Maha Driss

Orcid: 0000-0001-8236-8746

According to our database1, Maha Driss authored at least 49 papers between 2008 and 2024.

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

Timeline

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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

Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications.
Inf. Fusion, January, 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

Distributed Twins in Edge Computing: Blockchain and IOTA.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

LSTM-Based QoE Evaluation for Web Microservices' Reputation Scoring.
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

A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis.
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

COVIBOT: A Smart Chatbot for Assistance and E-Awareness during COVID-19 Pandemic.
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
Future Forecasting of COVID-19: A Supervised Learning Approach.
Sensors, 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

Evolution of Target Localization in Wireless Sensor Network (WSN): A Review.
CoRR, 2021

GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide.
CoRR, 2021

Voting Classifier-based Intrusion Detection for IoT Networks.
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

A Deep Learning-based Approach for Real-time Facemask Detection.
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
A Systematic Literature Review on Outlier Detection in Wireless Sensor Networks.
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

Une approche centrée exigences pour la composition de services web.
Ingénierie des Systèmes d Inf., 2011

A multi-perspective approach for web service composition.
Proceedings of the iiWAS'2011, 2011

Selection of Composable Web Services Driven by User Requirements.
Proceedings of the IEEE International Conference on Web Services, 2011

2010
Analytical Quality Assurance.
Proceedings of the Service Research Challenges and Solutions for the Future Internet - S-Cube, 2010

A Requirement-Centric Approach to Web Service Modeling, Discovery, and Selection.
Proceedings of the Service-Oriented Computing - 8th International Conference, 2010

2008
A Discrete-Events Simulation Approach for Evaluation of Service-Based Applications.
Proceedings of the ECOWS 2008, 2008


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