Zobrazeno 1 - 10
of 78 643
pro vyhledávání: '"P, Srivastava"'
Autor:
Davalos, Eduardo, Salas, Jorge Alberto, Zhang, Yike, Srivastava, Namrata, Thatigotla, Yashvitha, Gonzales, Abbey, McFadden, Sara, Cho, Sun-Joo, Biswas, Gautam, Goodwin, Amanda
Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models to recognize reading behaviors, they often rely on instructed reading
Externí odkaz:
http://arxiv.org/abs/2501.18468
In this paper, we investigate the complexity of computing the minimal faithful permutation degree for groups without abelian normal subgroups. When our groups are given as quotients of permutation groups, we establish that this problem is in $\textsf
Externí odkaz:
http://arxiv.org/abs/2501.16039
Autor:
Mazhar, Abdullah, shaik, Zuhair hasan, Srivastava, Aseem, Ruhnke, Polly, Vaddavalli, Lavanya, Katragadda, Sri Keshav, Yadav, Shweta, Akhtar, Md Shad
The expression of mental health symptoms through non-traditional means, such as memes, has gained remarkable attention over the past few years, with users often highlighting their mental health struggles through figurative intricacies within memes. W
Externí odkaz:
http://arxiv.org/abs/2501.15321
Autor:
Bhaskar, Uday, Srivastava, Varul, Vummintala, Avyukta Manjunatha, Manwani, Naresh, Gujar, Sujit
Federated Learning (FL) emerged as a learning method to enable the server to train models over data distributed among various clients. These clients are protective about their data being leaked to the server, any other client, or an external adversar
Externí odkaz:
http://arxiv.org/abs/2501.14453
Autor:
Baris, Ozan, Chen, Yizhuo, Dong, Gaofeng, Han, Liying, Kimura, Tomoyoshi, Quan, Pengrui, Wang, Ruijie, Wang, Tianchen, Abdelzaher, Tarek, Bergés, Mario, Liang, Paul Pu, Srivastava, Mani
Methods from machine learning (ML) have transformed the implementation of Perception-Cognition-Communication-Action loops in Cyber-Physical Systems (CPS) and the Internet of Things (IoT), replacing mechanistic and basic statistical models with those
Externí odkaz:
http://arxiv.org/abs/2501.16368
We investigate an extension of the Type-III scotogenic model by incorporating a real singlet scalar. This scalar plays a crucial role as the inflaton due to its non-minimal coupling with the Ricci scalar. The inflaton field subsequently decays into o
Externí odkaz:
http://arxiv.org/abs/2501.13171
We propose a KSVZ-type axion framework in which vector-like quarks (VLQ) and colored scalars generate Dirac neutrino masses radiatively. The global Peccei-Quinn symmetry (under which the exotic fermions are charged) addresses the strong CP problem an
Externí odkaz:
http://arxiv.org/abs/2501.13156
We study networks of gossiping users where a source observing a process sends updates to an underlying graph. Nodes in the graph update their neighbors randomly and nodes always accept packets that have newer information, thus attempting to minimize
Externí odkaz:
http://arxiv.org/abs/2501.13086
We explore the potential of the European Spallation Source (ESS) in probing physics within and beyond the Standard Model (SM), based on future measurements of coherent elastic neutrino-nucleus scattering (CE$\nu$NS). We consider two SM physics cases,
Externí odkaz:
http://arxiv.org/abs/2501.12443
We explore the potential of reactor neutrino-induced Coherent Elastic Neutrino-Nucleus Scattering (CE$\nu$NS) data from the CONUS+ experiment to investigate both Standard Model (SM) and Beyond Standard Model (BSM) scenarios. Alongside CE$\nu$NS, elas
Externí odkaz:
http://arxiv.org/abs/2501.12441