Zobrazeno 1 - 10
of 1 770 325
pro vyhledávání: '"Singh IS"'
Autor:
TEXONO Collaboration, Karmakar, S., Singh, M. K., Sharma, V., Wong, H. T., C., Greeshma, Li, H. B., Singh, L., Agartioglu, M., Chen, J. H., Chiang, C. I., Deniz, M., Hsu, H. C., Karadag, S., Kumar, V., Leung, C. H., Li, J., Lin, F. K., Lin, S. T., Liu, S. K., Ma, H., Saraswat, K., Singh, V., Tanabe, D., Wang, J. S., Yang, L. T., Yeh, C. H., Yue, Q.
Neutrino nucleus elastic scattering ({\nu}Ael) with reactor neutrinos is an interaction under full quantum-mechanical coherence. It has not yet been experimentally observed. We present new results on the studies of {\nu}Ael cross section with an elec
Externí odkaz:
http://arxiv.org/abs/2411.18812
Autor:
Ghosal, Soumya Suvra, Chakraborty, Souradip, Singh, Vaibhav, Guan, Tianrui, Wang, Mengdi, Beirami, Ahmad, Huang, Furong, Velasquez, Alvaro, Manocha, Dinesh, Bedi, Amrit Singh
With the widespread deployment of Multimodal Large Language Models (MLLMs) for visual-reasoning tasks, improving their safety has become crucial. Recent research indicates that despite training-time safety alignment, these models remain vulnerable to
Externí odkaz:
http://arxiv.org/abs/2411.18688
Science and scientific research activities, in addition to the involvement of the researchers, require resources like research infrastructure, materials and reagents, databases and computational tools, journal subscriptions and publication charges et
Externí odkaz:
http://arxiv.org/abs/2411.15045
This paper presents a novel method for discovering systematic errors in segmentation models. For instance, a systematic error in the segmentation model can be a sufficiently large number of misclassifications from the model as a parking meter for a t
Externí odkaz:
http://arxiv.org/abs/2411.10845
Over the years, various scenarios -- such as the stability-limit conjecture (SLC), two critical point (TCP), critical point-free (CPF), and singularity-free (SF) -- have been proposed to explain the thermodynamic origin of supercooled waters anomalie
Externí odkaz:
http://arxiv.org/abs/2411.05430
Publikováno v:
Wireless Pers Commun 135, 2024
Wireless networking is encouraged by the constant enhancement of sensors' ability and wireless communication. To provide service quality support for multimedia viz. audio and video streams, the IEEE 802.11e MAC (Media Access Control) improves basic 8
Externí odkaz:
http://arxiv.org/abs/2411.05368
Autor:
Dua, Radhika, Saxena, Nikita, Agarwal, Aditi, Wilson, Alex, Singh, Gaurav, Tran, Hoang, Deshpande, Ishan, Kaur, Amandeep, Aggarwal, Gaurav, Nath, Chandan, Basu, Arnab, Batchu, Vishal, Holla, Sharath, Kurle, Bindiya, Missura, Olana, Aggarwal, Rahul, Garg, Shubhika, Shah, Nishi, Singh, Avneet, Tewari, Dinesh, Dondzik, Agata, Adsul, Bharat, Sohoni, Milind, Praveen, Asim Rama, Dangi, Aaryan, Kadivar, Lisan, Abhishek, E, Sudhansu, Niranjan, Hattekar, Kamlakar, Datar, Sameer, Chaithanya, Musty Krishna, Reddy, Anumas Ranjith, Kumar, Aashish, Tirumala, Betala Laxmi, Talekar, Alok
Agricultural landscapes are quite complex, especially in the Global South where fields are smaller, and agricultural practices are more varied. In this paper we report on our progress in digitizing the agricultural landscape (natural and man-made) in
Externí odkaz:
http://arxiv.org/abs/2411.05359
This paper explores the transformative impact of Generative AI (GenAI) on the business landscape, examining its role in reshaping traditional business models, intensifying market competition, and fostering innovation. By applying the principles of Ne
Externí odkaz:
http://arxiv.org/abs/2411.14437
Autor:
Singh, Utsav, Chakraborty, Souradip, Suttle, Wesley A., Sadler, Brian M., Sahu, Anit Kumar, Shah, Mubarak, Namboodiri, Vinay P., Bedi, Amrit Singh
This work introduces Hierarchical Preference Optimization (HPO), a novel approach to hierarchical reinforcement learning (HRL) that addresses non-stationarity and infeasible subgoal generation issues when solving complex robotic control tasks. HPO le
Externí odkaz:
http://arxiv.org/abs/2411.00361
Autor:
Chib, Pranav Singh, Singh, Pravendra
Pedestrian trajectory prediction is crucial for several applications such as robotics and self-driving vehicles. Significant progress has been made in the past decade thanks to the availability of pedestrian trajectory datasets, which enable trajecto
Externí odkaz:
http://arxiv.org/abs/2411.00174