Zobrazeno 1 - 10
of 5 095
pro vyhledávání: '"Swetha, P"'
The evolving threat landscape in cybersecurity necessitates the adoption of advanced tools for effective vulnerability management. This paper presents a comprehensive comparative analysis of three widely used tools: Nessus, Acunetix, and Nikto. Each
Externí odkaz:
http://arxiv.org/abs/2411.19123
Multi-modal Large Language Models (MLLMs) are gaining significant attention for their ability to process multi-modal data, providing enhanced contextual understanding of complex problems. MLLMs have demonstrated exceptional capabilities in tasks such
Externí odkaz:
http://arxiv.org/abs/2412.00102
The integration of Distributed Energy Resources (DERs) into power distribution systems has made microgrids foundational to grid modernization. These DERs, connected through power electronic inverters, create power electronics dominated grid architect
Externí odkaz:
http://arxiv.org/abs/2411.08761
Autor:
Sankar, Swetha, Zakamska, Nadia L., Rupke, David S. N., Liu, Weizhe, Wylezalek, Dominika, Veilleux, Sylvain, Bertemes, Caroline, Diachenko, Nadiia, Chen, Yu-Ching, Ishikawa, Yuzo, Vayner, Andrey, Nesvadba, Nicole P. H., Liu, Guilin, Goulding, Andy D., Lutz, Dieter
Red quasars, often associated with potent [OIII] outflows on both galactic and circumgalactic scales, may play a pivotal role in galactic evolution and black hole feedback. In this work, we explore the [FeII] emission in one such quasar at redshift z
Externí odkaz:
http://arxiv.org/abs/2410.22470
Autor:
Liu, Weizhe, Veilleux, Sylvain, Sankar, Swetha, Rupke, David S. N., Zakamska, Nadia L., Wylezalek, Dominika, Vayner, Andrey, Bertemes, Caroline, Chen, Yu-Ching, Ishikawa, Yuzo, Greene, Jenny E., Heckman, Timothy, Liu, Guilin, Chen, Hsiao-Wen, Lutz, Dieter, Johnson, Sean D., Nesvadba, Nicole P. H., Ogle, Patrick, Diachenko, Nadiia, Goulding, Andy D., Hainline, Kevin N., Hamann, Fred, Lim, Hui Xian Grace, Lützgendorf, Nora, Mainieri, Vincenzo, McCrory, Ryan, Murphree, Grey, Sturm, Eckhard, Whitesell, Lillian
Quasar feedback may play a key role in the evolution of massive galaxies. The dust-reddened quasar, F2M110648.35$+$480712 at $z = 0.4352$ is one of the few cases at its redshift that exhibits powerful quasar feedback through bipolar outflows. Our new
Externí odkaz:
http://arxiv.org/abs/2410.14291
Autor:
Veeramreddy, Madhumita, Pradhan, Ashok Kumar, Ghanta, Swetha, Rachakonda, Laavanya, Mohanty, Saraju P
Maintaining health and fitness through a balanced diet is essential for preventing non communicable diseases such as heart disease, diabetes, and cancer. NutriVision combines smart healthcare with computer vision and machine learning to address the c
Externí odkaz:
http://arxiv.org/abs/2409.20508
Building generalist robotic systems involves effectively endowing robots with the capabilities to handle novel objects in an open-world setting. Inspired by the advances of large pre-trained models, we propose Keypoint Affordance Learning from Imagin
Externí odkaz:
http://arxiv.org/abs/2409.14066
Autor:
Crescimbeni, Francesco, Forteza, Xisco Jimenez, Bhagwat, Swetha, Westerweck, Julian, Pani, Paolo
In any extension of General Relativity (GR), extra fundamental degrees of freedom couple to gravity. Besides deforming GR forecasts in a theory-dependent way, this coupling generically introduces extra modes in the gravitational-wave signal. We propo
Externí odkaz:
http://arxiv.org/abs/2408.08956
Publikováno v:
Phys. Rev. D 110, 103037 (2024)
The remnant black hole from a binary coalescence emits ringdown gravitational waves characterized by quasinormal modes, which depend solely on the remnant's mass and spin. In contrast, the ringdown amplitudes and phases are determined by the properti
Externí odkaz:
http://arxiv.org/abs/2408.05276
Order-Optimal Global Convergence for Average Reward Reinforcement Learning via Actor-Critic Approach
This work analyzes average-reward reinforcement learning with general parametrization. Current state-of-the-art (SOTA) guarantees for this problem are either suboptimal or demand prior knowledge of the mixing time of the underlying Markov process, wh
Externí odkaz:
http://arxiv.org/abs/2407.18878