Publications

Affichage de 701 à 710 sur 5525

COMM

An educational decision support system: case of learners clustering

Yosra Mourali, Ramzi Farhat, Maroi Agrebi, Mohamed Jemni, Christophe Kolski, Houcine Ezzedine

The proliferation of the Technology Enhanced Learning Environments (TELE) and the growth of educative data are increasingly motivating researchers to study the potential of new approaches in Artificial Intelligence (AI) applied to the e-learning area. In this paper, we propose a software…

The 8th International conference on ICT & Accessibility, IEEE, Dec 2021, Tunis, Tunisia. ⟨10.1109/ICTA54582.2021.9809425⟩. ⟨hal-03528711⟩

COMM

A Review on the Prediction of Energy Consumption in the Industry Sector Based on Machine Learning Approaches

Mouad Bahij, Moussa Labbadi, Mohamed Cherkaoui, Chakib Chatri, Ali Elkhatiri, Achraf Elouerghi

Energy efficiency in industry provides some promising solutions for industrial decarbonization and reduction of negative environ-mental impacts. Nowadays, the digitalization of the industry offers an intelligent industrial work network, which allows the use of learning algorithms for the prediction…

4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), Dec 2021, Alkhobar, Saudi Arabia. pp.01-05, ⟨10.1109/ISAECT53699.2021.9668559⟩. ⟨hal-03710975⟩

ART

Securing Workflows Using Microservices and Metagraphs

Loïc Miller, Pascal Mérindol, Antoine Gallais, Cristel Pelsser

Companies such as Netflix increasingly use the cloud to deploy their business processes. Those processes often involve partnerships with other companies, and can be modeled as workflows where the owner of the data at risk interacts with contractors to realize a sequence of tasks on the data to be…

Electronics, 2021, 10 (24), pp.3087. ⟨10.3390/electronics10243087⟩. ⟨hal-03709704⟩

ART

Frontal sinus as an identity and sex indicator, Le sinus frontal comme indicateur d’identité et de sexe

Patricia Shirley de Almeida Prado, K Adams, L.C. Fernandes, Elena Kranioti

The present study explores the variability of frontal sinuses volume in modern Greeks and their potential use in the forensic identification process. Methods The sample consisted of 102 CT scan images from a modern Greek population. 50 (49%) were male and 52 (51%) were female. Ages ranged from 19…, La présente étude explore la variabilité du volume des sinus frontaux sur les crânes modernes Grecs et leur utilisation potentielle dans le processus d’identification médico-légale. Méthodes L’échantillon était composé de 102 images CT scan provenant d’une population grecque moderne. 50 (49%)…

Morphologie, 2021, 105 (351), pp.281-287. ⟨10.1016/j.morpho.2020.12.005⟩. ⟨hal-03463932⟩

ART

The role of the vagus nerve in fibromyalgia syndrome

Daniel Fernandes Martins, Frédéric Viseux, Daiana Cristina Salm, Anny Caroline Avelino Ribeiro, Helen Kassiana Lopes da Silva, Lynsey A Seim, Edsel Balduino Bittencourt, Gianluca Bianco, Ari Ojeda Ocampo Moré, William R. Reed, Leidiane Mazzardo-Martins

Fibromyalgia (FM) syndrome is a common illness characterized by chronic widespread pain, sleep problems, fatigue, and cognitive difficulties. Dysfunctional neurotransmitter systems that influence the body's endogenous stress response systems are thought to underlie many of the major FM-related…

Neuroscience and Biobehavioral Reviews, 2021, 131, pp.1136-1149. ⟨10.1016/j.neubiorev.2021.10.021⟩. ⟨hal-03709778⟩

ART

Study of circular Couette flow, Taylor vortex and wavy vortex regimes in Couette–Taylor flows with transient periodic oscillation of the inner cylinder—a computational fluid dynamics analysis

Shima Mahmoudirad, Ebrahim Shirani, Fethi Aloui

In this study, the structure of the fluid flow and vortices are investigated for the circular Couette flow, Taylor vortex and wavy vortex regimes by changing the Womersley number and periods of oscillations of the inner cylinder rotation. The rotational velocity of the inner cylinder, ω, increases…

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021, 43 (12), pp.559. ⟨10.1007/s40430-021-03265-1⟩. ⟨hal-03534076⟩

ART

Heuristic-based method for conflict discovery of shared control between humans and autonomous systems - A driving automation case study

Frédéric Vanderhaegen

The paper proposes a heuristic-based prospective method to discover possible conflicts of shared control between humans and autonomous systems. This method adapts the triplet Competence-Availability-Possibility-to-act (CAP) that represents the autonomy characteristics of decision-makers such as…

Robotics and Autonomous Systems, 2021, 146, pp.103867. ⟨10.1016/j.robot.2021.103867⟩. ⟨hal-03426485⟩

ART

Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges

Panshuo Li, Anh-Tu Nguyen, Haiping Du, Yan Wang, Hui Zhang

With more and more stringent requirements on driving comfort, safety and fuel economy, polytopic LPV approaches have become popular in intelligent automotive control systems due to their merits in dealing with the complex nonlinearities. This survey starts with a review on control theory of…

Mechanical Systems and Signal Processing, 2021, 161, pp.107931. ⟨10.1016/j.ymssp.2021.107931⟩. ⟨hal-03709811⟩

ART

Efficient flow models for the uncapacitated multiple allocation p-hub median problem on non-triangular networks

Jack Brimberg, Raca Todosijević, Dragan Urošević, Nenad Mladenovic

This paper examines the uncapacitated multiple allocation p-hub median problem (UMApHMP) in a general setting where a given network may violate the triangle inequality, thus leading to flow paths with more than two hubs connecting origin-to-destination pairs. We present two improved flow…

Computers & Industrial Engineering, 2021, 162, pp.107723. ⟨10.1016/j.cie.2021.107723⟩. ⟨hal-03528030⟩

ART

Multi-label, multi-task CNN approach for context-based emotion recognition

Ilyes Bendjoudi, Frédéric Vanderhaegen, Denis Hamad, Fadi Dornaika

This paper proposes a new deep learning architecture for context-based multi-label multi-task emotion recognition. The architecture is built from three main modules: (1) a body features extraction module, which is a pre-trained Xception network, (2) a scene features extraction module, based on a…

Information Fusion, 2021, 76, pp.422-428. ⟨10.1016/j.inffus.2020.11.007⟩. ⟨hal-03106102⟩