Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Chibani, Abdelghani"'
Internet of Things (IoT) devices generate heterogeneous data over time; and relying solely on individual data points is inadequate for accurate analysis. Segmentation is a common preprocessing step in many IoT applications, including IoT-based activi
Externí odkaz:
http://arxiv.org/abs/2404.11742
Medical image segmentation plays a vital role in various clinical applications, enabling accurate delineation and analysis of anatomical structures or pathological regions. Traditional CNNs have achieved remarkable success in this field. However, the
Externí odkaz:
http://arxiv.org/abs/2404.11361
Manual segmentation of medical images (e.g., segmenting tumors in CT scans) is a high-effort task that can be accelerated with machine learning techniques. However, selecting the right segmentation approach depends on the evaluation function, particu
Externí odkaz:
http://arxiv.org/abs/2302.04135
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which should be sufficiently labeled. Though, data acquisition
Externí odkaz:
http://arxiv.org/abs/2012.03682
Publikováno v:
In Information Sciences June 2023 631:468-486
Endowing the robotic systems with cognitive capabilities for recognizing daily activities of humans is an important challenge, which requires sophisticated and novel approaches. Most of the proposed approaches explore pattern recognition techniques w
Externí odkaz:
http://arxiv.org/abs/1809.07624
Publikováno v:
In Neurocomputing 21 August 2022 500:649-661
Autor:
Kordestani, Hossain, Mojarad, Roghayeh, Chibani, Abdelghani, Barkaoui, Kamel, Amirat, Yacine, Zahran, Wagdy
Publikováno v:
In Expert Systems With Applications 30 December 2021 186
Publikováno v:
Theory and Practice of Logic Programming 16 (2016) 325-352
Action languages have emerged as an important field of Knowledge Representation for reasoning about change and causality in dynamic domains. This article presents Cerbere, a production system designed to perform online causal, temporal and epistemic
Externí odkaz:
http://arxiv.org/abs/1512.04358
Publikováno v:
Thèse en texte intégral accessible depuis l'Intranet de Paris 12
Thèse de doctorat : Informatique. Intelligence artificielle : Paris 12 : 2006.
Thèse uniquement consultable au sein de l'Université Paris 12 (Intranet). Titre provenant de l'écran-titre. Bibliogr. : 154 réf.
Thèse uniquement consultable au sein de l'Université Paris 12 (Intranet). Titre provenant de l'écran-titre. Bibliogr. : 154 réf.