His scientific interests lie mostly in Artificial intelligence, Wireless sensor network, Computer network, Computer security and Routing. His studies in Artificial intelligence integrate themes in fields like Machine learning, Computer vision and Pattern recognition. The Wireless sensor network study combines topics in areas such as Network performance, Algorithm, Particle swarm optimization, Cluster analysis and Real-time computing.
His Computer network research is multidisciplinary, relying on both Wireless, Mobile sink, Key distribution in wireless sensor networks and Sensor fusion. In his work, False positive rate, Language model, Android and Android malware is strongly intertwined with Mobile device, which is a subfield of Computer security. The various areas that Arun Kumar Sangaiah examines in his Routing study include Simulated annealing, Heuristic and Heuristic.
His primary areas of study are Artificial intelligence, Computer network, Cloud computing, Computer security and Wireless sensor network. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Computer vision and Pattern recognition. His Computer network study incorporates themes from Wireless, Wireless network and The Internet.
His study focuses on the intersection of Cloud computing and fields such as Distributed computing with connections in the field of Scheduling. Particularly relevant to Authentication is his body of work in Computer security. Arun Kumar Sangaiah has researched Wireless sensor network in several fields, including Real-time computing and Cluster analysis.
Artificial intelligence, Cloud computing, Machine learning, Computer network and Pattern recognition are his primary areas of study. Deep learning, Artificial neural network, Feature extraction, Support vector machine and Convolutional neural network are the subjects of his Artificial intelligence studies. His Cloud computing research incorporates themes from Computer security, Scalability, Index and Text segmentation.
His Computer network research includes themes of Wireless, Key, The Internet, Vehicular ad hoc network and Edge computing. His biological study spans a wide range of topics, including Node and Transmission. His research integrates issues of Image, Filter and Benchmark in his study of Pattern recognition.
His main research concerns Artificial intelligence, Convolutional neural network, Support vector machine, Cloud computing and Wireless sensor network. His Artificial intelligence research integrates issues from Machine learning and Pattern recognition. In his study, Medical history, Overfitting, Chronic alcoholism and Speech recognition is strongly linked to Normalization, which falls under the umbrella field of Convolutional neural network.
His research in Support vector machine intersects with topics in Bag-of-words model, Local binary patterns, Deep learning, Computer vision and Image scaling. He interconnects Distributed computing, Computer security, Real-time computing, Online machine learning and Scheduling in the investigation of issues within Cloud computing. He has included themes like Local area network, Edge computing, Enhanced Data Rates for GSM Evolution, Green computing and Risk analysis in his Wireless sensor network study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Pattern recognition of electromyography signals based on novel time domain features for amputees' limb motion classification☆
Oluwarotimi Williams Samuel;Hui Zhou;Xiangxin Li;Hui Wang.
Computers & Electrical Engineering (2017)
An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction
Oluwarotimi Williams Samuel;Grace Mojisola Asogbon;Arun Kumar Sangaiah;Peng Fang.
Expert Systems With Applications (2017)
A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks
jin wang;Chunwei Ju;Yu Gao;Arun Kumar Sangaiah.
Cmc-computers Materials & Continua (2018)
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)
Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry
Vipul Jain;Arun Kumar Sangaiah;Sumit Sakhuja;Nittin Thoduka.
Neural Computing and Applications (2018)
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)
Anonymous mutual authentication and key agreement scheme for wearable sensors in wireless body area networks
Xiong Li;Maged Hamada Ibrahim;Saru Kumari;Arun Kumar Sangaiah.
Computer Networks (2017)
A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments
Xiong Li;Jianwei Niu;Saru Kumari;Fan Wu.
Journal of Network and Computer Applications (2018)
Secure and Robust Fragile Watermarking Scheme for Medical Images
Abdulaziz Shehab;Mohamed Elhoseny;Khan Muhammad;Arun Kumar Sangaiah.
IEEE Access (2018)
An elliptic curve cryptography based lightweight authentication scheme for smart grid communication
Khalid Mahmood;Shehzad Ashraf Chaudhry;Husnain Naqvi;Saru Kumari.
Future Generation Computer Systems (2018)
Profile was last updated on December 6th, 2021.
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