Lamjed Ben Saïd
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View article: Novel AutoCNN Model for Stock Market Index Prediction
Novel AutoCNN Model for Stock Market Index Prediction Open
Stock markets have a significant impact on the economic growth of countries. Predicting stock market indices has been a complex task in recent years. Indeed, many researchers and financial analysts are keenly interested in the research are…
View article: Secure Euclidean random distribution for patients’ magnetic resonance imaging privacy protection
Secure Euclidean random distribution for patients’ magnetic resonance imaging privacy protection Open
Patients’ information and images transfer among medical institutes represent a major tool for delivering better healthcare services. However, privacy and security for healthcare information are big challenges in telemedicine. Evidently, ev…
View article: Jaccard-based Random Distribution with Least and Most Significant Bit Hiding Methods for Highly Patients MRI Protected Privacy
Jaccard-based Random Distribution with Least and Most Significant Bit Hiding Methods for Highly Patients MRI Protected Privacy Open
In this study, the main goal is to improve patient care by making it easier for patient data and pictures to be sent between medical centers without problems. Still, one of the biggest problems with telemedicine is keeping patient informat…
View article: MCDM and FaaS to Automate the Eligibility of Business Rules in the Decision-Making Task during Business Processes
MCDM and FaaS to Automate the Eligibility of Business Rules in the Decision-Making Task during Business Processes Open
Serverless Computing, also named Function as a Service (FaaS) in the Azure cloud provider, is a new feature of cloud computing. This is another brick, after managed and fully managed services, allowing to provide on-demand services instead…
View article: Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques
Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques Open
The stock market is viewed as an unpredictable, volatile, and competitive market. The prediction of stock prices has been a challenging task for many years. In fact, many analysts are highly interested in the research area of stock price p…
View article: Discretization-Based Feature Selection as a Bilevel Optimization Problem
Discretization-Based Feature Selection as a Bilevel Optimization Problem Open
Discretization-based feature selection (DBFS) approaches have shown interesting results when using several metaheuristic algorithms, such as particle swarm optimization (PSO), genetic algorithm (GA), ant colony optimization (ACO), etc. How…
View article: The Use of DCNN for Road Path Detection and Segmentation
The Use of DCNN for Road Path Detection and Segmentation Open
In this study, various organizations that have participated in several road path-detecting experiments are analyzed. However, the majority of techniques rely on attributes or form models built by humans to identify sections of the path. In…
View article: Enhancing Decision-Making Consistency in Business Process using a Rule-Based Approach
Enhancing Decision-Making Consistency in Business Process using a Rule-Based Approach Open
Decision-making in Business Process is a real challenge, given its technical complexity and organizational impact. Mostly, decision-making is based on business rules fired by an inference engine using facts reflecting the context of the cu…
View article: Optimal Electric Vehicles Route Planning with Traffic Flow Prediction and Real-Time Traffic Incidents
Optimal Electric Vehicles Route Planning with Traffic Flow Prediction and Real-Time Traffic Incidents Open
Electric Vehicles (EVs) are regarded to be among the most environmentally and economically efficient transportation solutions. However, barriers and range limitations hinder this technology’s progress and deployment. In this paper, we exam…
View article: Computing driver tiredness and fatigue in automobile via eye tracking and body movements
Computing driver tiredness and fatigue in automobile via eye tracking and body movements Open
The aim of this paper is to classify the driver tiredness and fatigue in automobile via eye tracking and body movements using deep learning based Convolutional Neural Network (CNN) algorithm. Vehicle driver face localization serves as one …
View article: Computing driver tiredness and fatigue in automobile via eye tracking and body movements
Computing driver tiredness and fatigue in automobile via eye tracking and body movements Open
The aim of this paper is to classify the driver tiredness and fatigue in automobile via eye tracking and body movements using deep learning based Convolutional Neural Network (CNN) algorithm. Vehicle driver face localization serves as one …
View article: ATiPreTA: An analytical model for time-dependent prediction of terrorist attacks
ATiPreTA: An analytical model for time-dependent prediction of terrorist attacks Open
In counter-terrorism actions, commanders are confronted with difficult and important challenges. Their decision-making processes follow military instructions and must consider the humanitarian aspect of the mission. In this paper, we aim t…
View article: Driver Behaviors Based on Linguistic Fuzzy Rules
Driver Behaviors Based on Linguistic Fuzzy Rules Open
Linguistic rules in the presented data reflect the behavior of drivers, during application of the car-following driving behavior.
View article: A two-agent one-machine multitasking scheduling problem solving by exact and metaheuristics
A two-agent one-machine multitasking scheduling problem solving by exact and metaheuristics Open
This paper studies a single-machine multitasking scheduling problem together with two-agent consideration. The objective is to look for an optimal schedule to minimize the total tardiness of one agent subject to the total completion time o…
View article: Conceptual terrorist attacks classification : pre-processing for artificial intelligence-based classification
Conceptual terrorist attacks classification : pre-processing for artificial intelligence-based classification Open
International audience
View article: Multi-Agent Cooperation for an Active Perception Based on Driving Behavior: Application in a Car-Following Behavior
Multi-Agent Cooperation for an Active Perception Based on Driving Behavior: Application in a Car-Following Behavior Open
Perception is presented as a predominant concern in the functioning of a driving system, where it is necessary to understand how the information, events, and actions of each influence the state of the environment and the objectives of the …
View article: Bi-level multi-objective combinatorial optimization using reference approximation of the lower level reaction
Bi-level multi-objective combinatorial optimization using reference approximation of the lower level reaction Open
International audience
View article: Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes
Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes Open
Many decision making situations are characterized by a hierarchical structure where a lower-level (follower) optimization problem appears as a constraint of the upper-level (leader) one. Such kind of situations is usually modeled as a BLOP…
View article: Bi-level Decision-making Modeling for an Autonomous Driver Agent: Application in the Car-following Driving Behavior
Bi-level Decision-making Modeling for an Autonomous Driver Agent: Application in the Car-following Driving Behavior Open
International audience
View article: Hybrid System for Information Extraction from Social Media Text: Drug Abuse Case Study
Hybrid System for Information Extraction from Social Media Text: Drug Abuse Case Study Open
Social media are becoming widely used in the healthcare field as a patients-caregivers communication tool giving birth to new sources of information rich with the knowledge that may improve this field. Therefore, social media data analysis…