days Scientific Conference /szerk. Pőr Csilla, Szabó-Soós Adrienn, Szabó Péter, Magyar Agrár- és Élettudományi Egyetem Georgikon Campus, Keszthely, 133-134, 2024. ISBN: 9786156338105

Tiba, A., Bérczes, T., Bérczes, A., Zsuga, J.: Predicting Stroke Risk Based on ICD Codes Using Graph-Based Convolutional Neural Networks.
Mathematics. 12 (12), 1-15, 2024.

Nsaif, M., Kovásznai, G., Malik, A., de Fréin, R.: QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS).
Electronics (Switzerland). 13 (15), 1-26, 2024.

Csernoch, M., Nagy, K., Csernoch, J., Bujdosóné Dani, E.: Questions of digital text management in library environment.
In: IEEE CogInfoCom 2024: 2024 15th IEEE International Conference on Cognitive Infocommunications, IEEE, [S. L.], 155-160, 2024. ISBN: 9798350378245

Melikov, A., Poladova, L., Sztrik, J.: Queuing-Inventory System with Catastrophes in the Warehouse: case of Rare Catastrophes.
Mathematics. 12 (6), 1-19, 2024.

Alexan, A., Alexan, A., Oniga, I.: Real-Time Machine Learning for Human Activities Recognition Based on Wrist-Worn Wearable Devices.
Appl. Sci.-Basel. 14 (1), 1-20, 2024.

Al-Hamadani, M., Fadhel, M., Alzubaidi, L., Harangi, B.: Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review.
Sensors. 24 (8), 1-42, 2024.

CMS Collaboration: Searches for violation of Lorentz invariance in top quark pair production using dilepton events in 13 TeV proton-proton collisions.
Phys. Lett. B. 857 1-28, 2024.

CMS Collaboration: Search for an exotic decay of the Higgs boson into a Z boson and a pseudoscalar particle in proton-proton collisions at root{s} = 13 TeV.
Phys. Lett. B. 852 1-27, 2024.

Hayrapetyan, A., CMS Collaboration: Search for Baryon Number Violation in Top Quark Production and Decay Using Proton-Proton Collisions at root{s} = 13 TeV.
Phys. Rev. Lett. 132 (24), 1-19, 2024.

CMS Collaboration: Search for dark matter particles in W^+W^? events with transverse momentum imbalance in proton-proton collisions at root{s} = 13 TeV.
J. High Energy Phys. 2024 (3), 1-45, 2024.

CMS Collaboration: Search for dark QCD with emerging jets in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Search for exotic decays of the Higgs boson to a pair of pseudoscalars in the [mu][mu]bb and [tau][tau]bb final states.
Eur. Phys. J. C. 84 (5), 1-38, 2024.

Hayrapetyan, A., CMS Collaboration: Search for flavor changing neutral current interactions of the top quark in final states with a photon and additional jets in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 109 (7), 1-27, 2024.

Hayrapetyan, A., CMS Collaboration: Search for Inelastic Dark Matter in Events with Two Displaced Muons and Missing Transverse Momentum in Proton-Proton Collisions at root{s}=13 TeV.
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Hayrapetyan, A., CMS Collaboration: Search for long-lived heavy neutral leptons decaying in the CMS muon detectors in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 110 (1), 1-29, 2024.

Hayrapetyan, A., CMS Collaboration: Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 109 (11), 1-28, 2024.

CMS Collaboration: Search for new Higgs bosons via same-sign top quark pair production in association with a jet in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Search for new physics in high-mass diphoton events from proton-proton collisions at root{s} = 13 TeV.
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Hayrapetyan, A., CMS Collaboration: Search for pair production of scalar and vector leptoquarks decaying to muons and bottom quarks in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 109 (11), 1-25, 2024.

Hayrapetyan, A., CMS Collaboration: Search for Scalar Leptoquarks Produced via tau-Lepton-Quark Scattering in pp Collisions at root{s}=13 TeV.
Phys. Rev. Lett. 132 (6), 1-20, 2024.

Hayrapetyan, A., CMS Collaboration: Search for stealth supersymmetry in final states with two photons, jets, and low missing transverse momentum in proton-proton collisions at root{s} = 13 TeV.
Phys. Rev. D. 109 (11), 1-23, 2024.

