الرئيسية › دليل الباحثين › Mohamed Lazaar
Mohamed Lazaar
الانتماء : Mohammed V University
- 123منشورات (انتماء مغربي)
- 147مجموع المنشورات
- 1771الاستشهادات
- 20مؤشر h
الملف البحثي
لدى Mohamed Lazaar 123 منشور(ات) مفهرسة (2019–2026). تُنشر أعماله أساسًا في «Lecture notes in networks and systems»، «Procedia Computer Science» و«Engineering Research Express». أكثر مقالاته استشهادًا هو «Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network» (2021)، وقد استُشهد به 194 مرة. 58 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في فرنسا.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Recommender Systems and Techniques
- Network Security and Intrusion Detection
- Advanced Neural Network Applications
- Neural Networks and Applications
- Internet of Things and AI
المنشورات (123)
- An ensemble deep learning model based on graph neural networks for intelligent caching in next generation data centers
- A federated and transfer learning framework for high-accuracy, explainable intrusion detection in next-generation data centers
- Ontology-Driven Question Modeling for NLP in Chatbots: A Framework for Domain-Specific Interactions
- Comparative Analysis of Machine Learning Based Algorithms for Predicting Injury Severity in Road Accidents
- Human Activity Recognition Using MinLSTM in a Federated Learning Approach
- Enhancing Attack Detection in Internet of Medical Things Using CTGAN for Data Augmentation and Attention-Enhanced Bidirectional GRU Networks
- DyHuCoG: A Dynamic Hypergraph Cooperative Game for Preference-aware Recommendation
- Robust CNN-Based Threat Detection in SDN-Enabled IoT Networks
- A Switching Hybrid CNN-based Group Recommendation Framework for Edge Caching in Data Centers Using ConvSVD++ and Graph Convolutional Networks
- Efficient Edge Caching in Data Centers Using Latent Dirichlet Allocation and Hybrid Matrix Factorization With SVD++ and ALS
- Adaptive weighting hybrid deep learning with Savitzky-Golay filter and intrinsic mode functions for workload prediction in next-generation data centers
- A game-theoretic analysis of cybersecurity, performance, and pricing for resource sharing in federated cloud data centers
- A multi-layer machine learning analysis for injury severity prediction in bus crashes with position-aware risk profiling
- Integrating the Digital Twin into Elastic Cost Optimization for Legally Defensible Construction Schedule Management
- A two-level security-aware reactive caching for IoT-edge data centers using deep learning and hyperledger fabric blockchain-driven access control
- Frequency-Weighted BERT Token Embeddings for Consumer Sentiment Analysis
- Enhancing I-IoT against malicious intrusions through XGBoost
- From Local Convolution to Global Attention: An Architectural Comparison for Medical Image Segmentation
- Toward temporal stability in explainable AI: A framework for measuring explanation drift
- Using AI and NLP for Tacit Knowledge Conversion in Knowledge Management Systems: A Comparative Analysis
- Bridging Tacit Knowledge and Explicit Knowledge: An Ontological Model for Effective Knowledge Conversion
- Systematic Review and Framework for AI-Driven Tacit Knowledge Conversion Methods and Machine Learning Algorithms for Ontology-Based Chatbots in E-Learning Platforms
- Adaptive transfer learning using SegFormer for imbalanced pixel in medical image segmentation
- U‐Net‐Based Fetal Head Circumference Segmentation With Synthetic‐Driven Generation Data Augmentation
- Toward a New Approach for Internet of Things (IoT) Intrusion Detection Based on Feature Selection and Tabular Generative Adversarial Network
- Leveraging pretrained embeddings and self-attention based convolutional neural networks for early prediction of ventilator-associated pneumonia from clinical notes
- Active Learning and Adaptive Semi-Supervised Approach for Medical Image Segmentation
- Retinal Images Data Augmentation with GANs
- Advanced Product Recommender Systems Using Graph Neural Network
- Temporal Graph Neural Networks for Movie Recommendations
- Enhancing Graph Neural Networks with Active Learning and Self-Training for Autonomous Driving
- A Novel Multitasking Framework for Feature Selection in Road Accident Severity Analysis
- Enhancing tabular data analysis for classification of airline passenger satisfaction using TabNet deep neural network
- Optimizing data caching and placement in next-generation data centers using transformer and probabilistic matrix factorization
- Robust Intrusion Detection Framework Using Diffusion Model Data Augmentation and Hybrid Feature Selection
- Attack Identification in Industrial Control Systems Using TabNet
- Toward a New Approach Based on Conditional Tabular Generative Adversarial Network for Ransomware Attack Detection in IoT Systems
- An end-to-end learning approach for enhancing intrusion detection in Industrial-Internet of Things
- Review of Dental Diagnosis by Deep Learning Models: Trends, Applications and Challenges
- An explainable machine learning model for sentiment analysis of online reviews
- Towards a Deep Learning Approach for IoT Attack Detection Based on a New Generative Adversarial Network Architecture and Gated Recurrent Unit
- Security, QoS and energy aware optimization of cloud-edge data centers using game theory and homomorphic encryption: Modeling and formal verification
- Fine-tuned SegFormer for enhanced fetal head segmentation
- Realtime ransomware process detection using an advanced hybrid approach with machine learning within IoT ecosystems
- Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs
- Deep Learning Based Approach for Medical Image Segmentation: A Systematic Literature Review
