Zobrazeno 1 - 10
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pro vyhledávání: '"A. Sadi"'
As the field of artificial intelligence progresses, assistive technologies are becoming more widely used across all industries. The healthcare industry is no different, with numerous studies being done to develop assistive tools for healthcare profes
Externí odkaz:
http://arxiv.org/abs/2408.15827
Autor:
van Dreven, Jonne, Cheddad, Abbas, Alawadi, Sadi, Ghazi, Ahmad Nauman, Koussa, Jad Al, Vanhoudt, Dirk
District Heating (DH) systems are essential for energy-efficient urban heating. However, despite the advancements in automated fault detection and diagnosis (FDD), DH still faces challenges in operational faults that impact efficiency. This study int
Externí odkaz:
http://arxiv.org/abs/2408.14499
Autor:
Mishty, Kaniz, Sadi, Mehdi
Modern Artificial Intelligence (AI) workloads demand computing systems with large silicon area to sustain throughput and competitive performance. However, prohibitive manufacturing costs and yield limitations at advanced tech nodes and die-size reach
Externí odkaz:
http://arxiv.org/abs/2406.00858
Autor:
Shubha, Syed Emad Uddin, Islam, Mir Muzahedul, Sadi, Tanvir Ahahmed, Miraz, Md. Hasibul Hasan, Mahdy, M. R. C.
Quantum image processing is a research field that explores the use of quantum computing and algorithms for image processing tasks such as image encoding and edge detection. Although classical edge detection algorithms perform reasonably well and are
Externí odkaz:
http://arxiv.org/abs/2404.06889
Nanoporous gold (np-Au) has found use in applications ranging from catalysis to biosensing where pore morphology plays a critical role in performance. While morphology evolution of bulk np-Au has been widely studied, knowledge about its thin film for
Externí odkaz:
http://arxiv.org/abs/2402.11694
As spiking neural networks receive more attention, we look toward applications of this computing paradigm in fields other than computer vision and signal processing. One major field, underexplored in the neuromorphic setting, is Natural Language Proc
Externí odkaz:
http://arxiv.org/abs/2401.17911
Autor:
Seyama-Mokhaneli, Sadi
Publikováno v:
Equality, Diversity and Inclusion: An International Journal, 2024, Vol. 43, Issue 9, pp. 71-87.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EDI-01-2023-0033
Autor:
Ali, Ratul, Islam, Aktarul, Rana, Md. Shohel, Nasrin, Saila, Shajol, Sohel Afzal, Sadi, A. H. M. Saifullah
Acoustic data serves as a fundamental cornerstone in advancing scientific and engineering understanding across diverse disciplines, spanning biology, communications, and ocean and Earth science. This inquiry meticulously explores recent advancements
Externí odkaz:
http://arxiv.org/abs/2402.10005
Autor:
Ramirez, Sadi, Icaza-Lizaola, Miguel, Fromenteau, Sebastien, Vargas-Magaña, Mariana, Aviles, Alejandro
Recently, a new wave of full modeling analyses have emerged within the Large-Scale Structure community, leading mostly to tighter constraints on the estimation of cosmological parameters, when compared with standard approaches used over the last deca
Externí odkaz:
http://arxiv.org/abs/2310.17834
This paper investigates the issue of privacy in a learning scenario where users share knowledge for a recommendation task. Our study contributes to the growing body of research on privacy-preserving machine learning and underscores the need for tailo
Externí odkaz:
http://arxiv.org/abs/2310.00221