Zobrazeno 1 - 10
of 13 441
pro vyhledávání: '"Srinivasa Rao, A"'
Autor:
Nandi, Anuj, Singh, Swapnil, Jaiswal, Bhavesh, Jain, Anand, Verma, Smrati, Palawat, Reenu, T., Ravishankar B., Singh, Brajpal, Tyagi, Anurag, Das, Priyanka, Bose, Supratik, Verma, Supriya, Gautam, Waghmare Rahul, R., Yogesh Prasad K., Raha, Bijoy, Mendhekar, Bhavesh, K., Sathyanaryana Raju, V., Srinivasa Rao Kondapi, Kumar, Sumit, Thakur, Mukund Kumar, Bhatia, Vinti, Sharma, Nidhi, Yenni, Govinda Rao, Satya, Neeraj Kumar, Raghavendra, Venkata, S., Vivechana M., Justin, Evangelin Leeja, Karmakar, Praloy, Patra, Anurag, J., Naga Manjusha, Srikanth, Motamarri, Rajhans, Chinmay Kumar, K., Kalpana, P, Veeramuthuvel
SHAPE (Spectro-polarimetry of HAbitable Planet Earth) is an experiment onboard the Chandrayaan-3 Mission, designed to study the spectro-polarimetric signatures of the habitable planet Earth in the near-infrared (NIR) wavelength range (1.0 - 1.7 $\mu$
Externí odkaz:
http://arxiv.org/abs/2412.07416
Autor:
Hamada, Kou, Chakraborty, Sankardeep, Jo, Seungbum, Koriyama, Takuto, Sadakane, Kunihiko, Satti, Srinivasa Rao
Tree covering is a technique for decomposing a tree into smaller-sized trees with desirable properties, and has been employed in various succinct data structures. However, significant hurdles stand in the way of a practical implementation of tree cov
Externí odkaz:
http://arxiv.org/abs/2407.00573
Vision transformers combined with self-supervised learning have enabled the development of models which scale across large datasets for several downstream tasks like classification, segmentation and detection. The low-shot learning capability of thes
Externí odkaz:
http://arxiv.org/abs/2406.17460
Masked Image Modeling (MIM)-based models, such as SdAE, CAE, GreenMIM, and MixAE, have explored different strategies to enhance the performance of Masked Autoencoders (MAE) by modifying prediction, loss functions, or incorporating additional architec
Externí odkaz:
http://arxiv.org/abs/2406.17450
Autor:
Konda, Srinivasa Rao, Barik, Puspendu, Singh, Subshash, Mottamchetty, Venkatesh, Srivasthava, Amit, Kim, Vyacheslav V., Ganeev, Rashid A., Guo, Chunlei, Li, Wei
Research of the nonlinear optical characteristics of transition metal dichalcogenides in the presence of photoactive particles, plasmonic nanocavities, waveguides, and metamaterials is still in its early stages. This investigation delves into the hig
Externí odkaz:
http://arxiv.org/abs/2404.14847
Charge transfer mechanism on MoS$_2$ nanosheets in the presence of a semiconductor photoactive media
Autor:
Konda, Srinivasa Rao, Barik, Puspendu, Singh, Subshash, Mottamchetty, Venkatesh, Srivasthava, Amit, Ganeev, Rashid A., Rao, Soma Venugopal, Guo, Chunlei, Li, Wei
The studies of the nonlinear optical (NLO) properties of the transition metal dichalcogenides (TMDs) coupled with photoactive particles, plasmonic nanocavities, waveguides, and metamaterials remain in their infancy. This study investigates the third-
Externí odkaz:
http://arxiv.org/abs/2404.12561
Autor:
Gupta, Vikhyath, P, Srinivasa Rao
In recent years, the use of open-source models has gained immense popularity in various fields, including legal language modelling and analysis. These models have proven to be highly effective in tasks such as summarizing legal documents, extracting
Externí odkaz:
http://arxiv.org/abs/2404.06751
Autor:
Urlana, Ashok, Saibewar, Aditya, Garlapati, Bala Mallikarjunarao, Kumar, Charaka Vinayak, Singh, Ajeet Kumar, Chalamala, Srinivasa Rao
The Large Language Models (LLMs) exhibit remarkable ability to generate fluent content across a wide spectrum of user queries. However, this capability has raised concerns regarding misinformation and personal information leakage. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2403.16592
Autor:
Urlana, Ashok, Kumar, Charaka Vinayak, Singh, Ajeet Kumar, Garlapati, Bala Mallikarjunarao, Chalamala, Srinivasa Rao, Mishra, Rahul
Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks. From natural language processing and sentiment analysis to content ge
Externí odkaz:
http://arxiv.org/abs/2402.14558
Publikováno v:
Journal of Capital Markets Studies, 2024, Vol. 8, Issue 2, pp. 173-194.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JCMS-12-2023-0049
