Publications
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It’s not Just What You Do but also When You Do It: Novel Perspectives for Informing Interactive Public Speaking Training
Most of the emerging public speaking training systems, while very promising, leverage temporal-aggregate features, which do not take into account the structure of the speech. In this paper, we take a different perspective, testing whether some well-known socio-cognitive theories, like first impressions or primacy and recency effect, apply in the distinct context of public speaking […]
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AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
The proposed research aims to provide a deep insight into the deep learning and machine learning techniques used for diagnosing skin cancer. While maintaining a healthy balance between both Machine Learning as well as Deep Learning, the study also discusses open challenges and future directions in this field. The research includes a comparison on widely […]
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Heart Disease Identification Based on Butterfly Optimization and Machine Learning
This paper aims to make use of The Physionet Challenge 2016 collection of normal and abnormal heart sound recordings that were classified by automated identification of PCG sounds to help detect heart diseases earlier and prevent incidents. People with heart diseases have been increasing and most of them lead to fatalities so the detection of […]
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Epileptic Seizure Detection Using the EEG Signal Empirical Mode Decomposition and Machine Learning
Epileptic seizures affect millions of people worldwide. Medical treatments exist to help lessen the severity of the damage caused by these seizures. However, people with epilepsy still struggle with unexpected seizures. People who experience epileptic seizures have Electroencephalogram (EEG) signals that show different features in comparison to a healthy brain. In this study, EEG signals […]
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Digital Twin of an Industrial Workstation: A Novel Method of an Auto-Labeled Data Generator using Virtual Reality for Human Action Recognition in the Context of Human Robot Collaboration
The recognition of human actions based on artificial intelligence methods to enable Human-Robot Collaboration (HRC) inside working environments remains a challenge, especially because of the necessary huge training datasets needed. Meanwhile, Digital Twins (DT) of human centered productions are increasingly developed and used in the design and operation phases. As instance, DT are already helping […]
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Jumeaux numériques pour l’enseignement
Présentation du projet JENII, état de l’art S. Fernagu, Directrice de recherche au CESI- Paris :« Implication de l’usage des jumeaux numériques sur l’enseignement et l’apprentissage professionnels ».Vous la/le retrouverez ici : http://pod.univ-cotedazur.fr/video/16519-fernagu-jumeaux-numeriquesv2mp4/
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Analysis of physical and mechanical characteristics of tropical natural fibers for their use in civil engineering applications
ABSTRACT Natural fibers investigated in this study are mainly waste from agro industry. The importance of natural fibers in building composites is increasing, as they partially replace nonrenewable natural resources acting as reinforcement in composite materials such as concrete, mortar and earth bricks. Their recycling requires a detailed analysis of the physical, chemical, and mechanical […]
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Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement
The Job Shop Scheduling Problem (JSSP) has been widely studied in recent decades. Various approaches have been proposed to support scheduling decisions according to the evolving production environment. The emergence of technological advancements in the context of Industry 4.0 has brought many changes and made production scheduling more and more efficient. Today’s Industry 5.0 environment […]
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Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry
Industry 4.0 arrives with a multitude of technological advances which impact the different components of a product’s value chain. Most existing research investigate the application of Industry 4.0 technologies in various parts of the manufacturing process. However, there is still a lack of comprehensive research on the impact of Industry 4.0 technologies on decision-making and […]
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Detecting Dynamic Patterns In Dynamic Graphs Using Subgraph Isomorphism
Graphs have been used in different fields of research for performing structural analysis of various systems. In order to compare the structure of two systems, the correspondence between their graphs has to be verified. The problem of graph matching, especially subgraph isomorphism (SI), has been well studied in case of static graphs. However, many applications […]
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Prototype of the Solution with a View to Industrialization
The development of a wheelchair to help people with mobility impairments (PMI) in their daily life is a very important topic that interest researchers. The introduction of new technologies can provide these wheelchairs with very interesting and useful functionalities. However, the proposed functionalities increase the cost of the electrical or the smart wheelchair. The main […]
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Context aware human machine interface for decision support
Humans are often impacted by the presentation of choices in a digital environment. But they differ in their characteristics, behaviours, skills, limitations, and act differently in the same environment. Therefore, Influencing users choices through adaptive human-machine interfaces is crucial in context-aware technologies characterizing the industry 5.0. Our research efforts therefore focus on developing a reference […]
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