Accueil › Annuaire des chercheurs › Mohamed Hamlich
Mohamed Hamlich
Affiliation : University of Hassan II Casablanca
- 63Publications (affiliation marocaine)
- 75Publications au total
- 479Citations
- 13Indice h
Profil de recherche
Mohamed Hamlich compte 63 publications référencées (2016–2026). Ses travaux paraissent principalement dans « Communications in computer and information science », « Progress in Artificial Intelligence » et « SSRN Electronic Journal ». Son article le plus cité, « Towards big industrial data mining through explainable automated machine learning » (2022), a été cité 71 fois. 31 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France, Espagne.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Robot Manipulation and Learning
- Machine Learning and Data Classification
- Topic Modeling
- Digital Transformation in Industry
- Data Mining and Machine Learning Applications
Publications (63)
- Explainable AI for Energy Prediction in Smart Building
- NoRMA: A Multi-agent Communication-Centric Dataset for Enhanced Customs Nomenclature Classification
- Advancing Human-Robot Interaction for Smart Disassembly with Artificial Intelligence: Case of Real-Time Voice Controlled for a Cobot
- Voice as Policy: A Language-Driven HMI with Visual Target Coordinates
- Synthetic data generation framework for quality control automation in gravure printing
- Multi-Agent System-driven Digital Twins for predictive maintenance: architectures, technologies and open research challenges
- Multi-View Dual-Contrastive Graph Learning with Adaptive Agreement for Semi-Supervised Text Classification
- Optimized robotic sequence planning and recommendation: a human–robot collaboration case study in computer disassembly
- From CO 2 Forecasting to Occupancy Inference: Performance Limits of LSTM Networks with Temporal Feature Engineering
- Design and simulation of an interactive human robot disassembly system for end of life phones
- The future of robotic disassembly: a systematic review of techniques and applications in the age of AI
- Adaptive Particle Swarm and Ant Colony Optimization Path Planning for Autonomous Robot Navigation
- AI-Driven Robotic Disassembly: Harnessing IoT and Data Collection for Sustainable E-Waste Solutions
- Enhancing text classification with BERT-based graph representations using novel contextual metrics
- Design and Simulation of an Interactive Human Robot Disassembly System for End of Life Phones
- Energy-Efficient On-Device Reinforcement Learning for Adaptive Multi-Sensor Scheduling in Resource-Constrained Edge Systems
- Quantization-Aware Conformal Prediction Framework for Trustworthy Myocardial Infarction Detection: Implementation and Validation on Resource-Constrained Hardware
- Evaluating Automatic Annotation Techniques for Fine-Tuning Large Language Models in Financial Sentiment Analysis
- Assistive Cobot for E-Waste Disassembly: Multi-Sensor HRC with Tool Recommendation
- MultiModal Human-Robot Interaction for Cobot-Assisted Disassembly: A Comparative Study of Voice, Gesture, GUI, and Brain Signal Control
- LiDAR vs Camera in Robotic Disassembly: A Comparative Study of Safety and Perception in Human–Robot Collaboration
- Navigation method for autonomous mobile robots based on ROS and multi-robot improved Q-learning
- Toward predicting entrepreneurial activity among Moroccan Entrepreneurs: A machine learning approach
- Network intrusion detection in big datasets using Spark environment and incremental learning
- Exploring the impact of preprocessing and feature extraction on deep learning-based sentiment analysis for big data in apache spark
- Human-Robot Collaboration in Remanufacturing: An Application for Computer Disassembly
- Enhancing Sentiment Analysis of Movie Reviews with PySpark
- Collaborative and dynamic kernel discriminant analysis for large-scale problems: applications in multi-class learning and novelty detection
- A novel approach for locating and hunting dynamic targets in unknown environments
- A Comprehensive Study on Explainable Energy Consumption Patterns in Smart Buildings
- Industry 4.0: Internet of Things and Cyber-Physical Systems for the Implementation of Pedagogical Factory Digital Twin
- Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms
- Evaluation of AutoML Tools for Manufacturing Applications
- Version [2.0]- [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]
- Joint consideration of Production, Quality and Maintenance: a Bibliometric Analysis
- Towards big industrial data mining through explainable automated machine learning
- Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
- Hunting strategy for multi-robot based on wolf swarm algorithm and artificial potential field
- Towards Meta-Learning Based Data Analytics to Better Assist the Domain Experts in Industry 4.0
- Smart Applications and Data Analysis
- Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0
- Product defect detection based on convolutional autoencoder and one-class classification
- A sight on defect detection methods for imbalanced industrial data
- Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning
- Data-Driven Solutions for Electricity Price Forecasting: The Case of EU Improvement Project
- A new remote monitoring device to track magnetic resonance imaging machine cooling system failures
- Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems
- AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data
- Towards the Automation of Industrial Data Science: A Meta-learning based Approach
- Machine Learning based Intrusion Detection for Cyber-Security in IoT Networks
- Improvised multi-robot cooperation strategy for hunting a dynamic target
- Hybrid Formation Control for Multi-Robot Hunters Based on Multi-Agent Deep Deterministic Policy Gradient
- Real time monitoring of water Quality using IoT and Deep learning
- Special Issue on Smart Applications and Data Analysis for Smart Cyber–Physical Systems
- Improvised multi-robot cooperation strategy for hunting a dynamic target
- Machine learning methods against false data injection in smart grid
- Photocatalytic degradation of methylene blue by the use of titanium-doped Calcined Mussel Shells CMS/TiO2
- A new Robust Heterogeneous Multi-Robot Approach Based on Cloud for Task Allocation
- Real-Time False Data Detection in Smart Grid Based on Fuzzy Time Series
- A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm
- Robust Adaptive Backstepping Control of the Induction Machine, Using Parallel Rotor Resistance and Stator Resistance Observer
- A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm
- Applying the SAC Algorithm to Extract the Cardiologic Indicators of an Athlete's Level
Revues de publication
- Communications in computer and information science × 8
- Progress in Artificial Intelligence × 5
- SSRN Electronic Journal × 5
- arXiv (Cornell University) × 2
- Research Square × 2
- Frontiers in Robotics and AI × 2
Publications par année
- 202610
- 202511
- 202410
- 20234
- 202212
- 20217
- 20202
- 20193
- 20183
- 20161
Collaborations
Établissements partenaires : École Marocaine des Sciences de l'Ingénieur · Laboratoire d’Informatique Signal et Image de la Côte d’Opale · Université Hassan II Mohammedia · Arts et Métiers · Université Toulouse-I-Capitole
Pays des co-auteurs : France · Espagne
Co-auteurs
- Soufiane Ameur
- Mohamed Tabaa
- Moncef Garouani
- Kaouter Karboub
- Oussama Hamed
- Ibtissam Youb
- Abdelkarim El Khantach
- Korota Arsène Coulibaly
- Amine Khatib
- Zineb Hidila
- Meryem Chaabi
- Alami Essaadoui
Données bibliographiques issues d’OpenAlex (base ouverte).
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