Yassine Himeur

Orcid: 0000-0001-8904-5587

According to our database1, Yassine Himeur authored at least 105 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Edge AI for Internet of Energy: Challenges and perspectives.
Internet Things, April, 2024

Novel area-efficient and flexible architectures for optimal Ate pairing on FPGA.
J. Supercomput., January, 2024

Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review.
CoRR, 2024

High-energy physics image classification: A Survey of Jet Applications.
CoRR, 2024

Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey.
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 State and Unknown Input Estimation for Synchronous Reluctance Motor Using Takagi-Sugeno Fuzzy Proportional Multi-Integral Observer.
IEEE Access, 2024

Energy-Efficient FPGA Based Sleep Apnea Detection Using EEG Signals.
IEEE Access, 2024

2023
Filter bubbles in recommender systems: Fact or fallacy - A systematic review.
WIREs Data. Mining. Knowl. Discov., November, 2023

High-order knowledge-based Discriminant features for kinship verification.
Pattern Recognit. Lett., November, 2023

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review.
J. Netw. Comput. Appl., November, 2023

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions.
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

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs).
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

Current Topological and Machine Learning Applications for Bias Detection in Text.
CoRR, 2023

Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs.
CoRR, 2023

Federated Learning for Computer Vision.
CoRR, 2023

Deep Learning for Diverse Data Types Steganalysis: A Review.
CoRR, 2023

A Comprehensive Review of Recent Research Trends on UAVs.
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

Topology-Aware GAN (TopoGAN): Transforming Medical Imaging Advances.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

Lifelong Machine Learning for Topic Modeling Based on Hellinger Distance.
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

Node localization in WSN using the slime mould algorithm.
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

Hybrid Whale-Mud-Ring Optimization for Precise Color Skin Cancer Image Segmentation.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Current Topological and Machine Learning Applications for Bias Detection in Text.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks.
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

Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

Improving CNN-based Person Re-identification using score Normalization.
Proceedings of the IEEE International Conference on Image Processing, 2023

Cross Data Analysis Platform based on Big Data Paradigm.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

ECG classification using Deep CNN and Gramian Angular Field.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022
Intelligent Edge-Based Recommender System for Internet of Energy Applications.
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

An Efficient Model for Horizontal Slicing in 5G Network using Practical Simulations.
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

Neural NILM Learning Paradigms: From Centralised to Decentralised Learning.
Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Recommendation System Towards Residential Energy Saving Based on Anomaly Detection.
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 Micro-Moment System for Domestic Energy Efficiency Analysis.
IEEE Syst. J., 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

Panoptic Segmentation: A Review.
CoRR, 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

The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings.
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

REHAB-C: Recommendations for Energy HABits Change.
Future Gener. Comput. Syst., 2020

Appliance-Level Monitoring with Micro-Moment Smart Plugs.
CoRR, 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

Building power consumption datasets: Survey, taxonomy and future directions.
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

Cloud Energy Micro-Moment Data Classification: A Platform Study.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Real-time personalised energy saving recommendations.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Efficient Multi-Descriptor Fusion for Non-Intrusive Appliance Recognition.
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

A model for predicting room occupancy based on motion sensor data.
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
Robust image transmission over powerline channel with impulse noise.
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

A Fast and Robust Key-Frames based Video Copy Detection Using BSIF-RMI.
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


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