CMS Collaboration: Search for the lepton flavor violating tau --> 3mu decay in proton-proton collisions at root{s} = 13TeV.
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CMS Collaboration: Search for ZZ and ZH production in the bbbb final state using proton-proton collisions at root{s} = 13 TeV.
Eur. Phys. J. C. 84 (7), 1-33, 2024.

Kuczik, A., Vaszil, G.: Simple variants of non-cooperative polymorphic P systems.
J. Membr. Comput. "Accepted by Publisher" (-), 1-14, 2024.

Nyangaresi, V., Abduljabbar, Z., Mutlaq, K., Bulbul, S., Ma, J., Aldarwish, A., Alshuwaili, D., Al, S., Neamah, H.: Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme.
Sci. Rep. 14 (1), 1-17, 2024.

Nsaif, M., Kovásznai, G., Malik, A., de Fréin, R.: SM-FPLF: Link-State Prediction For Software-Defined DCN Power Optimization.
IEEE Access. Epub 1-24, 2024.

Battyányi, P.: Solving the SAT problem with the string multiset rewriting calculus.
Computing. [Epub ahead of print] 1-14, 2024.

Balla, D., Kiss, E., Bodroginé Zichar, M., Mester, T.: Spatiotemporal Dynamics of Water Quality: long-Term Assessment Using Water Quality Indices and GIS.
ISPRS Int. Geo-Inf. 13 (11), 1-18, 2024.

CMS Collaboration: Study of azimuthal anisotropy of Upsilon(1S) mesons in pPb collisions at root{s_NN} = 8.16 TeV.
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CMS Collaboration: Study of charm hadronization with prompt Lambda_c^+ baryons in proton-proton and lead-lead collisions at root{s_NN} = 5.02 TeV.
J. High Energy Phys. 2024 (1), 1-44, 2024.

Csernoch, M., Gulácsi, Á., Csernoch, J.: Subject integration with spreadsheets - Ignoring education is the greatest risk ever.
In: European Spreadsheet Risks Interest Group : Spreadsheet Productivity & Risks. Szerk.: Simon, Thorne, European Spreadsheet Risks Interest Group (EuSpRIG), London, 76-91, 2024. ISBN: 9781905404599

Tóth, E., Gál, Z.: Szövegek korrumpálódásának vizsgálata a hálózati adatátvitelsorán = Text corruption analysis during text transmission on the network.
In: XXV. Energetika-Elektrotechnika - ENELKO és XXXIV. Számítástechnika és Oktatás - SzámOkt Multi-konferencia = Enelko - 25th International Conference on Energetics-Electrical Engineering SzámOkt - 34th International Conference on Computers and Education, Erdélyi Magyar Filozófiai Társaság, [Cluj-Napoca], 122-130, 2024, (Enelko - SzámOkt, ISSN 2734-6757)

Mester, T., Szabó, G., Kiss, E., Balla, D.: Temporal Trends of Nitrate Pollution in Changing Village Environment.
In: Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (4th Edition) : Proceedings of 4th Euro-Mediterranean Conference for Environmental Integration (EMCEI-4), Tunisia 2022. Eds.: Chakraborty Sudip ;Ksibi Mohamed ;Sousa Arturo ;Hentati Olfa ; Chenchouni Haroun ; Lopes Velho José ; Negm Abdelazim ; Rodrigo-Comino Jesús ; Hadji Riheb ; Ghorbal Achraf, Springer, Cham, 771-773, 2024, (Advances in Science, Technology & Innovation., ISSN 2522-8714) ISBN: 9783031519031

Fazekas, A., Kovács, G.: Testing the consistency of performance scores reported for binary classification problems.
Appl. Soft. Comput. 164 1-15, 2024.

Bertók, C., Hajdu, L.: The resolution of three exponential Diophantine equations in several variables.
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Csernoch, J., Csernoch, M.: The values and legal issues of authentic data sources in computer education and research.
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Tumasyan, A., CMS Collaboration: Two-particle Bose-Einstein correlations and their Lévy parameters in PbPb collisions at root{s_NN} = 5.02 TeV.
Phys. Rev. C. 109 (2), 1-24, 2024.

Talbi, D., Zahra, D., Gál, Z.: Unsupervised Machine Learning-Based Clustering of High- Frequency Radio Channel Properties: Analysis of Sector Communication Efficiency.
Proc. Computer Sci. 238 306-313, 2024.

Sütő, J.: Using Data Augmentation to Improve the Generalization Capability of an Object Detector on Remote-Sensed Insect Trap Images.
Sensors. 24 (14), 1-12, 2024.

