Zobrazeno 1 - 10
of 16 895
pro vyhledávání: '"SENTHIL, P."'
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:
Kumar, C. Senthil, Radha, R.
Publikováno v:
Wave motion 133 (2025) 103456
In this paper, we analyse the (3+1) dimensional Bogoyavlensky - Konopelchenko equation. Using Painlev\'e Truncation approach, we have constructed solutions in terms of lower dimensional arbitrary functions of space and time. By suitably harnessing th
Externí odkaz:
http://arxiv.org/abs/2412.10333
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
JWST has allowed the discovery of a significant population of galaxies at z > 10. Our understanding of the astrophysical properties of these ultra-high redshift galaxies relies on fitting templates, developed using astrophysical models representing o
Externí odkaz:
http://arxiv.org/abs/2412.01893
Autor:
Madhivanan, Vimaladevi, Vijaya, Kalavakonda, Lal, Abhay, Rithika, Senthil, Subramaniam, Shamala Karupusamy, Sameer, Mohamed
Osteoporosis, a prevalent condition among the aging population worldwide, is characterized by diminished bone mass and altered bone structure, increasing susceptibility to fractures. It poses a significant and growing global public health challenge o
Externí odkaz:
http://arxiv.org/abs/2411.15253
Autor:
Awadalla, Anas, Xue, Le, Shu, Manli, Yan, An, Wang, Jun, Purushwalkam, Senthil, Shen, Sheng, Lee, Hannah, Lo, Oscar, Park, Jae Sung, Guha, Etash, Savarese, Silvio, Schmidt, Ludwig, Choi, Yejin, Xiong, Caiming, Xu, Ran
We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthetic dense image captions with web-scale alt-text to generate factually
Externí odkaz:
http://arxiv.org/abs/2411.07461
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
Autor:
Wozniak, Maciej K., Govindarajan, Hariprasath, Klingner, Marvin, Maurice, Camille, Kiran, B Ravi, Yogamani, Senthil
Recent self-supervised clustering-based pre-training techniques like DINO and Cribo have shown impressive results for downstream detection and segmentation tasks. However, real-world applications such as autonomous driving face challenges with imbala
Externí odkaz:
http://arxiv.org/abs/2410.23085
Object Detection is related to Computer Vision. Object detection enables detecting instances of objects in images and videos. Due to its increased utilization in surveillance, tracking system used in security and many others applications have propell
Externí odkaz:
http://arxiv.org/abs/2410.16320