Wadii Boulila

Orcid: 0000-0003-2133-0757

According to our database1, Wadii Boulila authored at least 144 papers between 2008 and 2024.

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Bibliography

2024
Leveraging Drone-Assisted Surveillance for Effective Forest Conservation: A Case Study in Australia's Daintree Rainforest.
IEEE Internet Things J., October, 2024

An approach based on performer-attention-guided few-shot learning model for plant disease classification.
Earth Sci. Informatics, August, 2024

Instrumentation for TMS-EEG Experiment: ArTGen and a Custom EEG Interface.
Int. J. Imaging Syst. Technol., July, 2024

Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT).
Internet Things, April, 2024

Privacy-Enhanced Pneumonia Diagnosis: IoT-Enabled Federated Multi-Party Computation in Industry 5.0.
IEEE Trans. Consumer Electron., February, 2024

Privacy Preserved and Decentralized Smartphone Recommendation System.
IEEE Trans. Consumer Electron., February, 2024

Industry 5.0 Enablers in Consumer Electronics Market Assessment Under T-Spherical Fuzzy Integrated Decision-Making Approach.
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

ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption.
Expert Syst. Appl., February, 2024

DTL-IDS: An optimized Intrusion Detection Framework using Deep Transfer Learning and Genetic Algorithm.
J. Netw. Comput. Appl., January, 2024

Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications.
Inf. Fusion, January, 2024

An effective weight initialization method for deep learning: Application to satellite image classification.
Expert Syst. Appl., 2024

A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting.
CoRR, 2024

A novel medical image data protection scheme for smart healthcare system.
CAAI Trans. Intell. Technol., 2024

On Similarity Measures of Complex Picture Fuzzy Sets With Applications in the Field of Pattern Recognition.
IEEE Access, 2024

UAVs and Blockchain Synergy: Enabling Secure Reputation-Based Federated Learning in Smart Cities.
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
An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant.
IEEE Trans. Intell. Transp. Syst., December, 2023

Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers.
Earth Sci. Informatics, December, 2023

TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks.
Comput. Networks, December, 2023

Toward Enhanced Geological Analysis: A Novel Approach Based on Transmuted Semicircular Distribution.
Symmetry, November, 2023

Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications - A comprehensive review.
Comput. Sci. Rev., November, 2023

HOMLC-Hyperparameter Optimization for Multi-Label Classification of Intrusion Detection Data for Internet of Things Network.
Sensors, October, 2023

EEDC: An Energy Efficient Data Communication Scheme Based on New Routing Approach in Wireless Sensor Networks for Future IoT Applications.
Sensors, October, 2023

Deep Neural Decision Forest (DNDF): A Novel Approach for Enhancing Intrusion Detection Systems in Network Traffic Analysis.
Sensors, October, 2023

A game theory approach for smart traffic management.
Comput. Electr. Eng., September, 2023

Early detection of red palm weevil infestations using deep learning classification of acoustic signals.
Comput. Electron. Agric., September, 2023

TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images.
Remote. Sens., May, 2023

A business intelligence based solution to support academic affairs: case of Taibah University.
Wirel. Networks, April, 2023

Machine Learning Analytic-Based Two-Staged Data Management Framework for Internet of Things.
Sensors, March, 2023

Vision Transformers in Image Restoration: A Survey.
Sensors, March, 2023

A Multi-Stage Deep-Learning-Based Vehicle and License Plate Recognition System with Real-Time Edge Inference.
Sensors, February, 2023

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder.
ACM Trans. Multim. Comput. Commun. Appl., 2023

An Evidence Theory Based Embedding Model for the Management of Smart Water Environments.
Sensors, 2023

Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph.
CoRR, 2023

Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competition.
CoRR, 2023

MAGRU-IDS: A Multi-Head Attention-Based Gated Recurrent Unit for Intrusion Detection in IIoT Networks.
IEEE Access, 2023

Grouped ABC for Feature Selection and Mean-Variance Optimization for Rule Mining: A Hybrid Framework.
IEEE Access, 2023

