Publications
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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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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 […]
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Hub location problems: Classification and bibliometric analysis of relevant works
This paper presents a detailed study of the wellknown hub location problem (HLP). Its primary objective is to introduce novice readers to the complexity of this field. We focus on a review of pioneering work in HLP and have classified it according to several criteria. To do this, several classes have been identified, in particular: […]
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Optimizing Resource Allocation in the Flexible Job Shop Problem: Assessing the Impact of Rest Breaks on Task Strenuousness Reduction
The integration of collaborative robots (cobots) in production workshops aims to enhance productivity while minimizing physical strain for human operators. However, physical strain is often treated merely as a constraint rather than as an objective to address. To effectively model the production process and incorporate human factors, it is crucial to employ an appropriate index […]
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Potatoes Supply Chain Challenges and Opportunities in Algeria : A literature Review
The Agri-Food Supply Chain (AFSC) has become a focal point of attention in recent times due to the intersection of technology and integrated Supply Chain (SC) performance. Current research endeavors aim to minimize waste, maximize yield, and enhance planning while ensuring chain traceability and maintaining product price equilibrium. This paper offers a comprehensive summary of […]
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Distributed dynamics scheduling based reinforcement learning: importance and challenges
When it comes to scheduling choices inside complex industrial systems, the dynamic job shop scheduling problem (DJSSP) poses substantial difficulties. Deep learning, artificial intelligence (AI), and reinforcement learning approaches have all shown promising solutions in recent years to enhance the effectiveness and performance of DJSSP systems. This study provides a detailed analysis of the DJSSP […]
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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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