Intelligent Systems and Pattern Recognition

.- Deep Learning Approach for Tunisian Postal Address Segmentation.

.- Leveraging DQN-Based Recommender Systems for E-Commerce in Smart Cities.

.- Empowering Healthcare with Deep Learning: An Application for Early Detection of Skin Cancer.

.- GAN-Enhanced Deep Learning Approach for Forecasting the Potentially Toxic Cyanobacteria in Dams.

.- Adaboost optimized by sinh cosh algorithm for prediction of software defects.

.- Prediction of Chronic Diseases using Parallel 1D-CNN Feature Extraction and SVM Classification based on SMOTE.

.- Interpretable Ensemble Learning Model For Enabling An IDS To Detect DNS Attacks.

.- An Improved Static Analysis Approach for Malware Detection by Optimizing Feature Extraction Combining Different ML Algorithms.

.- Deep learning algorithms for colon cancer detection: A comparative study with traditional machine learning methods.

.- Diabetic Retinopathy Grade Assessment using ResNetRS.

.- Novel hybrid feature selection method and globalization technique for text classification.

.- Applying Machine Learning Approaches with Integrated Internet of Things for Water Management System.

.- Implementation of a comparative study of convolutional neural network architectures for image blind noise elimination.

.- Structuring and Text Summarization of Indian Legal Documents.

.- Photovoltaic Cell Defect Classification Using Attention U-Net Image Segmentation.

.- Ulcerative Colitis Image Classification using Federated Deep Learning.

.- Accelerating Traditional Object Detection Methods on Sophisticated Embedded Systems.

.- Detecting Raspberry Ripeness Across Different Growth Stages Using YOLOv8.

.- Air Quality Forecasting in Presence Missing Data.

.- Image Encryption in Frequency Domain using Hybrid Chaotic Maps, Hashing, and Lifting Wavelet Transform.

.- Detection and parameter estimation of an inflatable boat.

.- Self-Attention Siamese Network for Unsupervised Few-Shot Learning Tasks.

.- Comparative study using ensemble methods and sampling techniques for imbalanced diabetes data.

.- Advanced Deep Learning Techniques for Accurate Detection of Wheat Leaf Diseases.

.- Enhancing Tomato Crop Health: Leveraging Modified InceptionResNetV2 for Disease Detection.

.- BA-GAN: A Boundary-Aware Generative Adversarial Network for Document Restoration.