Mudhafar, J., Siamand, H., Luqman, Q., Murthad, H., Zaid, A., Alshuwaili, D., Vincent, O., Iman, Q., Neamah, H.: Utilising Machine Learning for the Early Detection of Coronary Heart Disease.
Eng Techl Appl Sci Res. "Accepted by Publisher" (-), 1-19, 2024.

Csuhaj-Varjú, E., Vaszil, G.: Variants of distributed reaction systems.
Nat. Comput. "Accepted by Publisher" (-), 1-16, 2024.

Erős, B., Kunkli, R.: Virtuális térbeli kirakójátékok modellezési lehetőségei a Blender szoftver használatával = Possibilities of modelling virtual spatial puzzle games using the Blender software.
In: KGK2024: Konstruktív Geometria Konferencia: absztrakt kötet. Szerk.: Németh László, Szarka Judit Gabriella, Kósa Balázs, Uhl Gabriella, Vágvölgyi Andrea, Horváth Péter György, Soproni Egyetem Kiadó, Sopron, 14, 2024. ISBN: 9789633345191

Varga, I.: A Case Study of Genealogical Networks from Network Science Perspective.
In: Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk / Ema Kusen; Victor Chang, ScitePress, Prague, 47-52, 2023, (ISSN 2184-5034) ISBN: 9789897586446

Szeghalmy, S., Fazekas, A.: A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning.
Sensors. 23 (4), 1-27, 2023.

Fazekas, I., Barta, A., Noszály, C., Porvázsnyik, B.: A continuous-time network evolution model describing 3-interactions.
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Burai, P., Kiss, G., Szokol, P.: A dichotomy result for strictly increasing bisymmetric maps.
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László, V., Nagy, K., Csernoch, M.: Alapvető számolási készségek tesztelése papíron és táblázatkezelőben.
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Tóth, Á., Sztrik, J.: Analysis of retrial queueing systems with two-way communication and impatient customers using simulation.
Ann. Math. Inform. 58 160-169, 2023.

Sztrik, J., Tóth, Á.: Analysis of Retrial Queueing System with Two-Way Communication in Different Scenarios Using Simulation.
In: Information technologies and mathematical modelling : Queueing theory and applications. Eds.: Alexander Dudin, Anatoly Nazarov, Alexander Moiseev, Springer, Cham, 138-148, 2023, (Communications in Computer and Information Science, ISSN 1865-0929 ; 1803)

Hussain, A., Hannusch, C.: A New Keyed Hash Function Based on Latin Squares and Error-Correcting Codes to Authenticate Users in Smart Home Environments.
In: Codes, Cryptology and Information Security: 4th International Conference, C2SI 2023, Rabat, Morocco, May 29-31, 2023, Proceedings. (Chapter 8) /Souidi El Mamoun (eds.), Springer Nature Switzerland, Cham, Svájc, 129-135, 2023. ISBN: 9783031330162

Szathmáry, L.: An incremental algorithm for computing the transversal hypergraph.
Ann. Math. Inform. 58 ((2023),), 147-159, 2023.

Al-Zaidi, M., Vágner, A.: Application-Based Benchmarking on Redis and MongoDB for Trip Planning using GTFS Data.
TEM Journal. 12 (4), 2583-2592, 2023.

Pánovics, J., Kádek, T., Biró, P.: A ProgCont rendszer jelene és jövője.
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Babic, J., Podobnik, V., Slošić, I., Zekić, I., Gourves-Hayward, A., Sable, C., Papp, I., Bodroginé Zichar, M., Franco, C., Foix, F., Keselj, A., Zakarija, I., Zubrinic, K., Pérez Maldonado, M.: A report on the potential of green serious games in higher education.
University of Zagreb, Zagreb, 122 p., 2023. ISBN: 9789531842860

CMS Collaboration: A search for decays of the Higgs boson to invisible particles in events with a top-antitop quark pair or a vector boson in proton-proton collisions at root{s}=13 TeV.
Eur. Phys. J. C. 83 (10), 1-39, 2023.

CMS Collaboration, TOTEM Collaboration: A search for new physics in central exclusive production using the missing mass technique with the CMS detector and the CMS-TOTEM precision proton spectrometer.
Eur. Phys. J. C. 83 (9), 1-32, 2023.

Kruppa, K., Kunkli, R., Hoffmann, M.: A skinning technique for modeling artistic disk B-spline shapes.
Comput. Graph.-UK. 115 96-106, 2023.

