Publications
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HEALTrust: Enhancing Healthcare Data Integrity and Privacy through Blockchain-Enabled Exchange Systems
Invited talk to the event: Vers une santé digitale en Algérie, Convergence des compétences informatiques et cliniques, 2023, Tlemcen, Université de Tlemcen, Algeria. The talk is about using BC in healthcare systems
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EEG-based Emotion Recognition Using Modified Covariance and Ensemble Classifiers
The Electroencephalography (EEG)-based precise emotion identification is one of the most challenging tasks in pattern recognition. In this paper, an innovative EEG signal processing method is devised for an automated emotion identification. The Symlets-4 filters based “Multi Scale Principal Component Analysis” (MSPCA) is used to denoise and reduce the raw signal’s dimension. Onward, the “Modified […]
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An overview on human-centred technologies, measurements and optimisation in assembly systems.
This paper offers an in-depth examination of the ergonomics of human-centred assembly systems in Industry 4.0, where manual tasks remain essential. The use of advanced technologies such as motion capture (MOCAP) and virtual reality (VR) is analysed as ways to enhance system efficiency and improve worker well-being. The paper highlights the importance of optimising assembly […]
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Multi-Agent Simulation for Scheduling and Path Planning of Autonomous Intelligent Vehicles
Autonomous and Guided Vehicles (AGVs) have long been employed in material handling but necessitate significant investments, such as designating specific movement areas. As an alternative, Autonomous and Intelligent Vehicles (AIVs) have gained traction due to their adaptability, intelligence, and capability to handle unexpected obstacles. Yet, challenges like optimizing scheduling and path planning, and managing routing […]
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DLSTM-SCM– A Dynamic LSTM-Based Framework for Smart Supply Chain Management
In the retail industry, SCM holds significant importance as it ensures the efficient movement of goods from suppliers to customers. In this intricate and fast-paced environment, the availability of accurate information and data is crucial. The purpose of this paper is to develop a framework that enhances forecasting accuracy and efficiency in supply chain operations […]
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A Smart Mining Strategy for Blockchain-Enabled Cyber-Physical Systems
This article presents a novel approach to enhancing asset management and resource sharing in intelligent systems with a focus on the industrial ones using Blockchain. We introduce a hybrid network architecture—termed the Hybrid Cyber-Physical System (HyCPS)—designed to facilitate decentralized, trustworthy data sharing across all layers. Central to this framework is a robust smart consensus protocol […]
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Benchmarking OpenStack for edge computing applications
In this paper, we focus on the identification and evaluation of performance factors of OpenStack-based edge computing platforms. Such infrastructure relies on the deployment of additional computing resources close to the data source, to alleviate low throughput, latencies and network congestion. While cloud data centres offer numerous compute-intensive processing units, the edge layer leverages heterogeneous, […]
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A Comparative Study of Blockchain Development Platforms
Blockchain technology is nowadays applied to several domains, essentially finance, healthcare, supply chain, and digital identity management. For enterprises to adopt a blockchain solution, many existing platforms facilitate the development process rather than implementing the system from scratch. Each platform has its own characteristics, capabilities, and limitations. Thus, several factors should be considered, including the […]
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Finite-dimensional adaptive observer design for reaction-diffusion system
A new finite dimensional adaptive observer is proposed for a class of linear parabolic systems. The observer is based on the modal decomposition approach and uses a classical persistent excitation condition to ensure exponential convergence of both states and parameter estimation errors to zero.
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From Simulation to Digital Twins, the Case of Internet of Things Research and Tools
The digitalisation of the environment surrounding human beings in their daily life is a major challenge facing today’s technological progress. Building digital replicas of humans and systems help us to understand our environment, to anticipate its variations and to better explain its behaviour. Research in digital twins is continuously developing due to the various benefits […]
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A Collaborative Real-Time Object Detection and Data Association Framework for Autonomous Robots Using Federated Graph Neural Network
Autonomous robotics require secure and decentralized decision-making systems that ensure data privacy and computational efficiency, especially in critical areas. Current centralized models or human input are associated with data breaches and security vulnerabilities. To counter these, we propose CoRODDA, a dedicated framework combining federated learning and graph neural networks. It enhances object detection and data […]
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Securing Autonomous Vehicles: Fundamentals, Challenges, and Perspectives
This paper introduces a comprehensive methodology aimed at enhancing security and immunity in automotive networks, placing a primary focus on the detection, prediction, and forecasting of errors in autonomous vehicles. Conventional approaches to vehicle cybersecurity often struggle to keep pace with evolving threats and provide effective error detection mechanisms. Our proposed methodology seeks to bridge […]
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