AIED 2022 - The 23rd International Conference on Artificial Intelligence in Education, Jul 2022, Durham, United Kingdom. pp.218-230, ⟨10.1007/978-3-031-11644-5_18⟩. ⟨hal-04413375⟩

Article dans une revue

Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo-and Immunotherapy

Kaouther Moussa, Mirko Fiacchini, Mazen Alamir

The recent progress in immunology lead to a considerable interest in modeling cancer dynamics in order to better understand and analyze such complex systems. Many works have been carried out in order to design cancer treatment protocols using mathematical models. One of the main complexities of…

International Journal of Robust and Nonlinear Control, 2022, 32 (11), pp.6539-6555. ⟨10.1002/rnc.6158⟩. ⟨hal-03651829⟩

Pré-publication, Document de travail

Human-Centred Research & Design for Inclusive Mobility. Sections A & B

Bako Rajaonah

The French version of this document is initially intended for future research candidates at Université Polytechnique Hauts-de-France (UPHF), as well as the PhD students at LAMIH (Laboratory of industrial and human automation, mechanics and computer science) who wish to apply a human-centred…

2022. ⟨hal-03726812⟩

Article dans une revue

DMCSC: a fully distributed multi-coloring approach for scalable communication in synchronous broadcast networks

Youcef Imine, Hicham Lakhlef, Michel Raynal, François Taïani

The Internet of Things (IoT) has changed the worldwide network of people, smart devices, intelligent things, data, and information as an emergent technology. IoT development is still in its early stages, and numerous interrelated challenges must be addressed. IoT is the unifying idea of embedding…

Journal of Supercomputing, 2022, 79 (1), pp.788-813. ⟨10.1007/s11227-022-04700-3⟩. ⟨hal-04389352⟩

Article dans une revue

Using deep learning to value free-form text data for predictive maintenance

Juan Pablo Usuga-Cadavid, Samir Lamouri, Bernard Grabot, Arnaud Fortin

Past maintenance logs may encapsulate meaningful data for predicting the duration of machine breakdowns, the potential causes of a problem, or the necessity to stop production to perform repair activities. These insights may be accessed using machine learning (ML). However, maintenance logs tend to…

International Journal of Production Research, 2022, 60 (14), pp.4548-4575. ⟨10.1080/00207543.2021.1951868⟩. ⟨hal-04010686⟩

Chapitre d'ouvrage

Impact of Heat Integration from CO2 Compression on Energy Requirement and Equipment Costs in Power Plants Using Post-combustion Capture

Madjid Bentorki, Jian Chen, Fethi Aloui

This work presents a study of different CO2 compression models. Various CO2 compression options widely used in the industry will be modelled through Aspen plus and energy requirement and heat available will be quantified and compared. An operating costs and capital costs assessment has been first…

Prof. Dr. V. Edwin Geo; Prof. Dr. Fethi Aloui (Ed.). Energy and Exergy for Sustainable and Clean Environment, Volume 1, Springer Nature, pp.601-614, 2022, Green Energy and Technology, 978-981-16-8277-3. ⟨10.1007/978-981-16-8278-0_39⟩. ⟨hal-04150472⟩

Chapitre d'ouvrage

Kinetic Study of Waste Tires Pyrolysis by Thermogravimetric Analysis Kissinger–Akahira–Sunose (KAS) Method

Hiba Rejeb, Emna Berrich, Mohamed Hachemi Chahbani, Fethi Aloui

The aim of this paper is to study the thermal degradation of waste tires (WT) by thermogravimetric analysis (TGA), for different heating rates, under nitrogen atmosphere (N2). Experiments were carried out at different heating rates to reach 800 °C. Kissinger–Akahira–Sunose (KAS) model was applied…

Prof. Dr. V. Edwin Geo; Prof. Dr. Fethi Aloui (Ed.). Energy and Exergy for Sustainable and Clean Environment, Volume 1, Springer Nature, pp.589-599, 2022, Green Energy and Technology, 978-981-16-8277-3. ⟨10.1007/978-981-16-8278-0_38⟩. ⟨hal-04150155⟩