Mester, T., Szabó, G., Sajtos, Z., Baranyai, E., Kiss, E., Balla, D.: Assessment of groundwater decontamination processes around a dismantled septic tank using GIS and statistical analysis.
Water. 15 (5), 1-19, 2023.

Padányi, V., Herendi, T.: A study on comparison of pseudorandom number generator.
Int. J. Math. Comp. Eng. 1 (1), 25-44, 2023.

Benkhard, B., Vasvári, M., Mester, T., Balla, D., Szabó, G., Kiss, E., Fazekas, I., Csorba, P.: A Tisza-tó mozaikossága: turisztikai vonzerő, területkezelési kihívás és lehetőség. = 74 The mosaic character of Lake Tisza: tourist attraction, challenge and opportunity for site management.
In: XVIII. Kárpát-medencei Környezettudományi konferencia : absztraktfüzet / Blanka-Végi Viktória, Geoinformatikai, Természet- és Környezetföldrajzi Tanszék, Szegedi Tudományegyetem, Szeged, 73-74, 2023. ISBN: 9789633069370

CMS Collaboration: Author Correction: A portrait of the Higgs boson by the CMS experiment ten years after the discovery.
Nature. 623 (7985), 1, 2023.

CMS Collaboration: Azimuthal anisotropy of dijet events in PbPb collisions at root{s_{NN} = 5.02 TeV.
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CMS Collaboration: Azimuthal correlations in Z +jets events in proton-proton collisions at root{s}=13 TeV.
Eur. Phys. J. C. 83 (8), 1-35, 2023.

Zhang, L., Rashwan, A., Manó, S., Szabó, J., Mankovits, T., Csernátony, Z.: Biomechanical Comparison of the Roof Step Cut Technique with the Bulk Bone Graft Technique During Total Hip Arthroplasty for Hip Dysplasia: a Finite Element Analysis.
Acta Chir. Orthop. Traumatol. Cech. 90 (5), 301-313, 2023.

Huszti, A., Girászi, T., Oláh, N.: Blockchain-Based Messaging for VANETs.
IEEE 1 2443-2450, 2023.

Oláh, C., Némethy, S., Varga, L., Godó, Z., Molnár, P.: Borfogyasztás és egészség: Borfogyasztás hatása a humán mikrobiomra - legújabb bizonyítékon, kutatási perspektívák.
In: THE Eszencia - Bor és Tudomány: tanulmánykötet / Bene Zsuzsanna, University of Tokaj, Sárospatak, 66-73, 2023. ISBN: 9786156482129

Bodroginé Zichar, M.: Business intelligence on maps.
In: Theory meets practice in GIS / Dr. Abriha-Molnár Vanda Éva, Debrecen University Press, Debrecen, 349-353, 2023. ISBN: 9789636150846

Al-Hamadani, M.: Classification and analysis of the MNIST dataset using PCA and SVM algorithms.
Vojnotehnicki glasnik. 71 (2), 221-238, 2023.

Xie, Y., Oniga, I.: Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks.
Sensors. 23 (4), 1-16, 2023.

Gombos, B., Nagy, Z., Hajdu, A., Nagy, J.: Climate change in the Debrecen area in the last 50 years and its impact on maize production.
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Veres, T.: Commercial territory alignment methods in the pharmaceutical sales industry.
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Kovács, Á., Csernátony, Z., Csámer, L., Méhes, G., Szabó, D., Veres, M., Braun, M., Harangi, B., Serban, N., Zhang, L., Falk, G., Soósné Horváth, H., Manó, S.: Comparative Analysis of Bone Ingrowth in 3D-Printed Titanium Lattice Structures with Different Patterns.
Materials. 16 (10), 1-16, 2023.

Nagy-Lakatos, M., Lerch, S., Hemri, S., Baran, S.: Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts.
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Harangi, B., Baran, Á., Beregi-Kovács, M., Hajdu, A.: Composing Diverse Ensembles of Convolutional Neural Networks by Penalization.
Mathematics. 11 (23), 1-19, 2023.

Gilányi, A., To, L.: Computer assisted investigation of alienness of linear functional equations.
Aequ. Math. 97 1185-1199, 2023.

