Publications

Export 47 results:
Sort by: Author Title [ Type (Desc)] Year
Journal Article
Reyana, A., S. Kautish, P. M. S. Karthik, I. A. Al-Baltah, M. B. Jasser, and A. W. Mohamed, "Accelerating crop yield: multisensor data fusion and machine learning for agriculture text classification", IEEE Access, vol. 11: IEEE, pp. 20795-20805, 2023. Abstract
n/a
Kaur, P., K. Kaur, K. Singh, S. Bharany, A. S. Almazyad, G. Xiong, A. W. Mohamed, M. Shokouhifar, and F. Werner, Acoustic monitoring in underwater wireless sensor networks using energy-efficient artificial fish swarm-based clustering protocol (EAFSCP), : Preprints, 2023. Abstract
n/a
Abdelghafar, S., A. Khater, A. Wagdy, A. Darwish, and A. E. Hassanien, "Aero engines remaining useful life prediction based on enhanced adaptive guided differential evolution", Evolutionary Intelligence, vol. 17, issue 2: Springer Berlin Heidelberg Berlin/Heidelberg, pp. 1209-1220, 2024. Abstract
n/a
Alnowibet, K. A., A. Khireldin, M. Abdelawwad, and A. W. Mohamed, "Airport terminal building capacity evaluation using queuing system", Alexandria Engineering Journal, vol. 61, issue 12: Elsevier, pp. 10109-10118, 2022. Abstract
n/a
Mohamed, A. W., H. Z. Sabry, and M. Khorshid, "An alternative differential evolution algorithm for global optimization", Journal of advanced research, vol. 3, no. 2: Elsevier, pp. 149–165, 2012. Abstract
n/a
Mohamed, A. W., H. Z. Sabry, and M. Khorshid, "An alternative differential evolution algorithm for global optimization", Journal of advanced research, vol. 3, issue 2: Elsevier, pp. 149-165, 2012. Abstract
n/a
Mohamed, A. W., H. Z. Sabry, and M. Khorshid, "An alternative differential evolution algorithm for global optimization", Journal of advanced research, vol. 3, issue 2: Elsevier, pp. 149-165, 2012. Abstract
n/a
Kumar Mohapatra, P., S. Kumar Rout, S. K. Bisoy, S. Kautish, M. Hamzah, M. B. Jasser, and A. W. Mohamed, "Application of Bat algorithm and its modified form trained with ANN in channel equalization", Symmetry, vol. 14, issue 10: MDPI, pp. 2078, 2022. Abstract
n/a
Makwe, A., P. Kanungo, S. Kautish, G. Madhu, A. S. Almazyad, G. Xiong, and A. W. Mohamed, "Cloud service prioritization using a Multi-Criteria Decision-Making technique in a cloud computing environment", Ain Shams Engineering Journal, vol. 15, issue 7: Elsevier, pp. 102785, 2024. Abstract
n/a
Rajawat, A. S., P. Bedi, S. B. Goyal, S. Kautish, Z. Xihua, H. Aljuaid, and A. W. Mohamed, "Dark web data classification using neural network", Computational Intelligence and Neuroscience, vol. 2022, issue 1: Hindawi, pp. 8393318, 2022. Abstract
n/a
Madhu, G., L. B. Bharadwaj, R. Boddeda, S. Vardhan, S. K. Kautish, K. Alnowibet, A. F. Alrasheedi, and A. W. Mohamed, "Deep Stacked Ensemble Learning Model for COVID-19 Classification.", Computers, Materials & Continua, vol. 70, issue 3, 2022. Abstract
n/a
Reddy, O. R., S. Kautish, P. V. Reddy, S. N. Yadav, M. M. Alanazi, and A. W. Mohamed, "Effects of integrated fuzzy logic PID controller on satellite antenna tracking system", Computational Intelligence and Neuroscience, vol. 2022, issue 1: Hindawi, pp. 7417298, 2022. Abstract
n/a
Mohamed, A. W., O. R. Reddy, S. Kautish, and P. V. Reddy, "Effects of Integrated Fuzzy Logic PID Controller on Satellite Antenna Tracking System", Computational Intelligence and Neuro Sciences, vol. 2022, pp. 1, 2022. Abstract
n/a
Alnowibet, K. A., I. Khan, K. M. Sallam, and A. W. Mohamed, "An efficient algorithm for data parallelism based on stochastic optimization", Alexandria Engineering Journal, vol. 61, issue 12: Elsevier, pp. 12005-12017, 2022. Abstract
n/a
Hassan, M. H., S. Kamel, and A. W. Mohamed, "Enhanced gorilla troops optimizer powered by marine predator algorithm: global optimization and engineering design", Scientific Reports, vol. 14, issue 1: Nature Publishing Group UK London, pp. 7650, 2024. Abstract
n/a
Song, Y., D. Wu, A. W. Mohamed, X. Zhou, B. Zhang, and W. Deng, "Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models", Complexity, vol. 2021: Hindawi, pp. 6660115, 2021. AbstractWebsite

