Zobrazeno 1 - 10
of 267 961
pro vyhledávání: '"P, Patel'"'
Autor:
Dolui, Suman, Singh, Kaushlender, Hegde, Bharat, Macwan, T., Hoque, SK Injamul, Nagora, Umesh, A., Jaya Kumar, Purohit, S., Adhiya, A. N., Jadeja, K. A., Raj, Harshita, Kumar, Ankit, Kumawat, Ashok K., Aich, Suman, Kumar, Rohit, Patel, K. M., Gautam, P., Patel, Sharvil, Yadava, N., Ramaiya, N., Gupta, M. K., Pathak, S. K., Chowdhuri, M. B., Sharma, S., Kuley, A., Tanna, R. L., Chattopadhyay, P. K., Sen, A., Saxena, Y. C., Pal, R., Ghosh, Joydeep
Experiments on ADITYA-U tokamak show a marked enhancement in the sawtooth period by application of short gas puffs of fuel that cause a modification of the radial density profile. A consequent suppression of the trapped electron modes (TEMs) then lea
Externí odkaz:
http://arxiv.org/abs/2501.01871
Autor:
Alizadeh, Javad M, Patel, Jay S, Tajeu, Gabriel, Chen, Yuzhou, Hollin, Ilene L, Patel, Mukesh K, Fei, Junchao, Wu, Huanmei
Over 30 million Americans are affected by Type II diabetes (T2D), a treatable condition with significant health risks. This study aims to develop and validate predictive models using machine learning (ML) techniques to estimate emergency department (
Externí odkaz:
http://arxiv.org/abs/2412.08984
Autor:
Lewington, Aiden, Vittalam, Alekhya, Singh, Anshumaan, Uppuluri, Anuja, Ashok, Arjun, Athmaram, Ashrith Mandayam, Milt, Austin, Smith, Benjamin, Weinberger, Charlie, Sarin, Chatanya, Bergmeir, Christoph, Chang, Cliff, Patel, Daivik, Li, Daniel, Bell, David, Cao, Defu, Shin, Donghwa, Kang, Edward, Zhang, Edwin, Li, Enhui, Chen, Felix, Smithline, Gabe, Chen, Haipeng, Gasztowtt, Henry, Shin, Hoon, Zhang, Jiayun, Gray, Joshua, Low, Khai Hern, Patel, Kishan, Cooke, Lauren Hannah, Burstein, Marco, Kalapatapu, Maya, Mittal, Mitali, Chen, Raymond, Zhao, Rosie, Majid, Sameen, Potlapalli, Samya, Wang, Shang, Patel, Shrenik, Li, Shuheng, Komaragiri, Siva, Lu, Song, Siangjaeo, Sorawit, Jung, Sunghoo, Zhang, Tianyu, Mao, Valery, Krishnakumar, Vikram, Zhu, Vincent, Kam, Wesley, Li, Xingzhe, Liu, Yumeng
Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Current incentive structures and regulatory delays may hinder responsible A
Externí odkaz:
http://arxiv.org/abs/2412.06936
Large-scale shell-model calculations are performed for the $9/2^+_{\rm g.s.}$, $1/2^-_1$, $3/2^-_1$, and $5/2^-_1$ states in the odd-$A$ indium isotopes with $N=50-82$. The calculated energy levels, electromagnetic moments, and spectroscopic factors
Externí odkaz:
http://arxiv.org/abs/2501.01659
Autor:
Turiansky, Mark E., Mu, Sai, Razinkovas, Lukas, Parto, Kamyar, Patel, Sahil D., Doan, Sean, Pokharel, Ganesh, Alvarado, Steven J. Gomez, Wilson, Stephen D., Moody, Galan, Van de Walle, Chris G.
Chromium is a common transition-metal impurity that is easily incorporated during crystal growth. It is perhaps best known for giving rise to the 694.3 nm (1.786 eV) emission in Cr-doped Al$_2$O$_3$, exploited in ruby lasers. Chromium has also been f
Externí odkaz:
http://arxiv.org/abs/2501.00561
Autor:
Agarwal, Amit, Panda, Srikant, Charles, Angeline, Kumar, Bhargava, Patel, Hitesh, Pattnayak, Priyaranjan, Rafi, Taki Hasan, Kumar, Tejaswini, Chae, Dong-Kyu
Recent advancements in Vision-Language Models (VLMs) have enabled significant progress in complex video understanding tasks. However, their robustness to real-world manipulations remains underexplored, limiting their reliability in critical applicati
Externí odkaz:
http://arxiv.org/abs/2412.19794
Autor:
Arroyo, J., Garg, U., Akimune, H., Berg, G. P. A., Cuong, D. C., Fujiwara, M., Harakeh, M. N., Itoh, M., Kawabata, T., Kawase, K., Matta, J. T., Patel, D., Uchida, M., Yosoi, M.
The incompressibility of infinite nuclear matter (K_\infty) is a parameter in the description of the nuclear equation of state that governs the energy cost associated with density oscillations near the saturation density. The most direct experimental
Externí odkaz:
http://arxiv.org/abs/2412.18658
Autor:
Patel, Niket, Montúfar, Guido
We define the local complexity of a neural network with continuous piecewise linear activations as a measure of the density of linear regions over an input data distribution. We show theoretically that ReLU networks that learn low-dimensional feature
Externí odkaz:
http://arxiv.org/abs/2412.18283
Autor:
Pattnayak, Priyaranjan, Patel, Hitesh Laxmichand, Kumar, Bhargava, Agarwal, Amit, Banerjee, Ishan, Panda, Srikant, Kumar, Tejaswini
Multimodal learning, a rapidly evolving field in artificial intelligence, seeks to construct more versatile and robust systems by integrating and analyzing diverse types of data, including text, images, audio, and video. Inspired by the human ability
Externí odkaz:
http://arxiv.org/abs/2412.17759
Autor:
Patel, Maya, Anand, Aditi
Benchmarking modern large language models (LLMs) on complex and realistic tasks is critical to advancing their development. In this work, we evaluate the factual accuracy and citation performance of state-of-the-art LLMs on the task of Question Answe
Externí odkaz:
http://arxiv.org/abs/2412.18051