8 papers
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…
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…
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…
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…
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…