Publications

• Article dans une revue

Does the quantitative functional assessment allow to better guide the treatment of the patient with severe hip osteoarthritis?

Laura Wallard, Olivier Cornu, Jean-Emile Dubuc, Philippe Mahaudens, K. I. M’bra, Didier Postlethwaite, Maïté van Cauter, Christine Detrembleur

Computer Methods in Biomechanics and Biomedical Engineering, 2017, Société de Biomécanique Conference 2017, 20 (sup1), pp.207-208. ⟨10.1080/10255842.2017.1382935⟩. ⟨hal-03466601⟩

• Article dans une revue

Traffic impact analysis on Paris and suburbs ways using BFSIS model

Milka Uzunova, Rositsa Velichkova, Roman Potarusov, Moumen Darcherif

In current paper are presented an original approach which is deal with the analysis of the traffic flow density and the travel time as additional indicators using a new extension of the well-known breadth-first search (BFS) algorithm. The average road grade and the average legal speed on the road…

International Journal of Automation and Logistics, 2017, 3 (1), pp.17-32. ⟨10.1504/IJAL.2017.084299⟩. ⟨hal-02020542⟩

• N°spécial de revue/special issue

Numéro spécial "Sécurité des Systèmes d'Information, technologie et personnes

Pierre-Emmanuel Arduin, Káthia Marçal de Oliveira

Aujourd’hui, l’individu n’est plus un simple utilisateur du système d’information, il en est un composant à part entière. Les artefacts technologiques sont partout, l’informatique est ubiquitaire, si bien qu’une information dématérialisée est soumise à d’innombrables menaces quant à sa sécurité.…

Numéro spécial "Sécurité des Systèmes d'Information, technologie et personnes". Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 22 (1), 2017, 1633-1311. ⟨hal-03391536⟩

• Article dans une revue

An efficient hybrid approach to the remote sensing land cover classification

Ehlem Zigh, B Kouninef, Rachid Nourine, Abdelmalik Taleb-Ahmed, Mohammed Kadiri

The support vector machine (SVM) is considered as one of the powerful algorithm in machine learning, so, it is has been widely used in remote sensing land cover classification field. However, this technique suffers from its sensitivity to the parameters setting and training set. For that, we…

International Journal of Imaging and Robotics, 2017, 17 (1), pp.27-42. ⟨hal-03667415⟩

• Communication dans un congrès

Homogénéité des surfaces de pièces obtenues par Fabrication Additive

Valentin Larivière, Raphaël Deltombe, Alex Montagne, Guillaume Vansteenkiste, Maxence Bigerelle

La fabrication additive par fusion d'un lit de poudre fait partie des technologies prometteuses dans le domaine de l'impression 3D. Appliquée aux matériaux métalliques, elle se présente comme une technologie de rupture pour l'industrie. Cependant, l'état de surface des pièces…

CFM 2017 - 23ème Congrès Français de Mécanique, Aug 2017, Lille, France. ⟨hal-03465682⟩

• Article dans une revue

Sensing user context and habits for run-time energy optimization

Ismat Chaib Draa, Smail Niar, Jamel Tayeb, Emmanuelle Grislin-Le Strugeon, Mikael Desertot

Optimizing energy consumption in modern mobile handheld devices plays a very important role as lowering energy consumption impacts battery life and system reliability. With next-generation smartphones and tablets, the number of sensors and communication tools will increase and more and more…

EURASIP Journal on Embedded Systems, 2017, 2017, pp.4. ⟨10.1186/s13639-016-0036-8⟩. ⟨hal-03401216⟩

• Article dans une revue

Fast binary support vector machine learning method by samples reduction

Abdelhamid Djeffal, Chaouki Babahenini, Abdelmalik Taleb-Ahmed

Support vector machine is a well-known method of statistical learning by its good accuracy; however, its training time is very poor especially in case of huge databases. Many research works aim to reduce training samples to improve training time without significant loss in accuracy. In this paper,…

International Journal of Data Mining, Modelling and Management, 2017, 9 (1), pp.1-16. ⟨10.1504/IJDMMM.2017.082555⟩. ⟨hal-03429978⟩

• Article dans une revue

New use of the HITS algorithm for fast web page classification

Mohamed Nadjib Meadi, Chaouki Babahenini, Abdelmalik Taleb-Ahmed

The immense number of documents published on the web requires the utilization of automatic classifiers that allow organizing and obtaining information from these large resources. Typically, automatic web pages classifiers handle millions of web pages, tens of thousands of features, and hundreds of…

Turkish Journal of Electrical Engineering and Computer Sciences, 2017, 25 (3), pp.2015-2032. ⟨10.3906/ELK-1501-236⟩. ⟨hal-03428798⟩

• Communication dans un congrès

Calculation of greenhouse gas emissions of jatropha oil and jatropha biodiesel as alternative fuels for electricity production in Côte d’Ivoire

Atta Pascal Atta, Yao N'Guessan, Céline Morin, Anne Jaecker-Voirol, Georges Descombes

The electricity in Côte d’Ivoire is mainly produced from fossil energy sources. This causes damages on environment due to greenhouse gas emissions (GHG). The aim of this paper is to calculate the greenhouse gas (GHG) emissions of jatropha oil and jatropha biodiesel as alternative fuels for…

Technologies and Materials for Renewable Energy, Environment and Sustainability TMREES16 Fall Meeting, Nov 2016, Paris, France. ⟨10.1063/1.4976287⟩. ⟨hal-01505012⟩

• Article dans une revue

Iterative aggregation and disaggregation algorithm for pseudo-polynomial network flow models with side constraints

François Clautiaux, Said Hanafi, Rita Macedo, Marie-Emilie Voge, Cláudio Alves

This paper develops a general solution framework based on aggregation techniques to solve NP-Hard problems that can be formulated as a circulation model with specific side constraints. The size of the extended Mixed Integer Linear Programming formulation is generally pseudo-polynomial. To…

European Journal of Operational Research, 2017, 258, pp.467 - 477. ⟨10.1016/j.ejor.2016.09.051⟩. ⟨hal-01410170v2⟩