Exploring ChatGPT Capabilities and Limitations: A Survey.
IEEE Access, 2023

Efficient Storage Approach for Big Data Analytics: An Iterative-Probabilistic Method for Dynamic Resource Allocation of Big Satellite Images.
IEEE Access, 2023

Intelligent Scheduling Algorithms for the Enhancement of Drone-Based Innovative Logistic Supply Chain Systems.
IEEE Access, 2023

ABDNN-IDS: Attention-Based Deep Neural Networks for Intrusion Detection in Industrial IoT.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

The Power of Prognosis: Cox Model Prediction of Disease-Free Survival in Colon Cancer.
Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2023

Optimizing Forest Fire Prevention: Intelligent Scheduling Algorithms for Drone-Based Surveillance System.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics.
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

Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Interpretation of Immunofluorescence Slides by Deep Learning Techniques: Anti-nuclear Antibodies Case Study.
Proceedings of the Advances in Computational Collective Intelligence, 2023

Optimizing Fire Control Monitoring System in Smart Cities.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Contactless Breathing Waveform Detection Through RF Sensing: Radar vs. Wi-Fi Techniques.
Proceedings of the Tenth IEEE International Conference on Communications and Networking, 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

A Novel Model Based on Window-Pass Preferences for Data Emergency Aware Scheduling in Computer Networks.
IEEE Trans. Ind. Informatics, 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

A new color image encryption technique using DNA computing and Chaos-based substitution box.
Soft Comput., 2022

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.
Sensors, 2022

Mental Health Intent Recognition for Arabic-Speaking Patients Using the Mini International Neuropsychiatric Interview (MINI) and BERT Model.
Sensors, 2022

Information Fusion in Autonomous Vehicle Using Artificial Neural Group Key Synchronization.
Sensors, 2022

An Intelligent Sensor Based Decision Support System for Diagnosing Pulmonary Ailment through Standardized Chest X-ray Scans.
Sensors, 2022

SmartWater: A Service-Oriented and Sensor Cloud-Based Framework for Smart Monitoring of Water Environments.
Remote. Sens., 2022

Semantic Segmentation and Edge Detection - Approach to Road Detection in Very High Resolution Satellite Images.
Remote. Sens., 2022

A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images.
Remote. Sens., 2022

A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map.
Multim. Tools Appl., 2022

Req-WSComposer: a novel platform for requirements-driven composition of semantic web services.
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

A Hybrid Deep Learning Model for Brain Tumour Classification.
Entropy, 2022

A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records.
Entropy, 2022

Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms.
Ecol. Informatics, 2022

TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems.
Eng. Appl. Artif. Intell., 2022

Parking Analytics Framework using Deep Learning.
CoRR, 2022

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach.
CoRR, 2022

Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

An XGBoost-Based Approach for an Efficient RPL Routing Attack Detection.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 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
A Novel QoS-Oriented Intrusion Detection Mechanism for IoT Applications.
Wirel. Commun. Mob. Comput., 2021

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.
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

A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling.
Sensors, 2021

An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification.
Remote. Sens., 2021

Mining frequent approximate patterns in large networks.
Int. J. Imaging Syst. Technol., 2021

A novel CNN-LSTM-based approach to predict urban expansion.
Ecol. Informatics, 2021

Big data and IoT-based applications in smart environments: A systematic review.
Comput. Sci. Rev., 2021

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

Intrusion Detection using Machine Learning Techniques: An Experimental Comparison.
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

Fairness-Oriented Semichaotic Genetic Algorithm-Based Channel Assignment Technique for Node Starvation Problem in Wireless Mesh Networks.
Comput. Intell. Neurosci., 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

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models.
IEEE Access, 2021

An improved tile-based scalable distributed management model of massive high-resolution satellite images.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 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

A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing.
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

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

A Novel Privacy Approach of Digital Aerial Images Based on Mersenne Twister Method with DNA Genetic Encoding and Chaos.
Remote. Sens., 2020

Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions.
Comput. Sci. Rev., 2020

Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution.
IEEE Access, 2020

DNA and Plaintext Dependent Chaotic Visual Selective Image Encryption.
IEEE Access, 2020

Servicing Your Requirements: An FCA and RCA-Driven Approach for Semantic Web Services Composition.
IEEE Access, 2020

