Publications

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2024
Sasikumar, A., L. Ravi, M. Devarajan, A. Selvalakshmi, A. T. Almaktoom, A. S. Almazyad, G. Xiong, and A. W. Mohamed, "Blockchain-assisted hierarchical attribute-based encryption scheme for secure information sharing in industrial internet of things", IEEE Access: IEEE, 2024. Abstract
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Asaithambi, S., L. Ravi, M. Devarajan, A. S. Almazyad, G. Xiong, and A. W. Mohamed, "Enhancing enterprises trust mechanism through integrating blockchain technology into e-commerce platform for SMEs", Egyptian Informatics Journal, vol. 25: Elsevier, pp. 100444, 2024. Abstract
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Suguna, M., A. Sreenivasan, L. Ravi, M. Devarajan, M. Suresh, A. S. Almazyad, G. Xiong, I. Ali, and A. W. Mohamed, "Entrepreneurial education and its role in fostering sustainable communities", Scientific Reports, vol. 14, issue 1: Nature Publishing Group UK London, pp. 7588, 2024. Abstract
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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
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Ramujee, K., P. Sadula, G. Madhu, S. Kautish, A. S. Almazyad, G. Xiong, and A. W. Mohamed, "Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Networks.", CMES-Computer Modeling in Engineering & Sciences, vol. 139, issue 2, 2024. Abstract
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2023
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
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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
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Reyana, A., S. Kautish, K. A. Alnowibet, H. M. Zawbaa, and A. W. Mohamed, "Opportunities of IoT in fog computing for high fault tolerance and sustainable energy optimization", Sustainability, vol. 15, issue 11: MDPI, pp. 8702, 2023. Abstract
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De, S., D. Saha, A. M. K. Sallam, and I. Radwan, Practical autonomous driving: A survey of challenges and opportunities, : Preprints, 2023. Abstract
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2022
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
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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
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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
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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
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Ortega-Sánchez, N., E. Rodríguez-Esparza, D. Oliva, M. Pérez-Cisneros, A. W. Mohamed, G. Dhiman, and R. Hernández-Montelongo, "Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding", Soft Computing: Springer Berlin Heidelberg, pp. 1-37, 2022. Abstract
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Reyana, A., S. Kautish, I. S. Yahia, and A. W. Mohamed, "MTEDS: Multivariant Time Series‐Based Encoder‐Decoder System for Anomaly Detection", Computational Intelligence and Neuroscience, vol. 2022, issue 1: Hindawi, pp. 4728063, 2022. Abstract
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Rajawat, A. S., P. Bedi, S. B. Goyal, S. Kautish, Z. Xihua, H. Aljuaid, and A. W. Mohamed, Research Article Dark Web Data Classification Using Neural Network, , 2022. Abstract
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Reyana, A., S. Kautish, I. S. Yahia, and A. W. Mohamed, Research Article MTEDS: Multivariant Time Series-Based Encoder-Decoder System for Anomaly Detection, , 2022. Abstract
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Nadakinamani, R. G., A. Reyana, S. Kautish, A. S. Vibith, Y. Gupta, S. F. Abdelwahab, and A. W. Mohamed, "[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques", Computational intelligence and neuroscience, vol. 2022, issue 1: Hindawi, pp. 2973324, 2022. Abstract
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Nadakinamani, R. G., A. Reyana, S. Kautish, A. S. Vibith, Y. Gupta, S. F. Abdelwahab, and A. W. Mohamed, "[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques", Computational intelligence and neuroscience, vol. 2022, issue 1: Hindawi, pp. 2973324, 2022. Abstract
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2021
Mohamed, A. W., N. Ortega-Sánchez, E. Rodríguez-Esparza, and D. Oliva, Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding, , 2021. Abstract
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2015
El-Quliti, S. A., A. H. M. Ragab, R. Abdelaal, A. W. Mohamed, A. S. Mashat, A. Y. Noaman, and A. H. Altalhi, "A Nonlinear Goal Programming Model for University Admission Capacity Planning with Modified Differential Evolution Algorithm", Mathematical Problems in Engineering, vol. 2015: Hindawi Publishing Corporation, pp. 892937, 2015. AbstractWebsite

This paper proposes a nonlinear Goal Programming Model (GPM) for solving the problem of admission capacity planning in academic universities. Many factors of university admission capacity planning have been taken into consideration among which are number of admitted students in the past years, total population in the country, number of graduates from secondary schools, desired ratios of specific specialties, faculty-to-students ratio, and the past number of graduates. The proposed model is general and has been tested at King Abdulaziz University (KAU) in the Kingdom of Saudi Arabia, where the work aims to achieve the key objectives of a five-year development plan in addition to a 25-year future plan (AAFAQ) for universities education in the Kingdom. Based on the results of this test, the proposed GPM with a modified differential evolution algorithm has approved an ability to solve general admission capacity planning problem in terms of high quality, rapid convergence speed, efficiency, and robustness.

El-Quliti, S. A., A. H. M. Ragab, R. Abdelaal, A. W. Mohamed, A. S. Mashat, A. Y. Noaman, and A. H. Altalhi, "A nonlinear goal programming model for university admission capacity planning with modified differential evolution algorithm", Mathematical Problems in Engineering, vol. 2015: https://doi.org/10.1155/2015/892937, pp. 13, 2015. Abstract
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El-Quliti, S. A., A. H. M. Ragab, R. Abdelaal, A. W. Mohamed, A. S. Mashat, A. Y. Noaman, and A. H. Altalhi, Research Article A Nonlinear Goal Programming Model for University Admission Capacity Planning with Modified Differential Evolution Algorithm, , 2015. Abstract
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