Zobrazeno 1 - 10
of 5 955
pro vyhledávání: '"Kumar, Vikas A."'
Autor:
Dhar, Joy, Zaidi, Nayyar, Haghighat, Maryam, Goyal, Puneet, Roy, Sudipta, Alavi, Azadeh, Kumar, Vikas
Publikováno v:
IEEE/CVF Winter Conference on Applications of Computer Vision WACV 2025
Multimodal fusion learning has shown significant promise in classifying various diseases such as skin cancer and brain tumors. However, existing methods face three key limitations. First, they often lack generalizability to other diagnosis tasks due
Externí odkaz:
http://arxiv.org/abs/2412.01248
Our study employs the nuclear shell model to systematically compute the half-lives of $\beta$ -decay for nuclei in the mass range of $A = 18-39$, encompassing the majority of $sd$ shell nuclei. This analysis utilizes the USDB and SDNN Hamiltonians. T
Externí odkaz:
http://arxiv.org/abs/2410.06747
Landmark judgments are of prime importance in the Common Law System because of their exceptional jurisprudence and frequent references in other judgments. In this work, we leverage contextual references available in citing judgments to create an extr
Externí odkaz:
http://arxiv.org/abs/2406.10824
Routing algorithms play a crucial role in the efficient transmission of data within computer networks by determining the optimal paths for packet forwarding. This paper presents a comprehensive exploration of routing algorithms, focusing on their fun
Externí odkaz:
http://arxiv.org/abs/2403.11228
Autor:
Ghosh, Sudipto, Verma, Devanshu, Ganesan, Balaji, Bindal, Purnima, Kumar, Vikas, Bhatnagar, Vasudha
Legal research is a crucial task in the practice of law. It requires intense human effort and intellectual prudence to research a legal case and prepare arguments. Recent boom in generative AI has not translated to proportionate rise in impactful leg
Externí odkaz:
http://arxiv.org/abs/2403.10944
Knowledge infusion is a promising method for enhancing Large Language Models for domain-specific NLP tasks rather than pre-training models over large data from scratch. These augmented LLMs typically depend on additional pre-training or knowledge pro
Externí odkaz:
http://arxiv.org/abs/2403.01481
Publikováno v:
Consumer Behavior in Tourism and Hospitality, 2024, Vol. 19, Issue 4, pp. 656-669.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CBTH-03-2024-0080
Autor:
Naz, Farheen, Samadhiya, Ashutosh, Kumar, Anil, Garza-Reyes, Jose Arturo, Kazancoglu, Yigit, Kumar, Vikas, Upadhyay, Arvind
Publikováno v:
Journal of Manufacturing Technology Management, 2024, Vol. 35, Issue 7, pp. 1375-1396.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JMTM-09-2023-0401
Publikováno v:
International Journal of Quality & Reliability Management, 2023, Vol. 41, Issue 9, pp. 2351-2372.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-08-2022-0241
Generative language models, such as ChatGPT, have garnered attention for their ability to generate human-like writing in various fields, including academic research. The rapid proliferation of generated texts has bolstered the need for automatic iden
Externí odkaz:
http://arxiv.org/abs/2312.10617