Ensemble Methods for Instance-Based Arabic Language Authorship Attribution.
IEEE Access, 2020

A Novel Approach for Classifying Diabetes' Patients Based on Imputation and Machine Learning.
Proceedings of the 2020 International Conference on UK-China Emerging Technologies, 2020

A Machine-Learning based Approach to Support Academic Decision-Making at Higher Educational Institutions.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

2019
Ensemble-Based Hybrid Context-Aware Misbehavior Detection Model for Vehicular Ad Hoc Network.
Remote. Sens., 2019

A top-down approach for semantic segmentation of big remote sensing images.
Earth Sci. Informatics, 2019

A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids.
Entropy, 2019

A Novel Multi-Stage Fusion based Approach for Gene Expression Profiling in Non-Small Cell Lung Cancer.
IEEE Access, 2019

Deep Learning-Based Rumor Detection on Microblogging Platforms: A Systematic Review.
IEEE Access, 2019

Des données Satellitaires aux Connaissances : Modélisation des Incertitudes, Analyse et Interprétation. (From Remote Sensing Data to Knowledge: Modelling Uncertainties, Analysis and Interpretation).
, 2019

2018
Reducing uncertainties in land cover change models using sensitivity analysis.
Knowl. Inf. Syst., 2018

A novel decision support system for the interpretation of remote sensing big data.
Earth Sci. Informatics, 2018

Corrigendum to "Propagating aleatory and epistemic uncertainty in land cover change prediction process" [Ecol. Inform. 37, 24-37].
Ecol. Informatics, 2018

A comparison of big remote sensing data processing with Hadoop MapReduce and Spark.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Towards an uncertainty reduction framework for land-cover change prediction using possibility theory.
Vietnam. J. Comput. Sci., 2017

Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model.
J. Comput. Sci., 2017

Propagating aleatory and epistemic uncertainty in land cover change prediction process.
Ecol. Informatics, 2017

2016
Improvement of satellite image classification: Approach based on Hadoop/MapReduce.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Sensitivity analysis of land cover change prediction model in the presence of aleatory and epistemic imperfection.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Improvement of LCC Prediction Modeling Based on Correlated Parameters and Model Structure Uncertainty Propagation.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Using Evidence Theory in Land Cover Change Prediction to Model Imperfection Propagation with Correlated Inputs Parameters.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

An Intelligent Possibilistic Approach to Reduce the Effect of the Imperfection Propagation on Land Cover Change Prediction.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Big Data: Concepts, Challenges and Applications.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

2014
A Probabilistic Collocation Method for the Imperfection Propagation: Application to Land Cover Change Prediction.
J. Multim. Process. Technol., 2014

Parameter and structural model imperfection propagation using evidence theory in land cover change prediction.
Proceedings of the International Image Processing, 2014

An Approach for Imperfection Propagation: Application to Land Cover Change Prediction.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
An Approach based on Adaptive Decision Tree for Land Cover Change Prediction in Satellite Images.
Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013

2012
Extraction de connaissances spatio-temporelles incertaines pour la prédiction de changements en imagerie satellitale. (Uncertain Spatiotemporal Knowledge Discovery for Change Prediction in Sateliite Imagery).
PhD thesis, 2012

High level adaptive fusion approach: application to land cover change prediction in satellite image databases.
Proceedings of the ACM Symposium on Applied Computing, 2012

2011
Combining Decision Fusion and Uncertainty Propagation to Improve Land Cover Change Prediction in Satellite Image Databases.
J. Multim. Process. Technol., 2011

Multi-Approach Satellite Images Fusion Based on Blind Sources Separation.
Int. J. Image Graph., 2011

A data mining based approach to predict spatiotemporal changes in satellite images.
Int. J. Appl. Earth Obs. Geoinformation, 2011

2010
Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

2008
Interpretation of Multisensor Remote Sensing Images: Multiapproach Fusion of Uncertain Information.
IEEE Trans. Geosci. Remote. Sens., 2008

Multiapproach System Based on Fusion of Multispectral Images for Land-Cover Classification.
IEEE Trans. Geosci. Remote. Sens., 2008


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