HOUSNI Khalid
Email : housni.khalid@uit.ac.ma
Établissement : Faculté des sciences
Laboratoire : Recherche en Informatique
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📚 Publications Scopus — Total : 63
| Titre | Année | 🔗 Voir |
|---|---|---|
| V-NRF-LEACH: An Energy-Efficient and Fault-Tolerant Clustering Protocol for Wireless Sensor Networks | 2026 | 🔗 Voir |
| A Survey of Natural Language Processing Task for Amazigh: Achievement, Expectation and Perspective | 2026 | 🔗 Voir |
| Improved E-LEACH and RN-LEACH Protocols by Adjusting the Number of Rounds | 2026 | 🔗 Voir |
| The Career Agent AI: Bridging Education and Employment with Smart Recommendations | 2026 | 🔗 Voir |
| Proposal of a Contextual Model for Learning Path Recommendation | 2026 | 🔗 Voir |
| A Majority Voting Scheme in Wireless Sensor Networks for Network Intrusion Detection | 2026 | 🔗 Voir |
| A New Contextual Model to Overcome the Recommender Systems Issues: An Exploratory Study | 2026 | 🔗 Voir |
| Unveiling the reasons behind learners’ dropout from educational platforms: analyzing sentiment intensity throughout texts | 2025 | 🔗 Voir |
| TawjihiNavigator: a novel hybrid information retrieval system for educational guidance in Morocco | 2025 | 🔗 Voir |
| Integrating cGAN-Enhanced Prediction with Hybrid Intervention Recommendations Systems for Student Dropout Prevention | 2025 | 🔗 Voir |
| Self-Supervised Method for Risky Situation Detection in Road Traffic Sequences Using Video Masked Autoencoder | 2025 | 🔗 Voir |
| Efficient Enumeration of d-Minimal Paths Under Capacity Constraints: A Zero-Suppressed Decision Diagram Approach | 2025 | 🔗 Voir |
| AFL-BERT: Enhancing Minority Class Detection in Multi-Label Text Classification with Adaptive Focal Loss and BERT | 2025 | 🔗 Voir |
| Anomaly Detection Based on Vision Transformer Model and Texture Features | 2025 | 🔗 Voir |
| Constractive Multilabel Adaptation with Graph-Aware Transformers (CMAGT) | 2025 | 🔗 Voir |
| A Data-Driven Approach to Exploring Learner Input Preferences in E-Learning | 2025 | 🔗 Voir |
| Detection and localization of anomalous objects in video sequences using vision transformers and U-Net model | 2024 | 🔗 Voir |
| Comparative Analysis of Rule-Based Chatbot Development Tools for Education Orientation: A RAD Approach | 2024 | 🔗 Voir |
| A survey of autonomous vehicles for traffic analysis | 2024 | 🔗 Voir |
| Text classification supervised algorithms with term frequency inverse document frequency and global vectors for word representation: A comparative study | 2024 | 🔗 Voir |
| Abnormal Event Detection in Videos using LSTM Convolutional Autoencoder | 2024 | 🔗 Voir |
| Improvement of the LEACH Protocol by Acting on the Number of Rounds | 2024 | 🔗 Voir |
| Reassessing Glove Embeddings in Deep Learning: A Comparative Study with Classical ML Approaches | 2024 | 🔗 Voir |
| Performance Evaluation of Energy-Aware Routing Protocol Based EESAA in WSNs | 2024 | 🔗 Voir |
| Recommendation System for Personalized Contextual Pedagogical Resources Based on Learning Style | 2024 | 🔗 Voir |
| Explore the influence of contextual characteristics on the learning understanding on LMS | 2023 | 🔗 Voir |
| Comparative study of proactive and reactive routing protocols in vehicular ad-hoc network | 2023 | 🔗 Voir |
| Deep learning-based methods for anomaly detection in video surveillance: a review | 2023 | 🔗 Voir |
| Evaluations of Some Routing Protocols Metrics in VANET | 2023 | 🔗 Voir |
| A New Routing Method Based on Ant Colony Optimization in Vehicular Ad-hoc Network | 2023 | 🔗 Voir |
| Enhanced SH-CNN: Gender Prediction Based on Convolutional Neural Network | 2023 | 🔗 Voir |
| Fine-Tuning Pre-trained Vision Transformer Model for Anomaly Detection in Video Sequences | 2023 | 🔗 Voir |
| Efficient Autonomous Pathfinding Method for Virtual Environments | 2023 | 🔗 Voir |
| Vision Transformers: A Review of Architecture, Applications, and Future Directions | 2023 | 🔗 Voir |
| Enhancement in Quality of Routing Service in Vehicular ad-hoc Networks Based on the MPR Selection Algorithm of the OLSR Protocol | 2023 | 🔗 Voir |
| IoT Security Based on Smart Contracts: Classification of Algorithms, Complexity, Robustness and Fields of Application | 2023 | 🔗 Voir |
| Exploring Student Involvement in E-Learning | 2023 | 🔗 Voir |
| Enhancing Learner Resource Recommendations on LMS through Context and Learning Style Analysis | 2023 | 🔗 Voir |
| Context and Learning Style Aware Recommender System for Improving the E-Learning Environment | 2023 | 🔗 Voir |
| A New Hybrid Approach to Detect and Track Learner's Engagement in e-Learning | 2023 | 🔗 Voir |
| Evaluating multi-state systems reliability with a new improved method | 2022 | 🔗 Voir |
| Recommendation System Issues, Approaches and Challenges Based on User Reviews | 2022 | 🔗 Voir |
| New Automatic Hybrid Approach for Tracking Learner Comprehension Progress in the LMS | 2022 | 🔗 Voir |
| A Survey On Recent Algorithms For Multi-state System Exact Reliability Evaluation | 2022 | 🔗 Voir |
| Evaluating Systems Reliability With A New Method Based on Node Cutset | 2022 | 🔗 Voir |
| An Improved Algorithm to Search All d-MPs for a Multi-State Systems | 2020 | 🔗 Voir |
| New and efficient method to find all minimal paths | 2020 | 🔗 Voir |
| Enumeration of the minimal node cutsets based on necessary minimal paths | 2020 | 🔗 Voir |
| Online dictionary learning for car recognition using sparse coding and lars | 2020 | 🔗 Voir |
| New and fast algorithm to enumerate all minimal paths starting from s and t | 2020 | 🔗 Voir |
| An efficient method to find all d-MPs in multistate two-terminal networks | 2020 | 🔗 Voir |
| Automatic moving foreground extraction using random walks | 2019 | 🔗 Voir |
| Automatic foreground detection based on KDE and binary classification | 2019 | 🔗 Voir |
| An efficient algorithm for enumerating all minimal paths of a graph | 2019 | 🔗 Voir |
| Visual tracking using particle filter based on Gabor features | 2018 | 🔗 Voir |
| New and Fast Algorithm to Minimal Cutsets Enumeration Based on Necessary Minimal Paths | 2018 | 🔗 Voir |
| Automatic motion segmentation using random walks | 2017 | 🔗 Voir |
| Car make and model recognition using sparse coding and bag of features | 2017 | 🔗 Voir |
| Particle filter object tracking based on color histogram and gabor filter magnitude | 2017 | 🔗 Voir |
| Detection and recognition of road signs | 2017 | 🔗 Voir |
| Bayesian detection of moving object based on graph cut | 2016 | 🔗 Voir |
| Coherent motion detection and motion layers extraction of similar motion based on image feature points and graph cuts algorithm | 2012 | 🔗 Voir |
| Classification of high resolution urban satellite images combining SVM and graph cuts | 2010 | 🔗 Voir |