Zobrazeno 1 - 10
of 12 275
pro vyhledávání: '"P Selvaraj"'
Publikováno v:
Indian Journal of Animal Sciences, Vol 93, Iss 9 (2023)
There is limited data on minimally invasive coelioscopy in smaller exotic birds like budgerigar. This study was taken primarily to collect baseline data of internal organs of budgerigar during a diagnostic coelioscopic procedure. A 2.7 mm 180 mm rigi
Externí odkaz:
https://doaj.org/article/a3680d4070ea4a14857681a182f2efe3
Let $G$ be a finite solvable group and let $\Delta(G)$ be the character degree graph of $G$. In this paper, we obtain the metric dimension of certain character degree graphs. Specifically, we calculate the metric dimension for a regular character deg
Externí odkaz:
http://arxiv.org/abs/2411.15794
This study presents a deep learning approach to predicting structural and electronic properties of materials using Graph Neural Networks (GNNs). Leveraging data from the Materials Project database, we construct graph representations of crystal struct
Externí odkaz:
http://arxiv.org/abs/2411.02331
Autor:
K JAYALAKSHMI, P SELVARAJ, M VEERASELVAM, R RAVIKUMAR, M SARAVANAN, M VENKATESAN, P K RAMKUMAR
Publikováno v:
Indian Journal of Animal Sciences, Vol 92, Iss 4 (2022)
Externí odkaz:
https://doaj.org/article/0fb92e466dc742b6b3cf2783751a54e1
Conventional route planning services typically offer the same routes to all drivers, focusing primarily on a few standardized factors such as travel distance or time, overlooking individual driver preferences. With the inception of autonomous vehicle
Externí odkaz:
http://arxiv.org/abs/2407.17980
The intersection of cloud computing, blockchain technology, and the impending era of quantum computing presents a critical juncture for data security. This research addresses the escalating vulnerabilities by proposing a comprehensive framework that
Externí odkaz:
http://arxiv.org/abs/2407.18923
Autor:
Selvaraj, Dinesh Cyril, Vitale, Christian, Panayiotou, Tania, Kolios, Panayiotis, Chiasserini, Carla Fabiana, Ellinas, Georgios
In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep reinforcement learning (C-DRL). AA aims to safely emulate human driving to
Externí odkaz:
http://arxiv.org/abs/2407.02546
With the increasing prevalence of autonomous vehicles, it is essential for computer vision algorithms to accurately assess road features in real-time. This study explores the LaneSegNet architecture, a new approach to lane topology prediction which i
Externí odkaz:
http://arxiv.org/abs/2406.15946
Autor:
Wei, Changshuai, Zelditch, Benjamin, Chen, Joyce, Ribeiro, Andre Assuncao Silva T, Tay, Jingyi Kenneth, Elizondo, Borja Ocejo, Selvaraj, Keerthi, Gupta, Aman, De Almeida, Licurgo Benemann
Computational marketing has become increasingly important in today's digital world, facing challenges such as massive heterogeneous data, multi-channel customer journeys, and limited marketing budgets. In this paper, we propose a general framework fo
Externí odkaz:
http://arxiv.org/abs/2405.10490
Autor:
Guo, Xiaobao, Yu, Zitong, Selvaraj, Nithish Muthuchamy, Shen, Bingquan, Kong, Adams Wai-Kin, Kot, Alex C.
Automated deception detection is crucial for assisting humans in accurately assessing truthfulness and identifying deceptive behavior. Conventional contact-based techniques, like polygraph devices, rely on physiological signals to determine the authe
Externí odkaz:
http://arxiv.org/abs/2405.06995