Zobrazeno 1 - 10
of 18 910
pro vyhledávání: '"Sidi, A."'
Autor:
Chen, Dairong, Wyporek, Augustin Couton, Chailloleau, Pierre, Valli, Ahmed Sidi El, Morone, Flaviano, Mangin, Stephane, Sun, Jonathan Z., Sels, Dries, Kent, Andrew D.
Magnetic Tunnel Junctions (MTJs) are of great interest for non-conventional computing applications. The Toffoli gate is a universal reversible logic gate, enabling the construction of arbitrary boolean circuits. Here, we present a proof-of-concept co
Externí odkaz:
http://arxiv.org/abs/2411.00203
Historical maps provide valuable information and knowledge about the past. However, as they often feature non-standard projections, hand-drawn styles, and artistic elements, it is challenging for non-experts to identify and interpret them. While exis
Externí odkaz:
http://arxiv.org/abs/2410.15780
Maps are broadly relevant across various fields, serving as valuable tools for presenting spatial phenomena and communicating spatial knowledge. However, map-making is still largely confined to those with expertise in GIS and cartography due to the s
Externí odkaz:
http://arxiv.org/abs/2410.15770
Autor:
Wu, Sidi
Physics-Informed Neural Networks (PINNs) have emerged as powerful tools for solving partial differential equations (PDEs). However, training PINNs from scratch is often computationally intensive and time-consuming. To address this problem, we propose
Externí odkaz:
http://arxiv.org/abs/2410.14134
The Keyword Spotting (KWS) task involves continuous audio stream monitoring to detect predefined words, requiring low energy devices for continuous processing. Neuromorphic devices effectively address this energy challenge. However, the general neuro
Externí odkaz:
http://arxiv.org/abs/2408.05156
Smart contracts, self-executing programs on the blockchain, facilitate reliable value exchanges without centralized oversight. Despite the recent focus on dynamic analysis of their transaction histories in both industry and academia, no open-source t
Externí odkaz:
http://arxiv.org/abs/2407.10039
Autor:
Ji, Yatai, Zhang, Shilong, Wu, Jie, Sun, Peize, Chen, Weifeng, Xiao, Xuefeng, Yang, Sidi, Yang, Yujiu, Luo, Ping
The rapid advancement of Large Vision-Language models (LVLMs) has demonstrated a spectrum of emergent capabilities. Nevertheless, current models only focus on the visual content of a single scenario, while their ability to associate instances across
Externí odkaz:
http://arxiv.org/abs/2407.07577
Autor:
Deng, Xun, Zhong, Sicheng, Dong, Honghua, Hu, Jingyu, Beillahi, Sidi Mohamed, Si, Xujie, Long, Fan
Intermediate step methodologies like chain of thoughts (COT) have demonstrated effectiveness in enhancing the performance of Large Language Models (LLMs) on code generation. This study explores the utilization of intermediate languages, including var
Externí odkaz:
http://arxiv.org/abs/2407.05411
Autor:
korba, Abdelaziz Amara, Boualouache, Abdelwahab, Brik, Bouziane, Rahal, Rabah, Ghamri-Doudane, Yacine, Senouci, Sidi Mohammed
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks (5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this context, a wide range of advanced machine/deep learning based solutions have
Externí odkaz:
http://arxiv.org/abs/2407.03070
This article conducts an in-depth investigation of a new spatio-temporal model for the cocaine-heroin epidemiological model with vital dynamics, incorporating the Laplacian operator. The study rigorously establishes the existence, uniqueness, non-neg
Externí odkaz:
http://arxiv.org/abs/2405.15532