Maha Driss
Orcid: 0000-0001-8236-8746
According to our database1,
Maha Driss
authored at least 57 papers
between 2008 and 2024.
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Bibliography
2024
Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT).
Internet Things, April, 2024
IEEE Trans. Consumer Electron., February, 2024
Aspect Category Detection of Mobile Edge Customer Reviews: A Distributed and Trustworthy Restaurant Recommendation System.
IEEE Trans. Consumer Electron., February, 2024
Active Learning Empowered Sentiment Analysis: An Approach for Optimizing Smartphone Customer's Review Sentiment Classification.
IEEE Trans. Consumer Electron., February, 2024
Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications.
Inf. Fusion, January, 2024
CAAI Trans. Intell. Technol., 2024
On Similarity Measures of Complex Picture Fuzzy Sets With Applications in the Field of Pattern Recognition.
IEEE Access, 2024
Strengthening Network Intrusion Detection in IoT Environments with Self-supervised Learning and Few Shot Learning.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024
Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024
2023
Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis.
Sensors, October, 2023
FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics.
Internet Things, October, 2023
An Evidence Theory Based Embedding Model for the Management of Smart Water Environments.
Sensors, 2023
Efficient Storage Approach for Big Data Analytics: An Iterative-Probabilistic Method for Dynamic Resource Allocation of Big Satellite Images.
IEEE Access, 2023
CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Proceedings of the International Wireless Communications and Mobile Computing, 2023
Proceedings of the Advances in Computational Collective Intelligence, 2023
2022
A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations.
Wirel. Pers. Commun., 2022
IEEE Trans. Netw. Sci. Eng., 2022
Global outliers detection in wireless sensor networks: A novel approach integrating time-series analysis, entropy, and random forest-based classification.
Softw. Pract. Exp., 2022
Information Fusion in Autonomous Vehicle Using Artificial Neural Group Key Synchronization.
Sensors, 2022
A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks.
Sensors, 2022
SmartWater: A Service-Oriented and Sensor Cloud-Based Framework for Smart Monitoring of Water Environments.
Remote. Sens., 2022
Req-WSComposer: a novel platform for requirements-driven composition of semantic web services.
J. Ambient Intell. Humaniz. Comput., 2022
WS-ADVISING: a Reusable and reconfigurable microservices-based platform for effective academic advising.
J. Ambient Intell. Humaniz. Comput., 2022
Fusion of convolutional neural networks based on Dempster-Shafer theory for automatic pneumonia detection from chest X-ray images.
Int. J. Imaging Syst. Technol., 2022
Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images.
Int. J. Imaging Syst. Technol., 2022
CoRR, 2022
CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud Services.
IEEE Access, 2022
Microservices for Data Analytics in IoT Applications: Current Solutions, Open Challenges, and Future Research Directions.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
An Effective Detection and Classification Approach for DoS Attacks in Wireless Sensor Networks Using Deep Transfer Learning Models and Majority Voting.
Proceedings of the Advances in Computational Collective Intelligence, 2022
Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022
2021
Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions.
Sensors, 2021
An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification.
Remote. Sens., 2021
CoRR, 2021
GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide.
CoRR, 2021
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives.
CoRR, 2021
RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification.
Comput. Electron. Agric., 2021
A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity.
Comput. Biol. Medicine, 2021
Microservices in IoT Security: Current Solutions, Research Challenges, and Future Directions.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle imagery.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
SUBLμME: Secure Blockchain as a Service and Microservices-based Framework for IoT Environments.
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021
2020
Symmetry, 2020
Standalone noise and anomaly detection in wireless sensor networks: A novel time-series and adaptive Bayesian-network-based approach.
Softw. Pract. Exp., 2020
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions.
Comput. Sci. Rev., 2020
Servicing Your Requirements: An FCA and RCA-Driven Approach for Semantic Web Services Composition.
IEEE Access, 2020
2011
Approche multi-perspective centrée exigences de composition de services Web. (A multi-perspective requirement centric approach for Web service composition).
PhD thesis, 2011
Ingénierie des Systèmes d Inf., 2011
Proceedings of the iiWAS'2011, 2011
Proceedings of the IEEE International Conference on Web Services, 2011
2010
Proceedings of the Service Research Challenges and Solutions for the Future Internet - S-Cube, 2010
Proceedings of the Service-Oriented Computing - 8th International Conference, 2010
2008
Proceedings of the ECOWS 2008, 2008