Publicaciones

• 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⟩

• Chapitre d'ouvrage

Towards advanced security engineering for enterprise information systems: Solving security, resilience and usability issues together within improvement of user experience

Wilson Goudalo, Christophe Kolski, Frédéric Vanderhaegen

In our era of the service industry, information systems play a major place, even a vital position for businesses, organizations and individuals. Information systems are facing new ongoing security threats, more sophisticated and of different natures. In this context, it is important to prevent...

Hammoudi, Slimane; Maciaszek, Leszek; Missikoff, Michele; Camp, Olivier; Cordeiro, José. Enterprise Information Systems, 18th International Conference, ICEIS 2016, Rome, Italy, April 25–28, 2016, Revised Selected Papers, 291, Springer, pp.436-459, 2017, Lecture Notes in Business Information Processing, ⟨10.1007/978-3-319-62386-3_20⟩. ⟨hal-03330787⟩

• 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⟩

• Brevet

Dispositif d'optimisation de la conduite d'un véhicule ferroviaire, Optimierungsvorrichtung für den betrieb eines schienenfahrzeugs, An optimization device for optimizing the driving of a railway vehicle

Denis Miglianico, Salvatore La Delfa, Simon Enjalbert, Rudy Dahyot, Philippe Polet, Frédéric Vanderhaegen

La présente invention concerne un dispositif d’optimisation de la conduite d’un véhicule ferroviaire. La consommation d’énergie d’un véhicule ferroviaire est directement liée à la vitesse de celui-ci. Ainsi, il existe des méthodes de détermination d’une vitesse optimale pour le véhicule ferroviaire...

France, N° de brevet: FR3063702B1 (2017); EP3375689B1 (2018). 2017. ⟨hal-05352002⟩

• Rapport

Cap Qualité - Planification et Réalisation

Philippe Moreau, Véronique Landrain, Laurent Keirsbulck, Cécile Roselle, Jean-Dominique Guerin

[Rapport de recherche] Rapport intermédiaire LAMIH- Institut Carnot, Université de valenciennes et du Hainaut-Cambrésis. 2017. ⟨hal-03442560⟩

• 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⟩

• Rapport

L3300 : Validation des algorithmes de modulation du niveau d’automatisation

Chouki Sentouh, Mohamed Amir Benloucif, Jérôme Floris, Philippe Simon, Jean-Christophe Popieul

[Rapport de recherche] LAMIH, Valenciennes. 2017. ⟨hal-03423307⟩

• 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

Modelling and characterisation of dynamic behaviour of short-fibre-reinforced composites

Mariem Nciri, Delphine Notta-Cuvier, Franck Lauro, Fahmi Chaari, Yamen Maalej, Bassem Zouari

This study proposes a constitutive model of viscous behaviour of short-fibre reinforced composites (SFRC) with complex distributions of fibre orientations and for a wide range of strain rates. The model is based on an additive decomposition of the state potential for the computation of composite...

Composite Structures, 2017, 160, pp.516-528. ⟨10.1016/j.compstruct.2016.10.083⟩. ⟨hal-03451457⟩

• Article dans une revue

Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms

Mads Jochumsen, Cecilie Rovsing, Helene Rovsing, Sylvain Cremoux, Nada Signal, Kathryn Allen, Denise Taylor, Imran K. Niazi

The ability to learn motor tasks is important in both healthy and pathological conditions. Measurement tools commonly used to quantify the neurophysiological changes associated with motor training such as transcranial magnetic stimulation and functional magnetic resonance imaging pose some...

Frontiers in Human Neuroscience, 2017, 11, pp.604. ⟨10.3389/fnhum.2017.00604⟩. ⟨hal-02342023⟩