169 citations · 298 across the 14 of their papers we have counts for
15 papers
Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities
Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi +2
Monitoring fatigue is essential for improving safety, particularly for people who work long shifts or in high-demand workplaces. The development of wearable technologies, such as f…
Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions
Jebran Khan, Kashif Ahmad, Senthil Kumar Jagatheesaperumal +2
In the modern world, our cities and societies face several technological and societal challenges, such as rapid urbanization, global warming & climate change, the digital divide, a…
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
Kamala Devi Kannan, Senthil Kumar Jagatheesaperumal, Rajesh N. V. P. S. Kandala +3
For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) have started playing a significan…
Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges
Senthil Kumar Jagatheesaperumal, Ijaz Ahmad, Marko Höyhtyä +2
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource all…
Accelerated Multi-objective Task Learning using Modified Q-learning Algorithm
Varun Prakash Rajamohan, Senthil Kumar Jagatheesaperumal
Robots find extensive applications in industry. In recent years, the influence of robots has also increased rapidly in domestic scenarios. The Q-learning algorithm aims to maximise…
Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi +3
Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model training while keeping data localized. This approach is particularly pertinent…
MetaDigiHuman: Haptic Interfaces for Digital Humans in Metaverse
Senthil Kumar Jagatheesaperumal, Praveen Sathikumar, Harikrishnan Rajan
The way we engage with digital spaces and the digital world has undergone rapid changes in recent years, largely due to the emergence of the Metaverse. As technology continues to a…
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
Thai-Hoc Vu, Senthil Kumar Jagatheesaperumal, Minh-Duong Nguyen +3
The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet tow…
Blockchain-Based Security Architecture for Unmanned Aerial Vehicles in B5G/6G Services and Beyond: A Comprehensive Approach
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kaiqi Xiong +3
Unmanned Aerial Vehicles (UAVs), previously favored by enthusiasts, have evolved into indispensable tools for effectively managing disasters and responding to emergencies. For exam…
Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain +5
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI…
A Decentralized Cooperative Navigation Approach for Visual Homing Networks
Mohamed Rahouti, Damian Lyons, Senthil Kumar Jagatheesaperumal +1
Visual homing is a lightweight approach to visual navigation. Given the stored information of an initial 'home' location, the navigation task back to this location is achieved from…
Semantic-aware Digital Twin for Metaverse: A Comprehensive Review
Senthil Kumar Jagatheesaperumal, Zhaohui Yang, Qianqian Yang +4
To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information ex…
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc-Viet Pham, Rukhsana Ruby +3
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by enhancing the trust of end-users in machines. As the number of connected devi…
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues
Senthil Kumar Jagatheesaperumal, Kashif Ahmad, Ala Al-Fuqaha +1
Metaverse has evolved as one of the popular research agendas that let the users learn, socialize, and collaborate in a networked 3D immersive virtual world. Due to the rich multime…
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad +2
The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big D…