Zobrazeno 1 - 10
of 4 491
pro vyhledávání: '"P, Senthil Kumar"'
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
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
Autor:
Kämmerer, Lea, Kämmerer, Gérald, Gruber, Manuel, Grunwald, Jan, Lojewski, Tobias, Mercadier, Laurent, Guyader, Loïc Le, Carley, Robert, Carinan, Cammille, Gerasimova, Natalia, Hickin, David, Van Kuiken, Benjamin E., Mercurio, Giuseppe, Teichmann, Martin, Kuppusamy, Senthil Kumar, Scherz, Andreas, Ruben, Mario, Sokolowski-Tinten, Klaus, Eschenlohr, Andrea, Ollefs, Katharina, Schmitz-Antoniak, Carolin, Tuczek, Felix, Kratzer, Peter, Bovensiepen, Uwe, Wende, Heiko
The photoinduced switching of Fe(II)-based spin-crossover complexes from singlet to quintet takes place at ultrafast time scales. This a priori spin-forbidden transition triggered numerous time-resolved experiments of solvated samples to elucidate th
Externí odkaz:
http://arxiv.org/abs/2312.01483
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 any other location by comparing the stored home information to the cu
Externí odkaz:
http://arxiv.org/abs/2310.00906
Autor:
Alizadehsani, Roohallah, Oyelere, Solomon Sunday, Hussain, Sadiq, Calixto, Rene Ripardo, de Albuquerque, Victor Hugo C., Roshanzamir, Mohamad, Rahouti, Mohamed, Jagatheesaperumal, Senthil Kumar
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 and ML models are becoming more complex, there is a growing need for
Externí odkaz:
http://arxiv.org/abs/2309.12177