Zobrazeno 1 - 10
of 324 058
pro vyhledávání: '"Abbas, A. A."'
This study utilizes mathematical modeling to offer computational insights into biological heat transfer within elastic skin tissues. This heat transfer is driven by a moving heat source that relies on various relaxation times. Time delay parameters w
Externí odkaz:
http://arxiv.org/abs/2410.00915
Physical insight into plasma evolution in the magnetohydrodynamic (MHD) limit can be revealed by decomposing the evolution according to the characteristic modes of the system. In this paper we explore aspects of the eigenenergy decomposition method (
Externí odkaz:
http://arxiv.org/abs/2410.05676
Autor:
Scott, Stacey D., Abbas, Zayn J., Ellid, Feerass, Dykhne, Eli-Henry, Islam, Muhammad Muhaiminul, Ayad, Weam, Kacmorova, Kristina, Tulpan, Dan, Gong, Minglun
Precision livestock farming (PLF) aims to improve the health and welfare of livestock animals and farming outcomes through the use of advanced technologies. Computer vision, combined with recent advances in machine learning and deep learning artifici
Externí odkaz:
http://arxiv.org/abs/2410.05041
Autor:
Abdolmaleki, Abbas, Piot, Bilal, Shahriari, Bobak, Springenberg, Jost Tobias, Hertweck, Tim, Joshi, Rishabh, Oh, Junhyuk, Bloesch, Michael, Lampe, Thomas, Heess, Nicolas, Buchli, Jonas, Riedmiller, Martin
Existing preference optimization methods are mainly designed for directly learning from human feedback with the assumption that paired examples (preferred vs. dis-preferred) are available. In contrast, we propose a method that can leverage unpaired p
Externí odkaz:
http://arxiv.org/abs/2410.04166
We present a new simulator of Uncrewed Aerial Vehicles (UAVs) that is tailored to the needs of testing cyber-physical security attacks and defenses. Recent investigations into UAV safety have unveiled various attack surfaces and some defense mechanis
Externí odkaz:
http://arxiv.org/abs/2410.03971
We consider a cell-free massive multiple-input multiple-output (CF-mMIMO) system with joint unicast and multi-group multicast transmissions. We derive exact closed-form expressions for the downlink achievable spectral efficiency (SE) of both unicast
Externí odkaz:
http://arxiv.org/abs/2410.03506
This paper addresses the challenge of classifying and assigning programming tasks to experts, a process that typically requires significant effort, time, and cost. To tackle this issue, a novel dataset containing a total of 4,112 programming tasks wa
Externí odkaz:
http://arxiv.org/abs/2409.20189
Autor:
Li, En-Kun, Liu, Shuai, Torres-Orjuela, Alejandro, Chen, Xian, Inayoshi, Kohei, Wang, Long, Hu, Yi-Ming, Amaro-Seoane, Pau, Askar, Abbas, Bambi, Cosimo, Capelo, Pedro R., Chen, Hong-Yu, Chua, Alvin J. K., Condés-Breña, Enrique, Dai, Lixin, Das, Debtroy, Derdzinski, Andrea, Fan, Hui-Min, Fujii, Michiko, Gao, Jie, Garg, Mudit, Ge, Hongwei, Giersz, Mirek, Huang, Shun-Jia, Hypki, Arkadiusz, Liang, Zheng-Cheng, Liu, Bin, Liu, Dongdong, Liu, Miaoxin, Liu, Yunqi, Mayer, Lucio, Napolitano, Nicola R., Peng, Peng, Shao, Yong, Shashank, Swarnim, Shen, Rongfeng, Tagawa, Hiromichi, Tanikawa, Ataru, Toscani, Martina, Vázquez-Aceves, Verónica, Wang, Hai-Tian, Yi, Shu-Xu, Zhang, Jian-dong, Zhang, Xue-Ting, Zhu, Lianggui, Zwick, Lorenz, Huang, Song, Mei, Jianwei, Wang, Yan, Xie, Yi, Zhang, Jiajun, Luo, Jun
The opening of the gravitational wave window has significantly enhanced our capacity to explore the universe's most extreme and dynamic sector. In the mHz frequency range, a diverse range of compact objects, from the most massive black holes at the f
Externí odkaz:
http://arxiv.org/abs/2409.19665
Since the discovery of wireless telegraphy, wireless communication via electromagnetic (EM) signals has become a standard solution to meet the growing demand for information transfer in modern society. To prevent counterfeiting and manipulation by un
Externí odkaz:
http://arxiv.org/abs/2409.15966
Autor:
Lau, Kin Wai, Rehman, Yasar Abbas Ur, de Gusmão, Pedro Porto Buarque, Po, Lai-Man, Ma, Lan, Xie, Yuyang
Federated Learning (FL) has emerged as a privacy-preserving method for training machine learning models in a distributed manner on edge devices. However, on-device models face inherent computational power and memory limitations, potentially resulting
Externí odkaz:
http://arxiv.org/abs/2409.15898