Zobrazeno 1 - 10
of 28 839
pro vyhledávání: '"P. Satish"'
Publikováno v:
Electrical engineering & Electromechanics, Vol 2024, Iss 4, Pp 31-41 (2024)
Introduction. The integration of Renewable Energy Sources (RESs), particularly Wind Energy Conversion Systems (WECS), is vital for reducing reliance on fossil fuels and addressing climate change. However, this transition poses challenges, including e
Externí odkaz:
https://doaj.org/article/07890ed48bd245048be1f1e92f50e875
Autor:
T. LINGA RAJU, P. SATISH
Publikováno v:
International Journal of Applied Mechanics and Engineering, Vol 28, Iss 3, Pp 65-85 (2023)
The influence of the slip factor on the MHD 2-liquid heat transfer flow of ionized gases within a channel between two non-conducting plates with Hall currents is investigated theoretically. Slip conditions were used to obtain solutions for the veloci
Externí odkaz:
https://doaj.org/article/1ae9f27e3517461e9675e6e03371b7b9
Publikováno v:
Journal of Veterinary and Animal Sciences, Vol 54, Iss 2, Pp 322-329 (2023)
A study was conducted to assess the effect of dietary supplementation of nano zinc oxide (Zn) on mineral retention and serum mineral levels of Malabari kids. Fifteen Malabari kids of 2-3 months of age were randomly allotted to three dietary treatme
Externí odkaz:
https://doaj.org/article/1095f117c3bc4e0d98d645e9b91c00ff
The cervix is the narrow end of the uterus that connects to the vagina in the female reproductive system. Abnormal cell growth in the squamous epithelial lining of the cervix leads to cervical cancer in females. A Pap smear is a diagnostic procedure
Externí odkaz:
http://arxiv.org/abs/2411.13535
Autor:
Pal, Ashish, Nagarajaiah, Satish
Machine learning for scientific discovery is increasingly becoming popular because of its ability to extract and recognize the nonlinear characteristics from the data. The black-box nature of deep learning methods poses difficulties in interpreting t
Externí odkaz:
http://arxiv.org/abs/2411.11801
The holy grail of machine learning is to enable Continual Federated Learning (CFL) to enhance the efficiency, privacy, and scalability of AI systems while learning from streaming data. The primary challenge of a CFL system is to overcome global catas
Externí odkaz:
http://arxiv.org/abs/2411.07959
Autor:
Gotavade, Tejas Satish
This research introduces an innovative artificial intelligence-driven educational concept designed to optimize self-directed learning through personalized course delivery and automated teaching assistance. The system leverages fine-tuned AI models to
Externí odkaz:
http://arxiv.org/abs/2411.07300
Autor:
Desai, Akshar Prabhu, Mallya, Ganesh Satish, Luqman, Mohammad, Ravi, Tejasvi, Kota, Nithya, Yadav, Pranjul
Gen-AI techniques are able to improve understanding of context and nuances in language modeling, translation between languages, handle large volumes of data, provide fast, low-latency responses and can be fine-tuned for various tasks and domains. In
Externí odkaz:
http://arxiv.org/abs/2410.15653
Autor:
Bordin, Matteo, Lacava, Andrea, Polese, Michele, Satish, Sai, Nittoor, Manoj AnanthaSwamy, Sivaraj, Rajarajan, Cuomo, Francesca, Melodia, Tommaso
Next-generation wireless systems, already widely deployed, are expected to become even more prevalent in the future, representing challenges in both environmental and economic terms. This paper focuses on improving the energy efficiency of intelligen
Externí odkaz:
http://arxiv.org/abs/2410.14021
Autor:
Galib, Shaikat, Wang, Shanshan, Xu, Guanshuo, Pfeiffer, Pascal, Chesler, Ryan, Landry, Mark, Ambati, Sri Satish
Smaller vision-language models (VLMs) are becoming increasingly important for privacy-focused, on-device applications due to their ability to run efficiently on consumer hardware for processing enterprise commercial documents and images. These models
Externí odkaz:
http://arxiv.org/abs/2410.13611