1 Jan 20251cites
Harmonizing Human-Centric Collaborative Hybrid Intelligence: A Deep Dive into the Transition from Industry 4.0 to Industry 5.0—A Case Study ExperimentPublisher siteLecture notes in electrical engineering, IoT and Edge/Fog Computing
Active, last published 2026
In digital transformation in industry
Ali El
Kihel
Scholar“Research focused on Digital Transformation in Industry and adjacent fields.”
Mohamed I University
Morocco
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82
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01 · About the work
What I study
li El Kihel is a researcher working on Digital Transformation in Industry. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Ali's work has been cited 82 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Digital Transformation in Industry×8Engineering Diagnostics and Reliability×4Quality and Safety in Healthcare×3Quality and Supply Management×2Machine Fault Diagnosis Techniques×2
04 · Where I am
Affiliations
Affiliation on published researchMohamed I University, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
6 works1 Jan 20241cites
Methods of Decision-Making Using Artificial Intelligence for Predictive MaintenancePublisher siteSustainable civil infrastructures, Engineering Diagnostics and Reliability
16 Dec 20231cites
Optimizing Energy Generation: Real-Time Performance Management Strategy Leveraging 4.0 Technologies in the Energy 4.0 EraPublisher site7 Sept 20239cites
Maintenance 4.0 Model Development for Production Lines in Industry 4.0 Using a Deep Learning Approach and IoT Data in Real-Time: an Experimental Case StudyPublisher site1 Jan 20231cites
Defining and Implementing Predictive Maintenance Based on Artificial Intelligence for Rotating MachinesPublisher siteLecture notes in networks and systems, Engineering Diagnostics and Reliability
1 Jan 2023
Optimization of Industrial Energy Efficiency by Intelligent Predictive Maintenance Tools, Case of Coupling Misalignment and Unbalance for an Industrial SystemPublisher siteLecture notes in electrical engineering, Engineering Diagnostics and Reliability
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