Tumasyan, A., CMS Collaboration: Constraints on anomalous Higgs boson couplings to vector bosons and fermions from the production of Higgs bosons using the tt final state.
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Nagy, L., Boda, I., Benediktsson, D., Tóth, E.: Content development for teaching and learning IT in a virtual 3D environment.
ITlib. 27 (1-2), 51-57, 2023.

Talbi, D., Gál, Z.: Decomposition Based Congestion Analysis of the Communication in B5G/6G TeraHertz High-Speed Networks.
Infocommun. J. 15 (Special), 43-48, 2023.

Talbi, D., Korteby, M., Gál, Z.: Decomposition Based Congestion Analysis of the Communication in B5G/6G TeraHertz High-Speed Networks.
In: The 12th International Conference on Applied Informatics - Abstracts, Eszterházy Károly Egyetem, [Eger], 1-3, 2023.

Fazekas, I., Fórián, L., Barta, A.: Deep Learning from Noisy Labels with Some Adjustments of a Recent Method.
Infocommun. J. 15 (Special), 9-12, 2023.

Bordihn, H., Nicholas, T., Vaszil, G.: Descriptional Complexity of Formal Systems: 25th IFIP WG 1.02 International Conference, DCFS 2023 Potsdam, Germany, July 4-6, 2023 : Proceedings.
Springer Cham, Cham, 197 p., 2023. ISBN: 9783031343254

Boda, I., Tóth, E., Nagy, L.: Developing a Learning Material in the 2D and 3D Space to Teach IT Technical Language.
In: 2nd IEEE International Conference on Cognitive Aspects of Virtual Reality - cVR 2023. Szerk.: IEEE, IEEE, Piscataway, 81-86, 2023. ISBN: 9798350338638

Bujdosó, G., Teperics, K., Roskó, T., Jász, E., Czimre, K., Molnár, E., Kapusi, J., Novac, M., Novac, O.: Disruptive technologies in STEM education - A method for broadening the spectrum of IT teacher education.
In: EDULEARN23 Proceedings / Luis Gómez Chova; Chelo González Martínez; Joanna Lees, IATED Academy, 2023, 5684-5692, 2023, (ISSN 2340-1117) ISBN: 9788409521517

Melikov, A., Mirzayev, R., Sztrik, J.: Double-Sources Queuing-Inventory Systems with Finite Waiting Room and Destructible Stocks.
Mathematics. 11 (1), 226-, 2023.

Korteby, M., Talbi, D., Gál, Z.: Effect of the Modulation on the Cluster Head Election in Cost Balanced LEACH.
In: International Conference on Applied Informatics - Abstracts, Eszterházy Károly Egyetem, Eger, 1-3, 2023, (ISSN 1792-460X)

