Zobrazeno 1 - 10
of 868 988
pro vyhledávání: '"COMPREHENSIVE ANALYSIS"'
Pansharpening is a crucial task in remote sensing, enabling the generation of high-resolution multispectral images by fusing low-resolution multispectral data with high-resolution panchromatic images. This paper provides a comprehensive analysis of t
Externí odkaz:
http://arxiv.org/abs/2412.04896
In this study, we explore how a non-minimal coupling between dark matter and gravity can affect the behavior of dark matter in galaxy clusters. We have considered the case of a disformal coupling, which leads to a modification of the Poisson equation
Externí odkaz:
http://arxiv.org/abs/2412.19569
Autor:
Adepoju, Webster, Sanyaolu, Mary
Global demand for clean and eco-friendly energy sources has inspired decades of far-reaching research in power generation from renewable energy sources. Solar cells, wind, and tidal sources are limited in output power generation compared to the fast-
Externí odkaz:
http://arxiv.org/abs/2412.18329
Autor:
Edirimannage, Shehan, Elvitigala, Charitha, Don, Asitha Kottahachchi Kankanamge, Daluwatta, Wathsara, Wijesekara, Primal, Khalil, Ibrahim
With the wave of high-profile supply chain attacks targeting development and client organizations, supply chain security has recently become a focal point. As a result, there is an elevated discussion on securing the development environment and incre
Externí odkaz:
http://arxiv.org/abs/2411.07479
Advancements in tracking algorithms have empowered nascent applications across various domains, from steering autonomous vehicles to guiding robots to enhancing augmented reality experiences for users. However, these algorithms are application-specif
Externí odkaz:
http://arxiv.org/abs/2411.07146
Autor:
Mao, Mingxuan1 (AUTHOR) 22372318@stu.cwxu.edu.cn, Ni, Xiaoyu2,3 (AUTHOR) nixiaoyu@smartwuxi.com, Xu, Zhao4 (AUTHOR) xuzhao@cqu.edu.cn, Sun, Haojin1 (AUTHOR) 23372228@stu.cwxu.edu.cn, Yin, Chengqi1 (AUTHOR)
Publikováno v:
Energies (19961073). Dec2024, Vol. 17 Issue 23, p5958. 21p.
Large Language Models (LLMs) have demonstrated remarkable capabilities in processing long-context information. However, the quadratic complexity of attention computation with respect to sequence length poses significant computational challenges, and
Externí odkaz:
http://arxiv.org/abs/2410.09397
Autor:
Maleki, Morteza, Ghahari, SeyedAli
This study investigates the impact of significant health events on pharmaceutical stock performance, employing a comprehensive analysis incorporating macroeconomic and market indicators. Using Ordinary Least Squares (OLS) regression, we evaluate the
Externí odkaz:
http://arxiv.org/abs/2408.01883
OpenAI's advanced large language models (LLMs) have revolutionized natural language processing and enabled developers to create innovative applications. As adoption grows, understanding the experiences and challenges of developers working with these
Externí odkaz:
http://arxiv.org/abs/2408.01687