Zobrazeno 1 - 10
of 3 580
pro vyhledávání: '"A P. Senthil Kumar"'
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:
Indian Journal of Community Medicine, Vol 46, Iss 1, Pp 80-84 (2021)
Background: The Village Health, Sanitation, and Nutrition Committee (VHSNC) is a participatory effort aimed to strengthen the village-level agencies and to provide better health and sanitation services. However, there is a lack of evidence on the fun
Externí odkaz:
https://doaj.org/article/07a440793688453bb633b674d2f8056e
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
Autor:
Jagatheesaperumal, Senthil Kumar, Rahouti, Mohamed, Xiong, Kaiqi, Chehri, Abdellah, Ghani, Nasir, Bieniek, Jan
Unmanned Aerial Vehicles (UAVs), previously favored by enthusiasts, have evolved into indispensable tools for effectively managing disasters and responding to emergencies. For example, one of their most critical applications is to provide seamless wi
Externí odkaz:
http://arxiv.org/abs/2312.06928