Tudóstér: Aldabbas Ashraf Khaled Abd Elkareem publikációi

Fraij, J., Aldabbas, A., Várallyai, L.: Awareness of The Impact and Usage of Artificial Intelligence in Human Resources Practices: A Developing Country Case Study.
International journal of economics and management systems. 7 579-593, 2022.

Aldabbas, A., Gál, Z.: Recurrent neural network variants based model for Cassini-Huygens spacecraft trajectory modifications recognition.
Neural Comput. Appl. 2022 13575-13598, 2022.

Aldabbas, A., Gál, Z.: Cassini-Huygens mission images classification framework by deep learning advanced approach.
Int. J. Electr. Comp. Eng. 11 (3), 2457-2466, 2021.

Aldabbas, A., Gál, Z., Ghori, K., Imran, M., Shoaib, M.: Deep Learning-Based Approach for Detecting Trajectory Modifications of Cassini-Huygens Spacecraft.
IEEE Access. 9 39111-39125, 2021.

Aldabbas, A., Gál, Z.: Deep Learning-Based Method for Detecting Cassini-Huygens Spacecraft Trajectory Modifications.
In: Proceedings of the 1st Conference on Information Technology and Data Science. Eds.: István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 19-31, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874)

Aldabbas, A., Gál, Z.: Prediction and Analysis Based on Sensor Network Data Using Machine Learning Techniques.
Eliva Press, Chisinau, 163 p., 2021. ISBN: 9781636483252

Fraij, J., Aldabbas, A., Aburumman, N.: Blockchain as an e-voting tool.
Int. J. Adv. Res. 8 (12), 858-866, 2020.

Aldabbas, A., Gál, Z.: Change Detection of the Cassini Orbit Based on Data Dissimilarity.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XI. : theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 23-29, 2020. ISBN: 9789633188866

Aldabbas, A., Gál, Z.: Complex Event Processing Based Analysis of Cassini-Huygens Interplanetary Dataset.
In: Intelligent Computing Paradigm and Cutting-edge Technologies. Ed.: Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal, Springer, Cham, 51-66, 2020, (Learning and Analytics in Intelligent Systems, ISSN 2662-3447 ; 9) ISBN: 9783030385002

Aldabbas, A., Gál, Z.: Learning and Reasoning with structured Prediction Based on Revealing Event Complexity.
Int. J. Adv. Sci. Technol. 29 (3), 13816-13828, 2020.

Aldabbas, A., Gál, Z.: On the constructive knowledge-based event intelligent identification mechanism.
J. Theor. Appl. Inf. Technol. 98 (24), 4169-4180, 2020.

Aldabbas, A., Gál, Z.: Getting facts about interplanetary mission of Cassini-Huygens spacecraft.
In: Az elmélet és a gyakorlat találkozása a térinformatikában X. = theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debrecen Egyetemi Kiadó, Debrecen, 27-34, 2019.

Aldabbas, A., Gál, Z.: On the Complex Event Identification Based on Cognitive Classification Process.
In: 10th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2019 : Proceedings. Ed.: Péter Baranyi, Anna Esposito, Nelson Mauro Maldonato, Carl Vogel, IEEE, Piscataway, 29-34, 2019. ISBN: 9781728147932

Aldabbas, A., Gál, Z., Korteby, M.: 3D GIS - A Major Step Analysis to Evaluate Convenient Healthy Residential District Based on Environmental Sensory Data Sets.
In: Az elmélet és a gyakorlat találkozása a térinformatikában IX. = Theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 77-84, 2018. ISBN: 9789633187234

Gál, Z., Korteby, M., Aldabbas, A.: Estimation of the Wireless Sensor Network Performance using Fractal Behavior of the Generated Cognitive Harmonic Waves.
In: 9th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2018: Proceedings. Ed.: by Péter Baranyi, IEEE, Piscataway, 57-62, 2018. ISBN: 9781538670941

Gál, Z., Korteby, M., Aldabbas, A.: Impact of the delay tolerance in wireless sensor networks: Buffer occupancy and energy consumption aspects.
In: Proceedings of 2018 IEEE International Conference on Future IoT Technologies (Future IoT 2018), IEEE, Washington, [1-8], 2018. ISBN: 9781538612088

Korteby, M., Gál, Z., Aldabbas, A.: Impact of the Geographic Map Based Movement on the Communication Quality of Sensor Networks.
In: Az elmélet és a gyakorlat találkozása a térinformatikában IX. = Theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 179-186, 2018. ISBN: 9789633187234

Aldabbas, A., Gál, Z., Buchman, A.: Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)- Jordan Region Using Sensed Datasets.
Carpathian J. Electr. Comp. Eng. 11 (2), 50-55, 2018.