- Anime Link Prediction Using Improved Graph Convolutional Networks
- Leveraging optuna for hyperparameter tuning in GANs: a novel solution for class imbalance in IoT datasets
- Stock Market Prediction Based on Advanced LSTM Models
- Enhancing Malicious Traffic Detection in IoT-Enabled SDN Using Convolutional Neural Network
- Enhancing Industrial-IoT Cybersecurity Through Generative Models and Convolutional Neural Networks
- Assessing the Evolution of Meteorological Seasons and Climate Changes Using Hierarchical Clustering
- Integrating Electronic Monitoring Systems with Artificial Intelligence for Sustainable Management of Depleting Marine Resources
- Artificial Intelligence for Energy and QoS-Aware Proactive Dynamic Virtual Machines Consolidation in Cloud-Edge Data Centres
- Electronic Monitoring Systems in Fisheries Worldwide
- A Privacy-Preserving Framework for Big Data Analytics in Edge-Cloud Data Centers
- Enhancing Dental Radiography: Teeth Instance Segmentation in Panoramic X-Rays
- Artificial intelligence for energy and QoS-aware proactive dynamic virtual machines consolidation in cloud-edge data centers
- Shapley Values for Explaining the Black Box Nature of Machine Learning Model Clustering
- Performance Evaluation of CNN and Pre-trained Models for Malware Classification
- An enhanced recommender system based on heterogeneous graph link prediction
- A Collaborative Filtering Movies Recommendation System based on Graph Neural Network
- Recommendation system using Deep Learning-based sentiment analysis
- Using Sentiment Analysis to Spot Trending Products
- Improving Deep Learning Performance Using Sampling Techniques for IoT Imbalanced Data
- A Novel Hybrid Architecture of Conditional Tabular Generative Adversarial Network and 1D Convolution Neural Network for Enhanced Attack Detection in IoT Systems
- Toward Improving Internet of Things (IoT) Networks Security Using Machine Learning Based Intrusion Detection System
- Link Prediction Using Graph Neural Networks for Recommendation Systems
- A Survey of Deep Learning Based Natural Language Processing in Smart Healthcare
- Enhanced Aircraft Time Delay Prediction Using Weighted Hybrid ML and Dimensionality Reduction
- Artificial Intelligence and Green Computing
- Fs-Tgan: An Enhanced Approach for Internet of Things (Iot) Intrusion Detection System Based on Feature Selection and Tabular Generative Adversarial Network
- Deep Learning Models for Medical Image Analysis in Smart Healthcare System: A Review
- Leveraging artificial intelligence and mutual authentication to optimize content caching in edge data centers
- Link Prediction Using Graph Neural Networks for Recommendation Systems
- Machine Learning with Nighttime Lights to Predict Morocco’s Gross Domestic Product
- Improving the Classification of Airplane Accidents Severity using Feature Selection, Extraction and Machine Learning Models
- Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection
- Improving Machine Learning Models for Malware Detection Using Embedded Feature Selection Method
- Effect of Features Extraction and Selection on the Evaluation of Machine Learning Models
- Review of the role of Artificial Intelligence in dentistry: Current applications and trends
- Machine Learning
- Proceedings of the 5th International Conference on Big Data and Internet of Things
- Deep Learning
- COMBINATION OF DEEP LEARNING MODELS TO FORECAST STOCK PRICE OF AAPL AND TSLA
- A Hybrid Machine Learning Method for Movies Recommendation
- Improved Content Based Filtering Using Unsupervised Machine Learning on Movie Recommendation
- Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network
- Artificial Intelligence for Healthcare: Roles, Challenges, and Applications
- A Comparative Study Between the Most Usable Object Detection Methods Based on Deep Convolutional Neural Networks
- Intelligent recommender system based on unsupervised machine learning and demographic attributes
- A Comprehensive Review of Artificial Intelligence Techniques in Financial Market
- Using Classic Networks for Classifying Remote Sensing Images: Comparative Study
- Investment of Classic Deep CNNs and SVM for Classifying Remote Sensing Images
- Performing of users' road safety at intelligent transportation systems
- Assessment Process-Reflection on Pedagogical Practices and Integration of Technologies in Education
- Novel Convex Polyhedron Classifier for Sentiment Analysis
- Integration of Principal Component Analysis and Recurrent Neural Network to Forecast the Stock Price of Casablanca Stock Exchange
- Collaborative Filtering Recommender System
- Impact of Feature selection on content-based recommendation system
مجلات النشر
- Lecture notes in networks and systems × 26
- Procedia Computer Science × 8
- Engineering Research Express × 4
- International Journal of Advanced Computer Science and Applications × 3
- Engineering Applications of Artificial Intelligence × 3
- International Conference on Intelligent Systems: Theories and Applications × 3
المنشورات حسب السنة
- 202619
- 202518
- 202421
- 202319
- 202210
- 20213
- 20207
- 20193
التعاون العلمي
المؤسسات الشريكة : Abdelmalek Essaâdi University · Sidi Mohamed Ben Abdellah University · Université Sultan Moulay Slimane · Université Ibn-Tofail · University of Hassan II Casablanca
بلدان المؤلفين المشاركين : فرنسا
المؤلفون المشاركون
- Mohammed Al Achhab
- Hicham Omara
- Oussama Mahboub
- Omar Habibi
- Mbarek Marwan
- Mohammed Chemmakha
- Abdelkarim Ait Temghart
- Yassine Afoudi
- Safae Hmaidi
- Mohamed Khaldi
- Niama Assia El Joudi
- Najoua Hrich
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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