Zobrazeno 1 - 10
of 49 171
pro vyhledávání: '"On, Thai"'
Autor:
Eyiokur, Fevziye Irem, Huber, Christian, Nguyen, Thai-Binh, Nguyen, Tuan-Nam, Retkowski, Fabian, Ugan, Enes Yavuz, Yaman, Dogucan, Waibel, Alexander
In this paper, we report on communication experiments conducted in the summer of 2022 during a deep dive to the wreck of the Titanic. Radio transmission is not possible in deep sea water, and communication links rely on sonar signals. Due to the low
Externí odkaz:
http://arxiv.org/abs/2410.11434
We show that a two variable Nevanlinna representation for rational Pick functions can be viewed as the Cauchy transform of a simple undirected graph with variables assigned to the vertices. We give relations between representing functions of certain
Externí odkaz:
http://arxiv.org/abs/2410.10695
Motivated by the optimality principles for non-subdifferentiable optimization problems, we introduce new relative subdifferentials and examine some properties for relatively lower semicontinuous functions including $\epsilon$-regular subdifferential
Externí odkaz:
http://arxiv.org/abs/2410.10065
Autor:
Thai, H. D., Tuan, H. T.
This paper systematically treats the asymptotic behavior of many (linear/nonlinear) classes of higher-order fractional differential equations with multiple terms. To do this, we utilize the characteristics of Caputo fractional differentiable function
Externí odkaz:
http://arxiv.org/abs/2410.09369
Autor:
Nguyen, Thai-Son, Pieczulewsi, Naomi, Savant, Chandrashekhar, Cooper, Joshua J. P., Casamento, Joseph, Goldman, Rachel S., Muller, David A., Xing, Huili G., Jena, Debdeep
AlScN is a new wide bandgap, high-k, ferroelectric material for RF, memory, and power applications. Successful integration of high quality AlScN with GaN in epitaxial layer stacks depends strongly on the ability to control lattice parameters and surf
Externí odkaz:
http://arxiv.org/abs/2410.09153
Autor:
Zhao, Ranchi, Thai, Zhen Leng, Zhang, Yifan, Hu, Shengding, Ba, Yunqi, Zhou, Jie, Cai, Jie, Liu, Zhiyuan, Sun, Maosong
Publikováno v:
EMNLP 2024
The performance of Large Language Models (LLMs) is substantially influenced by the pretraining corpus, which consists of vast quantities of unsupervised data processed by the models. Despite its critical role in model performance, ensuring the qualit
Externí odkaz:
http://arxiv.org/abs/2410.05639
Autor:
Michels, James, Bandarupalli, Ramya, Akbari, Amin Ahangar, Le, Thai, Xiao, Hong, Li, Jing, Hom, Erik F. Y.
Recent advances in Natural Language Processing (NLP) have ignited interest in developing effective methods for predicting protein-ligand interactions (PLIs) given their relevance to drug discovery and protein engineering efforts and the ever-growing
Externí odkaz:
http://arxiv.org/abs/2409.13057
We completely determine the asymptotic depth, equivalently, the asymptotic projective dimension of a chain of edge ideals that is invariant under the action of the monoid Inc of increasing functions on the positive integers. Our results and their pro
Externí odkaz:
http://arxiv.org/abs/2409.06252
Autor:
Boote, Bikram, Thai, Anh, Jia, Wenqi, Kara, Ozgur, Stojanov, Stefan, Rehg, James M., Lee, Sangmin
Point tracking is a fundamental problem in computer vision with numerous applications in AR and robotics. A common failure mode in long-term point tracking occurs when the predicted point leaves the object it belongs to and lands on the background or
Externí odkaz:
http://arxiv.org/abs/2409.05786
This paper presents a novel Collaborative Cyberattack Detection (CCD) system aimed at enhancing the security of blockchain-based data-sharing networks by addressing the complex challenges associated with noise addition in federated learning models. L
Externí odkaz:
http://arxiv.org/abs/2409.04972