Benkhard, B., Csorba, P., Mester, T., Balla, D., Kiss, E., Szabó, G., Fazekas, I., Vass, R., Rooien, A., Vasvári, M.: Effects of Mosaic Natural Conditions on the Tourism Management of a Lowland Water Reservoir, Lake Tisza, Hungary.
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Oniga, I., Pap, I., Majoros, T.: Implementation considerations for an intelligent embedded e-Health system and experimental results for EEG-based activity recognition.
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Serban, N., Harangi, B.: Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation.
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Talbi, D., Gál, Z., Sztrik, J.: Low Latency and High-Speed Communication Service with LEO Satellite Constellation.
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Liu, Y., Zhou, S., Wang, L., Xu, M., Huang, X., Li, Z., Hajdu, A., Zhang, L.: Machine learning approach combined with causal relationship inferring unlocks the shared pathomechanism between COVID-19 and acute myocardial infarction.
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Tumasyan, A., CMS Collaboration: Measurement of the Dependence of the Hadron Production Fraction Ratios f_{s}/f_{u} and f_{d}/f_{u} on B Meson Kinematic Variables in Proton-Proton Collisions at sqrt[s]=13 TeV.
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CMS Collaboration: Measurement of the top quark pole mass using tt+jet events in the dilepton final state in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Measurement of the tt charge asymmetry in events with highly Lorentz-boosted top quarks in pp collisions at root{s} = 13 TeV.
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CMS Collaboration: Measurements of Higgs boson production in the decay channel with a pair of [tau] leptons in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Measurements of inclusive and differential cross sections for the Higgs boson production and decay to four-leptons in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Measurements of the azimuthal anisotropy of prompt and nonprompt charmonia in PbPb collisions at root{s_NN} = 5.02 TeV.
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CMS Collaboration: Measurements of the Higgs boson production cross section and couplings in the W boson pair decay channel in proton-proton collisions at root{s} = 13 TeV.
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Jeganathan, K., Harikrishnan, T., Lakshmanan, K., Melikov, A., Sztrik, J.: Modeling of Junior Servers Approaching a Senior Server in the Retrial Queuing-Inventory System.
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Péntek, I., Adamkó, A.: Monitoring Pandemics, using Sensor Data from Smart Ecosystems.
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Tóth, E., Gál, Z.: Multilabel Clustering Analysis of the Croatian-English Parallel Corpus Based on Latent Dirichlet Allocation Algorithm.
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Gál, Z., Terdik, G.: Nagysebességű kommunikációs folyamatok nem-stacionárius datagram forgalmának időbeli mintázata = On the time patterns of the nonstationary datagram based fast communication processes.
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Tumasyan, A., CMS Collaboration: Probing Heavy Majorana Neutrinos and the Weinberg Operator through Vector Boson Fusion Processes in Proton-Proton Collisions at root{s}=13 TeV.
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Tumasyan, A., CMS Collaboration: Probing Small Bjorken-x Nuclear Gluonic Structure via Coherent J/psi Photoproduction in Ultraperipheral Pb-Pb Collisions at root{s_NN} = 5.02 TeV.
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Efrosinin, D., Stepanova, N., Sztrik, J.: Robustness of the c[mu]-Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates.
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CMS Collaboration: Searches for additional Higgs bosons and for vector leptoquarks in [tau][tau] final states in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration: Search for a charged Higgs boson decaying into a heavy neutral Higgs boson and a W boson in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration, Tumasyan, A., Andrejkovic, J., Adam, W.: Search for Exotic Higgs Boson Decays H-AA-4γ with Events Containing Two Merged Diphotons in Proton-Proton Collisions at sqrt[s]=13TeV.
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CMS Collaboration, Tumasyan, A., Adam, W., Andrejkovic, J.: Search for Higgs Boson Decay to a Charm Quark-Antiquark Pair in Proton-Proton Collisions at vs=13 TeV.
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CMS Collaboration: Search for Higgs boson pairs decaying to WW*WW*, WW*[tau][tau], and [tau][tau][tau][tau] in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration, TOTEM Collaboration: Search for high-mass exclusive [gamma][gamma] --> WW and [gamma][gamma] --> ZZ production in proton-proton collisions at root{s}=13 TeV.
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CMS Collaboration: Search for long-lived particles decaying to a pair of muons in proton-proton collisions at root{s}=13 TeV.
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CMS Collaboration: Search for long-lived particles using out-of-time trackless jets in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration, Tumasyan, A., Adam, W., Andrejkovic, J.: Search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state in proton-proton collisions at root{s}=13 TeV.
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CMS Collaboration: Search for new physics in multijet events with at least one photon and large missing transverse momentum in proton-proton collisions at 13 TeV.
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CMS Collaboration: Search for new physics in the tau lepton plus missing transverse momentum final state in proton-proton collisions at root{s} = 13 TeV.
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Tumasyan, A., CMS Collaboration: Search for new physics using effective field theory in 13 TeV pp collision events that contain a top quark pair and a boosted Z or Higgs boson.
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CMS Collaboration: Search for nonresonant Higgs boson pair production in final state with two bottom quarks and two tau leptons in proton-proton collisions at root{s}=13 TeV.
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Tumasyan, A., CMS Collaboration: Search for Nonresonant Pair Production of Highly Energetic Higgs Bosons Decaying to Bottom Quarks.
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CMS Collaboration: Search for pair-produced vector-like leptons in final states with third-generation leptons and at least three b quark jets in proton-proton collisions at root{s}=13 TeV.
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CMS Collaboration: Search for supersymmetry in final states with a single electron or muon using angular correlations and heavy-object identification in proton-proton collisions at root{s} = 13 TeV.
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CMS Collaboration, Hayrapetyan, A., Tumasyan, A., Adam, W.: Search for the lepton-flavor violating decay of the Higgs boson and additional Higgs bosons in the e ? final state in proton-proton collisions at s = 13 TeV.
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CMS Collaboration: Search for top squark pair production in a final state with at least one hadronically decaying tau lepton in proton-proton collisions at root{s} = 13 TeV.
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Vágner, A., Al-Zaidi, M.: Sharding and master-slave replication of NoSQL databases - comparison of MongoDB and Redis.
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