Yassine Himeur
Orcid: 0000-0001-8904-5587
According to our database1,
Yassine Himeur
authored at least 134 papers
between 2014 and 2025.
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Bibliography
2025
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey.
Inf. Fusion, 2025
Inf. Fusion, 2025
Image encoding and wearable sensors-based locomotion mode recognition using convolutional recurrent neural networks.
Biomed. Signal Process. Control., 2025
2024
Enhancing plant disease detection: a novel CNN-based approach with tensor subspace learning and HOWSVD-MDA.
Neural Comput. Appl., December, 2024
Future Internet, August, 2024
Internet Things, April, 2024
A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses.
Comput., April, 2024
GFLASSO-LR: Logistic Regression with Generalized Fused LASSO for Gene Selection in High-Dimensional Cancer Classification.
Comput., April, 2024
From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions.
Big Data Cogn. Comput., April, 2024
J. Supercomput., January, 2024
An Efficient Spectral Approach for JCR Narrow Band Signals in Presence of Multipath and Noise.
IEEE Open J. Commun. Soc., 2024
Exploring the Potential of Deep-Learning and Machine-Learning in Dual-Band Antenna Design.
IEEE Open J. Comput. Soc., 2024
IEEE Open J. Comput. Soc., 2024
Inf. Fusion, 2024
Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions.
Neurocomputing, 2024
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets.
Frontiers Artif. Intell., 2024
Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs.
Expert Syst. Appl., 2024
A hybrid multilinear-linear subspace learning approach for enhanced person re-identification in camera networks.
Expert Syst. Appl., 2024
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI.
CoRR, 2024
CoRR, 2024
Enhancing Plant Disease Detection: A Novel CNN-Based Approach with Tensor Subspace Learning and HOWSVD-MD.
CoRR, 2024
CoRR, 2024
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities.
CoRR, 2024
Interference Management Based on Meta-Heuristic Algorithms in 5G Device-to-Device Communications.
Comput., 2024
Enhanced Fault Diagnosis in Grid-Connected Photovoltaic Systems: Leveraging Transfer Learning and Ensemble Methods for Superior Accuracy.
IEEE Access, 2024
Knowledge Pre-Trained CNN-Based Tensor Subspace Learning for Tomato Leaf Diseases Detection.
IEEE Access, 2024
Dual Loop FOPI Controller-Based Equilibrium Optimizer Tuning Approach for Three-Phase Interleaved Boost Converter: PEMFC HEVs.
IEEE Access, 2024
IEEE Access, 2024
Enhanced State and Unknown Input Estimation for Synchronous Reluctance Motor Using Takagi-Sugeno Fuzzy Proportional Multi-Integral Observer.
IEEE Access, 2024
MEMS-Based Microheater With Virtual Reality for Enhanced Thermal Feedback in Medical Applications.
IEEE Access, 2024
IEEE Access, 2024
Proceedings of the 11th International Conference on Wireless Networks and Mobile Communications, 2024
Simulated annealing for resource and power allocation in 5G and B5G D2D communications.
Proceedings of the 6th International Conference on Pattern Analysis and Intelligent Systems, 2024
Predicting Asthma Attacks Through AI-Powered Thermal Imaging Analysis of Breathing Patterns.
Proceedings of the 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, 2024
Very Low-Resolution Face Recognition Based On Multilinear Side-Information Based Discriminant Analysis.
Proceedings of the 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, 2024
2023
WIREs Data. Mining. Knowl. Discov., November, 2023
Pattern Recognit. Lett., November, 2023
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review.
J. Netw. Comput. Appl., November, 2023
Syst., October, 2023
Deep transfer learning for automatic speech recognition: Towards better generalization.
Knowl. Based Syst., October, 2023
Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
Using big data and federated learning for generating energy efficiency recommendations.
Int. J. Data Sci. Anal., September, 2023
Syst., August, 2023
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives.
Artif. Intell. Rev., June, 2023
IoT-Enabled Precision Agriculture: Developing an Ecosystem for Optimized Crop Management.
Inf., April, 2023
From time-series to 2D images for building occupancy prediction using deep transfer learning.
Eng. Appl. Artif. Intell., March, 2023
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization.
Eng. Appl. Artif. Intell., March, 2023
An innovative deep anomaly detection of building energy consumption using energy time-series images.
