Zobrazeno 1 - 10
of 252
pro vyhledávání: '"Wail Gueaieb"'
Publikováno v:
IEEE Access, Vol 12, Pp 86220-86231 (2024)
Emotion recognition is one of the crucial topics in computer vision to efficiently recognize the expression of humans through faces. Recently, transformers have been recognized as a robust architecture, and many vision-based transformer models for em
Externí odkaz:
https://doaj.org/article/d85b9a3022074c1b8ab473072d25f204
Publikováno v:
IEEE Access, Vol 12, Pp 43796-43808 (2024)
The automation of surveillance systems, driven by the rapid development of computer vision technology, has significantly enhanced the analysis of surveillance videos, particularly in recognition of human activity, including behavior analysis and viol
Externí odkaz:
https://doaj.org/article/7d0755dc80344b4a92e829f5473d67f1
Real-Time Measurement-Driven Reinforcement Learning Control Approach for Uncertain Nonlinear Systems
The paper introduces an interactive machine learning mechanism to process the measurements of an uncertain, nonlinear dynamic process and hence advise an actuation strategy in real-time. For concept demonstration, a trajectory-following optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf928e1ee7b57a04ac17e7d2501bbe88
http://arxiv.org/abs/2303.08745
http://arxiv.org/abs/2303.08745
Model-reference adaptive systems refer to a consortium of techniques that guide plants to track desired reference trajectories. Approaches based on theories like Lyapunov, sliding surfaces, and backstepping are typically employed to advise adaptive c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84bf2b92ca2753c67ccdb5dead1cd924
Publikováno v:
ICRA
The flock-guidance problem enjoys a challenging structure where multiple optimization objectives are solved simultaneously. This usually necessitates different control approaches to tackle various objectives, such as guidance, collision avoidance, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::463f06f7892787287adfbd87affe09f0
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 145
We propose a Kullback–Leibler divergence (KLD) filter to extract anomalies within data series generated by a broad class of proximity sensors, along with the anomaly locations and their relative sizes. The technique applies to devices commonly used
Publikováno v:
Robotics, Vol 9, Iss 3, p 49 (2020)
Many tracking control solutions proposed in the literature rely on various forms of tracking error signals at the expense of possibly overlooking other dynamic criteria, such as optimizing the control effort, overshoot, and settling time, for example
Externí odkaz:
https://doaj.org/article/531d960b569840539fca77e2017e8a53
Publikováno v:
2022 IEEE International Smart Cities Conference (ISC2).
Publikováno v:
IEEE Instrumentation & Measurement Magazine. 24:118-126
This article elaborates on how machine learning (ML) can leverage the solution of a contemporary problem related to the security of maritime domains. The worldwide ``Illegal, Unreported, and Unregulated'' (IUU) fishing incidents have led to serious e
Publikováno v:
Robotics, Vol 8, Iss 4, p 82 (2019)
The optimal tracking problem is addressed in the robotics literature by using a variety of robust and adaptive control approaches. However, these schemes are associated with implementation limitations such as applicability in uncertain dynamical envi
Externí odkaz:
https://doaj.org/article/355cbf104f0f451a9de19380446ac3bb