Zobrazeno 1 - 10
of 57 830
pro vyhledávání: '"A. A. Abid"'
Publikováno v:
AIP Advances, Vol 13, Iss 10, Pp 105012-105012-11 (2023)
The Cairns-distributed electrons and positive ions in a plasma made up of a negative dust fluid are taken into account to examine the presence of arbitrary amplitude dust-acoustic solitons. It has previously been noted that nonthermal ions and therma
Externí odkaz:
https://doaj.org/article/7b3902303e4f44058bb1b892a8c35ac4
Deep learning models, in particular \textit{image} models, have recently gained generalisability and robustness. %are becoming more general and robust by the day. In this work, we propose to exploit such advances in the realm of \textit{video} classi
Externí odkaz:
http://arxiv.org/abs/2411.02065
Deep Neural Networks (DNNs) suffer from significant retraining costs when adapting to evolving requirements. Modularizing DNNs offers the promise of improving their reusability. Previous work has proposed techniques to decompose DNN models into modul
Externí odkaz:
http://arxiv.org/abs/2411.01074
Autor:
Ibrahimzada, Ali Reza, Ke, Kaiyao, Pawagi, Mrigank, Abid, Muhammad Salman, Pan, Rangeet, Sinha, Saurabh, Jabbarvand, Reyhaneh
Code translation transforms programs from one programming language (PL) to another. Several rule-based transpilers have been designed to automate code translation between different pairs of PLs. However, the rules can become obsolete as the PLs evolv
Externí odkaz:
http://arxiv.org/abs/2410.24117
Autor:
Nanini, Santino, Abid, Mariem, Mamouni, Yassir, Wiedemann, Arnaud, Jouvet, Philippe, Bourassa, Stephane
This paper presents the development of machine learning (ML) models to predict hypoxemia severity during emergency triage, especially in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) events, using physiological data from medical-
Externí odkaz:
http://arxiv.org/abs/2410.23503
We present a stochastic model for two successive SIR (Susceptible, Infectious, Recovered) epidemics in the same network structured population. Individuals infected during the first epidemic might have (partial) immunity for the second one. The first
Externí odkaz:
http://arxiv.org/abs/2410.20889
Autor:
Ali, Abid, Dai, Rui, Marisetty, Ashish, Astruc, Guillaume, Thonnat, Monique, Odobez, Jean-Marc, Thümmler, Susanne, Bremond, Francois
Publikováno v:
IEEE/CVF Winter Conference on Applications of Computer Vision 2025
The computer vision community has explored dyadic interactions for atomic actions such as pushing, carrying-object, etc. However, with the advancement in deep learning models, there is a need to explore more complex dyadic situations such as loose in
Externí odkaz:
http://arxiv.org/abs/2409.20270
Crack detection, particularly from pavement images, presents a formidable challenge in the domain of computer vision due to several inherent complexities such as intensity inhomogeneity, intricate topologies, low contrast, and noisy backgrounds. Auto
Externí odkaz:
http://arxiv.org/abs/2409.18099
The accurate first-principles description of strongly-correlated materials is an important and challenging problem in condensed matter physics. Ab initio downfolding has emerged as a way of deriving accurate many-body Hamiltonians including strong co
Externí odkaz:
http://arxiv.org/abs/2409.12237
Accurate prediction of house price, a vital aspect of the residential real estate sector, is of substantial interest for a wide range of stakeholders. However, predicting house prices is a complex task due to the significant variability influenced by
Externí odkaz:
http://arxiv.org/abs/2409.05335