In the past few decades, a lot of optimization methods have been applied in estimating the parameter of photovoltaic (PV) models and obtained better results, but these methods still have some deficiencies, such as higher time complexity and poor stability. To tackle these problems, an enhanced success history adaptive DE with greedy mutation strategy (EBLSHADE) is employed to optimize parameters of PV models to propose a parameter optimization method in this paper. In the EBLSHADE, the linear population size reduction strategy is used to gradually reduce population to improve the search capabilities and balance the exploitation and exploration capabilities. The less and more greedy mutation strategy is used to enhance the exploitation capability and the exploration capability. Finally, a parameter optimization method based on EBLSHADE is proposed to optimize parameters of PV models. The different PV models are selected to prove the effectiveness of the proposed method. Comparison results demonstrate that the EBLSHADE is an effective and efficient method and the parameter optimization method is beneficial to design, control, and optimize the PV systems.

Banerjee, M., V. Garg, K. Deep, M. B. Jasser, S. Kamel, and A. W. Mohamed, "Enhancing Sine–Cosine mutation strategy with Lorentz distribution for solving engineering design problems", International Journal of System Assurance Engineering and Management, vol. 15, issue 4: Springer India New Delhi, pp. 1536-1567, 2024. Abstract
n/a
Jain, K., A. Saxena, M. B. Jasser, A. Mustapha, A. W. Mohamed, and A. Q. Khan, "Evaluation of Performance of an Adaptive White Gaussian Noise and Opposition in Harris Hawks Optimizer on Application of Electricity Market", Mathematical Problems in Engineering, vol. 2022: Hindawi, pp. 1-22, 2022. Abstract
n/a
Kavitha, D., F. L. Raj, S. Kautish, A. S. Almazyad, K. M. Sallam, and A. W. Mohamed, "Fuzzy Difference Equations in Diagnoses of Glaucoma from Retinal Images Using Deep Learning", CMES-Computer Modeling in Engineering & Sciences, vol. 139, issue 1: TECH SCIENCE PRESS 871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052 USA, 2024. Abstract
n/a
Chandrika, N. G., K. Alnowibet, S. K. Kautish, S. E. Reddy, A. F. Alrasheedi, and A. W. Mohamed, "Graph Transformer for Communities Detection in Social Networks.", Computers, Materials & Continua, vol. 70, issue 3, 2022. Abstract
n/a
Nadakinamani, R. G., A. Reyana, Y. Gupta, S. Kautish, S. Ghorashi, M. M. Jamjoom, and A. W. Mohamed, "High-performance association rule mining: Mortality prediction model for cardiovascular patients with COVID-19 patterns", Alexandria Engineering Journal, vol. 71: Elsevier, pp. 347-354, 2023. Abstract
n/a
Sapra, V., L. Sapra, A. Bhardwaj, S. Bharany, A. Saxena, F. K. Karim, S. Ghorashi, and A. W. Mohamed, "Integrated approach using deep neural network and CBR for detecting severity of coronary artery disease", Alexandria Engineering Journal, vol. 68: Elsevier, pp. 709-720, 2023. Abstract
n/a
Pradhan, A., S. K. Bisoy, S. Kautish, M. B. Jasser, and A. W. Mohamed, "Intelligent decision-making of load balancing using deep reinforcement learning and parallel PSO in cloud environment", IEEE Access, vol. 10: IEEE, pp. 76939-76952, 2022. Abstract
n/a
Mohamed, A. W., A. Pradhan, S. K. Bisoy, and S. Kautish, "Intelligent Decision-Making of Load Balancing Using Deep Reinforcement Learning and Parallel PSO in Cloud Environment", IEEE Access, vol. 10, pp. 76939, 2022. Abstract
n/a
Madhu, G., A. W. Mohamed, S. Kautish, M. A. Shah, and I. Ali, "Intelligent diagnostic model for malaria parasite detection and classification using imperative inception-based capsule neural networks", Scientific Reports, vol. 13, issue 1: Nature Publishing Group UK London, pp. 13377, 2023. Abstract
n/a