Zobrazeno 1 - 10
of 4 564
pro vyhledávání: '"P SENTHIL KUMAR"'
Autor:
Kakhi, Kourosh, Jagatheesaperumal, Senthil Kumar, Khosravi, Abbas, Alizadehsani, Roohallah, Acharya, U Rajendra
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 fitness trackers and smartwatches, has made it possible to continuously
Externí odkaz:
http://arxiv.org/abs/2412.16847
Autor:
Kannan, Kamala Devi, Jagatheesaperumal, Senthil Kumar, Kandala, Rajesh N. V. P. S., Lotfaliany, Mojtaba, Alizadehsanid, Roohallah, Mohebbi, Mohammadreza
For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) has started playing a significant role. By evaluating complex data from imaging, genetics, and behavior
Externí odkaz:
http://arxiv.org/abs/2412.06147
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, and social inequalities, increasing the need for more sustainable citie
Externí odkaz:
http://arxiv.org/abs/2412.03600
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 allocation, and security attacks. The utilization of deep learning techni
Externí odkaz:
http://arxiv.org/abs/2410.23949
Publikováno v:
International Journal of Ad Hoc and Ubiquitous Computing Vol. 47, No. 1, Year: 2024
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 the reward for reaching the goal. This paper proposes a modified vers
Externí odkaz:
http://arxiv.org/abs/2409.01046
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 advance, the demand for sophisticated and immersive interfaces to inter
Externí odkaz:
http://arxiv.org/abs/2409.00615
Autor:
Jagatheesaperumal, Senthil Kumar, Rahouti, Mohamed, Alfatemi, Ali, Ghani, Nasir, Quy, Vu Khanh, Chehri, Abdellah
Publikováno v:
IEEE Internet of Things Magazine, Year: 2024, Volume: 7, Issue: 5
Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model training while keeping data localized. This approach is particularly pertinent in the Industrial Internet of Things (IIoT) context, where data priva
Externí odkaz:
http://arxiv.org/abs/2409.02127
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S, M, Senthil Kumar A, A, Kannan
Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early and accurate disease identification is important in agriculture to av
Externí odkaz:
http://arxiv.org/abs/2407.11753
Autor:
Vu, Thai-Hoc, Jagatheesaperumal, Senthil Kumar, Nguyen, Minh-Duong, Van Huynh, Nguyen, Kim, Sunghwan, Pham, Quoc-Viet
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 toward an AI-integrated Internet-of-Things (IoT) era. Nevertheless, most
Externí odkaz:
http://arxiv.org/abs/2405.20024
Publikováno v:
Indian Journal of Transplantation, Vol 13, Iss 3, Pp 179-183 (2019)
Introduction: In India, deceased donor kidney transplantation accounts for less than 1% of total kidney transplants that are performed each year. Objectives: To assess the outcomes of deceased donor kidney transplantation. Methodology: We retrospecti
Externí odkaz:
https://doaj.org/article/82c6bb3612a040f79d4a4e2b29428d9d
