Publications
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Artificial Intelligence Assistive Fire Detection and Seeing the Invisible Through Smoke using Hyperspectral and Multi-spectral Images
Abstract— The global warming has serious impact on our climate. Due to this, the frequency and the intensity of forest fires is increasing. It has shown serious challenges such as the protection of resources, human and wild life, health, and property. This study focuses on developing an artificial intelligence assistive innovative solution for active fire […]
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Particle filter meets hybrid octrees: an octree-based ground vehicle localization approach without learning
This paper proposes an accurate lidar-based outdoor localization method that requires few computational resources, is robust in challenging environments (urban, off-road, seasonal variations) and whose performances are equivalent for two different sensor technologies: scanning LiDAR and flash LiDAR. The method is based on the matching between a pre-built 3D map and the LiDAR measurements. Our […]
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Innovation culture in French organisations
The aim of this study was to measure the relative impact of culture and processes on innovation performance. Contrary to processes, culture represents all implicit factors influencing daily behaviour. Culture gathers the unwritten rules of the social game and serves as social cement for an organisation. Processes correspond to identified and formalised practices and rules, […]
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Toward Universal Creativity Assessment by Untrained Judges
The purpose of a creativity session being first to generate many ideas, how to fast and reliably assess each one’s creativity, even with non-creativity experts? Creative people appearing not only to be good at generating ideas but also at implicitly evaluating them, improving people’s assessment would further improve their own creativity. This paper investigates canonical […]
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Developing innovation culture through the transformation of a master learning path
Every year, around one thousands of postgraduate students attends CESI preparing expertise master courses on diverse aspects of management. During this year, MS® postgraduate students work in companies and spend one week per month at CESI. For each student, one of the issue of the year is to write a professional thesis. On student size, […]
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Improving Causality in Interpretable Video Retrieval
This paper focuses on the causal relation between the detection scores of concept (or tag) classifiers and the ranking decisions based on these scores, paving the way for these tags to be used in the visual explanations. We first define a measure for quantifying a causality on a set of tags, typically those involved in […]
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An interior-points algorithm for color and CCT control of multichannel LED lighting system using a Smart 18-Channel Spectral Sensor
In this paper we provide a simple and cost-effective control scheme for controlling a colored light ambience or Correlated Color Temperature (CCT) in a room at least partially lit up by a set of colored LEDs. The objective is to maintain a desired lighting ambience or desired CCT in a room by taking into account […]
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Errare humanum est, perseverare autem diabolicum: A Follow-Up Study on the Human-Likeness of an AI Othello Player
Othello, also known as Reversi, is a popular 2-players board game. Olivaw is an intelligent agent playing Othello. Compared to the most famous ones (such as Saio), it exploits limited resources by autonomously learning how to improve its gameplay by playing against itself. In previous occasions, Othello players reported the impression of a sort of […]
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NSGA-II for solving a multi-objective, sustainable and flexible job shop scheduling problem
Recently, sustainable scheduling has emerged to make the trade-off between economic, environmental and social factors. While classical scheduling research focuses on economic and environmental indicators such as makespan and energy consumption, modern human-centred manufacturing systems consider additional important factors such as workers’ well-being and ergonomic risks. This study proposes a multi-objective mathematical model that jointly […]
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Machine Learning for Predicting Personality Traits from Eye Tracking
Recently, personality prediction holds significant importance in human centered systems, particularly in decision support systems, the smart industry, and the development of human machine interfaces. Eyes can reveal deep insights into a person’s personality, so people’s visual behavior could better reflect their personality. In this research, we demonstrate that machine learning techniques can predict individual […]
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Comparative Study of Waste Management Systems in Algeria and Other Countries : a literature review
Waste management holds significant importance for developing countries due to its impact on the environment, health, and economy. Insufficient waste management practices can result in pollution, disease outbreaks, greenhouse gas emissions, and social conflicts. Consequently, developing countries must make strategic decisions to enhance their waste management systems and practices. This article aims to examine waste […]
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lectric Vehicle Route Simulation: A Preliminary Approach
This article presents a NetLogo-based multi-agent simulator developed to optimize route and task planning using electric vehicles for travel between branches of Société Générale. The simulator takes into account constraints linked to the limited autonomy of electric vehicle batteries in the dense urban context of branches. We carried out simulation tests to evaluate the simulator’s […]