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Bejelentkezés
A Tudóstér funkcióinak nagy része bejelentkezés nélkül is elérhető. Bejelentkezésre az alábbi műveletekhez van szükség:
Tashfeen, M., Jassim, H. S., Dayan, F., Rehman, M. A., Alwahab, D. Z., Neamah, H. A.: An Analytical Approach to Modeling Conjunctival Viral Disease using Fuzzy Logic and Time-Delay Dynamics. Healthcare Analytics. [Epub ahead of print], 1-30, (cikkazonosító: 100404), 2025.
Amir, M., Rahman, J. U., Ali, A. H., Raza, A., Abduljabbar, Z. A., Neamah, H. A.: Deep Learning-Based Technique for Investigating the Behavior of MEMS Systems with Multiwalled Carbon Nanotubes and Electrically Actuated Microbeams. Methodsx. 14, 1-14, (cikkazonosító: 103337), 2025.
Hakeem, E., Jawad, S., Ali, A. H., Kallel, M., Neamah, H. A.: How mathematical models might predict desertification from global warming and dust pollutants. MethodsX. 14, 1-19, (cikkazonosító: 103259), 2025.
Ali, A. H., Ahmad, A., Abbas, F., Hincal, E., Ghaffar, A., Batiha, B., Neamah, H. A.: Modeling the Behavior of a Generalized Cholera Epidemic Model with Asymptomatic Measures for Early Detection. PLoS One. 20 (3), 1-26, (cikkazonosító: 0319684), 2025.
Zamri, S. N. A., Ali, S., Azeem, M., Neamah, H. A., Almohsen, B.: The Mixed Partition Dimension: A New Resolvability Parameter in Graph Theory. IEEE Access. Online first, 1-9, 2025.
Jawad, M., Yassin, A. A., Al, A. H. A. A., Abduljabbar, Z. A., Nyangaresi, V. O., Hussien, Z. A., Neamah, H. A.: Towards Secure IoT Authentication System Based on Fog Computing and Blockchain Technologies to Resist 51% and Hijacking Cyber-Attacks. JJCIT. "Accepted by Publisher", 1-23, 2025.
Rana, J. M., Mudhafar, J. J. G., Zaid, A. A., Vincent, O. N., Iman, Q. A., Ali, A. H., Alshuwaili, D. G. H., Neamah, H. A.: A Robust Hybrid Machine and Deep Learning-based Model for Classification And Identification in Chest X-ray Images. Eng Techl Appl Sci Res. 14 (5), 16212-16220, 2024.
Nadeem, M., Arqub, O. A., Ali, A. H., Neamah, H. A.: Bifurcation, chaotic analysis and soliton solutions to the (3+1)-dimensional p-type model. Alex Eng J. 107, 245-253, 2024.
Neamah, H. A., Mousa, A. G.: Bio-inspired microstructures for high-performance and self-powered E-skin technologies. Chem. Eng. J. Adv. 20, 1-22, (cikkazonosító: 100664), 2024.
Zenan, G., Neamah, H. A., Szemes, P. T.: Bond Graph Benefits the Education in Mechatronics Engineering. In: 2024 IEEE 21st International Power Electronics and Motion Control Conference, IEEE, New York, 1-6, 2024.
Neamah, H. A., Butdee, R.: B-Splined Trajectory Modified Generation to Maximize Speed of the Nonholonomic AMR Robot. J. Machine Eng. 24 (4), 1-14, 2024.
Neamah, H. A., Dulaimi, M., Silavinia, A., Babangida, A., Szemes, P. T.: Development of a Volkswagen Jetta MK5 Hybrid Vehicle for Optimized System Efficiency Based on a Genetic Algorithm. Energies. 17 (5), 1-25, (cikkazonosító: 1116), 2024.
Q2 Renewable Energy, Sustainability and the Environment
13.
Ahmad, A., Ali, M., Ali, A. H., Abd, E. R. M., Hincal, E., Neamah, H. A.: Mathematical analysis with control of liver cirrhosis causing from HBV by taking early detection measures and chemotherapy treatment. Sci. Rep. 14, 1-22, (cikkazonosító: 28463), 2024.
