On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges

Mounia Achouch, Mariya Dimitrova, Khaled Ziane, +4

Applied Sciences

Software MaintenanceEngineeringIndustrial EngineeringIntelligent SystemsMaintenance Scheduling +17

Reviewing Federated Learning Aggregation Algorithms; Strategies, Contributions, Limitations and Future Perspectives

Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, +2

Electronics

Artificial IntelligenceFuture PerspectivesMachine LearningEngineeringDistributed Algorithms +19

Study of smart grid cyber-security, examining architectures, communication networks, cyber-attacks, countermeasure techniques, and challenges

Batoul Achaal, Mehdi Adda, M. Berger, +2

Cybersecurity

User action and facial expression recognition for error detection system in an ambient assisted environment

Yacine Yaddaden, Mehdi Adda, Abdenour Bouzouane, +2

Expert Systems with Applications

EngineeringAssistive TechnologyFacial Expression RecognitionBiometricsWearable Technology +11

Smart Home Design for Disabled People based on Neural Networks

Ali Zuhair Hussein, Mehdi Adda, Mirna Atieh, +1

Procedia Computer Science

EngineeringDisabled PeopleDisabilityWearable TechnologyEducation +18

Rare Itemset Mining

Mehdi Adda, Lei Wu, Yi Feng

EngineeringRare Itemset MiningPattern DiscoveryPattern MiningRare Metal +14

Toward Recommendation Based on Ontology-Powered Web-Usage Mining

Rokia Missaoui, Petko Valtchev, Chabane Djeraba, +1

IEEE Internet Computing

Web MiningEngineeringInformation RetrievalData ScienceData Mining +12

Reviewing Multimodal Machine Learning and Its Use in Cardiovascular Diseases Detection

Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, +2

Electronics

Artificial IntelligenceCardiovascular Diseases DetectionEngineeringMachine LearningBiometrics +24

3iVClass: a new classification method for Virtual, Augmented and Mixed Realities

Marc Parveau, Mehdi Adda

Procedia Computer Science

EngineeringMixed RealityVirtual RealityDesignUser Experience +12

Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor

Mounia Achouch, Mariya Dimitrova, Rizck Dhouib, +5

Applied Sciences

Fault DiagnosisEngineeringMachine LearningIndustrial EngineeringLstm Neural Networks +21