Eng. Appl. Artif. Intell., March, 2023
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic.
Syst., February, 2023
Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence.
Frontiers Artif. Intell., February, 2023
The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase.
Frontiers Artif. Intell., February, 2023
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations.
Eng. Appl. Artif. Intell., 2023
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features.
CoRR, 2023
Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs.
CoRR, 2023
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality.
CoRR, 2023
Deep Transfer Learning Applications in Intrusion Detection Systems: A Comprehensive Review.
CoRR, 2023
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives.
CoRR, 2023
The Critical Role of Homotopy Continuation in Robotic-Assisted Surgery - Future Perspective.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Quadrotor Experimental Dynamic Identification with Comprehensive NARX Neural Networks.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
An Intelligent Edge-Deployable Indoor Air Quality Monitoring and Activity Recognition Approach.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023
2022
IEEE Syst. J., 2022
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives.
Inf. Fusion, 2022
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions.
Int. J. Intell. Syst., 2022
Deep and transfer learning for building occupancy detection: A review and comparative analysis.
Eng. Appl. Artif. Intell., 2022
Blockchain-based recommender systems: Applications, challenges and future opportunities.
Comput. Sci. Rev., 2022
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives.
Comput. Secur., 2022
Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022
A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022
Smart Speed Camera Based on Automatic Number Plate Recognition for Residential Compounds and Institutions Inside Qatar.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022
2021
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects.
Inf. Fusion, 2021
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency.
Int. J. Intell. Syst., 2021
Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors.
Int. J. Intell. Syst., 2021
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals.
Int. J. Intell. Syst., 2021
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier.
CoRR, 2021
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization.
Proceedings of the Networking, Intelligent Systems and Security, 2021
Proceedings of the Intelligent Systems and Applications, 2021
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments.
Proceedings of the BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, 2021
2020
Hybrid forward error correction coding efficiency for MIMO-PLC with symmetric alpha-stable noise.
Telecommun. Syst., 2020
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations.
Inf. Fusion, 2020
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency.
CoRR, 2020
Anomaly detection of energy consumption in buildings: A review, current trends and new perspectives.
CoRR, 2020
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional.
CoRR, 2020
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition.
CoRR, 2020
CoRR, 2020
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks.
Cogn. Comput., 2020
Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations.
IEEE Access, 2020
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring.
Proceedings of the Intelligent Systems and Applications, 2020
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE International Conference on Informatics, 2020
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020
2019
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2019
2018
A robust and secure key-frames based video watermarking system using chaotic encryption.
Multim. Tools Appl., 2018
Robust video copy detection based on ring decomposition based binarized statistical image features and invariant color descriptor (RBSIF-ICD).
Multim. Tools Appl., 2018
Impulsive noise reduction through OFDM-based PLC using a new adaptive recursive noise compensator.
Int. J. Ad Hoc Ubiquitous Comput., 2018
2017
Multim. Tools Appl., 2017
An efficient impulsive noise cancellation scheme for power-line communication systems using ANFIS and chaotic interleaver.
Digit. Signal Process., 2017
2016
OFDM-based power-line communication enhancement using a turbo coded adaptive impulsive noise compensator.
Telecommun. Syst., 2016
Performance of turbo-coded chaotic interleaving and frequency-domain equalization scheme for high speed OFDM-based PLC systems.
J. Frankl. Inst., 2016
Adaptive noise clipping-based hybrid progressive median filter for image transmission over top-down powerline communication.
Int. J. Commun. Networks Distributed Syst., 2016
2015
A Rotation Invariant BSIF Descriptor for Video Copy Detection Using a Ring Decomposition.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015
Joint color and texture descriptor using ring decomposition for robust video copy detection in large databases.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015
Powerline communication performance using FFT/DWT/WPT-based OFDM systems and chaotic interleaving.
Proceedings of the IPAC '15: International Conference on Intelligent Information Processing, 2015
2014
Noise Mitigation over Powerline Communication Using LDPC-Convolutional Code and Fusion of Mean and Median Filters.
Proceedings of the SIGMAP 2014, 2014
Proceedings of the SIGMAP 2014, 2014
Performance Enhancement of Indoor Powerline Communication Using Improved Error Correction Codes.
Proceedings of the E-Business and Telecommunications - 11th International Joint Conference, 2014