Nyangaresi, V. O., Ghaib, A. A., Jasim, H. M., Abduljabbar, Z. A., Ma, J., Sibahee, M. A. A., Aldarwish, A. J. Y., Ali, H. A., Neamah, H. A.: Message Verification Protocol Based on Bilinear Pairings and Elliptic Curves for Enhanced Security in Vehicular Ad Hoc Networks. CMC-COMPUT MATER CON. 81 (1), 1029-1057, 2024.
Neamah, H. A., Alghazawi, M., Korondi, P.: Multi-Agents Trajectory Prediction for Autonomous Vehicles with Multi-Modal Predictions. In: IEEE CogInfoCom 2024: 2024 15th IEEE International Conference on Cognitive Infocommunications /, IEEE, Tokyo, 259-264, 2024. ISBN: 9798350378245
Neamah, H. A., Mohammed, A. K., Magd, S. D.: 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
Katona, K., Neamah, H. A., Korondi, P.: Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot. Sensors. 24 (11), 1-47, (cikkazonosító: 3573), 2024.
Salim, S., Dayan, F., Rehman, M. A., Neamah, H. A.: Optimization and Control in Rubella Transmission Dynamics: A Boundedness-Preserving Numerical Model with Vaccination. Inform. Med. Unlocked. 51, 1-12, (cikkazonosító: 101595), 2024.
Neamah, H. A., Mayorga, O. A. M.: Optimized TD3 Algorithm for Robust Autonomous Navigation in Crowded and Dynamic Human-Interaction Environments. Results in Engineering. 24, 1-23, (cikkazonosító: 102874), 2024.
Neamah, H. A., Donát, E., Korondi, P.: Optimizing Autonomous Navigation In Unknown Environments: A Novel Trap Avoiding Vector Field Histogram algorithm VFH+T. Results in Engineering. 23, 1-29, (cikkazonosító: 102625), 2024.
Nyangaresi, V. O., Abduljabbar, Z. A., Mutlaq, K. A. A., Bulbul, S. S., Ma, J., Aldarwish, A. J. Y., Alshuwaili, D. G. H., Al, S. M. A., Neamah, H. A.: Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme. Sci. Rep. 14 (1), 1-17, (cikkazonosító: 16223), 2024.
Ali, Z. A., Abduljabbar, Z. A., Al, A. H. A. A., Nyangaresi, V. O., Aldarwish, A. J. Y., Neamah, H. A.: Smart Grid and Renewable Energy Security Challenges: A Review. Lecture Notes in Networks and Systems 1119, 805-825, 2024.
Keczán, L., Őrsi, B., Katona, K., Mikuska, R., Neamah, H. A., Csukonyi, C., Korondi, P.: Technical limitations of Organic Human-Robot Interaction (O-HRI) for mobile robots moving amongst humans. In: 2024 IEEE 21st International Power Electronics and Motion Control Conference (PEMC), IEEE, [s.l.], 1-6, 2024. ISBN: 9798350385236
Neamah, H. A., Tandio, J.: Towards the development of foods 3D printer: Trends and technologies for foods printing. Heliyon. 10 (13), 1-25, (cikkazonosító: 33882), 2024.
Mudhafar, J. J. G., Siamand, H. M., Luqman, Q. A., Murthad, H. A. Y., Zaid, A. A., Alshuwaili, D. G. H., Vincent, O. N., Iman, Q. A., Neamah, H. A.: Utilising Machine Learning for the Early Detection of Coronary Heart Disease. Eng Techl Appl Sci Res. 14 (5), 17363-17375, 2024.
SCImago besorolással rendelkező tudományos folyóiratcikkek
SCImago besorolással rendelkező tudományos folyóiratcikkek száma: 21
Q1/D12 (9,5%)
Q111 (52,4%)
Q29 (42,9%)
Q31 (4,8%)
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