2023 - Research.com Computer Science in United Arab Emirates Leader Award
2022 - Research.com Computer Science in United Arab Emirates Leader Award
Mohamed Elhoseny spends much of his time researching Genetic algorithm, Artificial intelligence, Bézier curve, Mathematical optimization and Wireless sensor network. Mohamed Elhoseny has researched Genetic algorithm in several fields, including Loan, Actuarial science and Crossover. His work carried out in the field of Artificial intelligence brings together such families of science as Computer vision and Pattern recognition.
His work on Mutation operator as part of general Mathematical optimization study is frequently linked to Start point, therefore connecting diverse disciplines of science. The concepts of his Wireless sensor network study are interwoven with issues in Key distribution in wireless sensor networks, Real-time computing and Base station. He works mostly in the field of Motion planning, limiting it down to topics relating to Shortest path problem and, in certain cases, Particle swarm optimization.
Mohamed Elhoseny focuses on Artificial intelligence, Computer network, Wireless sensor network, Distributed computing and Pattern recognition. His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence. His work on Cluster analysis expands to the thematically related Computer network.
His Wireless sensor network research incorporates themes from Key distribution in wireless sensor networks, Genetic algorithm and Cryptography. His Genetic algorithm study is concerned with the larger field of Mathematical optimization. His Encryption research is multidisciplinary, relying on both Digital image, Key and Computer security model.
His primary scientific interests are in Artificial intelligence, Machine learning, Deep learning, Process and Identification. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition. His study in the fields of Segmentation and Convolutional neural network under the domain of Pattern recognition overlaps with other disciplines such as Abnormality and Fully automatic.
His research in Machine learning intersects with topics in Home automation, Feature extraction and Heart disease. He has included themes like Ontology, Ubiquitous computing and Domain knowledge in his Identification study. His Feature selection research integrates issues from Classifier, Feature and Selection.
Mohamed Elhoseny mostly deals with Artificial intelligence, Machine learning, Algorithm, Artificial neural network and Deep learning. His research integrates issues of Computer vision and Pattern recognition in his study of Artificial intelligence. Many of his research projects under Machine learning are closely connected to Data modeling with Data modeling, tying the diverse disciplines of science together.
His study in Algorithm is interdisciplinary in nature, drawing from both Evolutionary algorithm, Optimization algorithm, Image compression and Quality of service. The study incorporates disciplines such as Distributed computing, Wearable technology, Activity recognition, The Internet and Scheduling in addition to Artificial neural network. His study in Deep learning is interdisciplinary in nature, drawing from both Home automation, Feature extraction and Intrusion detection system.
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Secure Medical Data Transmission Model for IoT-Based Healthcare Systems
Mohamed Elhoseny;Gustavo Ramirez-Gonzalez;Osama M. Abu-Elnasr;Shihab A. Shawkat.
IEEE Access (2018)
Feature selection based on artificial bee colony and gradient boosting decision tree
Haidi Rao;Xianzhang Shi;Ahoussou Kouassi Rodrigue;Juanjuan Feng.
Applied Soft Computing (2019)
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems
Ashraf Darwish;Ashraf Darwish;Aboul Ella Hassanien;Mohamed Elhoseny;Mohamed Elhoseny;Arun Kumar Sangaiah.
Journal of Ambient Intelligence and Humanized Computing (2019)
A hybrid model of Internet of Things and cloud computing to manage big data in health services applications
Mohamed Elhoseny;Ahmed Abdelaziz;Ahmed S. Salama;Ahmed S. Salama;Alaa Mohamed Riad.
Future Generation Computer Systems (2018)
Genetic algorithm based model for optimizing bank lending decisions
Noura Metawa;M. Kabir Hassan;Mohamed Elhoseny.
Expert Systems With Applications (2017)
A Genetic Algorithm-Based, Dynamic Clustering Method Towards Improved WSN Longevity
Xiaohui Yuan;Mohamed Elhoseny;Hamdy K. El-Minir;Alaa M. Riad.
Journal of Network and Systems Management (2017)
Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm
Mohamed Elhoseny;Xiaohui Yuan;Zhengtao Yu;Cunli Mao.
IEEE Communications Letters (2015)
Hybrid optimization with cryptography encryption for medical image security in Internet of Things
Mohamed Elhoseny;K. Shankar;S. K. Lakshmanaprabu;Andino Maseleno.
Neural Computing and Applications (2020)
Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications
Sriti Thakur;Amit Kumar Singh;Satya Prakash Ghrera;Mohamed Elhoseny.
Multimedia Tools and Applications (2019)
Secure and Robust Fragile Watermarking Scheme for Medical Images
Abdulaziz Shehab;Mohamed Elhoseny;Khan Muhammad;Arun Kumar Sangaiah.
IEEE Access (2018)
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