IIETA | Advancing the World of Information and Engineering

Biomedical Image Segmentation with Modified U-Net

Smart Energy Monitoring and Analysis Method Based on Image Recognition Technology

Multi-Grained Deep Cascade Learning for ECG Biometric Recognition

Multi-Modal Affective Computing: An Application in Teaching Evaluation Based on Combined Processing of Texts and Images

Non Invasive Decay Analysis of Monument Using Deep Learning Techniques

Automated Classification of Brain Tumor Disease with a Novel CNN Relief and SVM-Based Deep Hybrid Model

Classification of Brain Tumors from MR Images Using a New CNN Architecture

An Automatic Region Based Optimal Segmentation and Detection of Features on Dermoscopy Images Using V-Shaped Waterfall and Water Ridges

Exploiting JECAM Database for Agriculture Land Cover Classification of Antsirabe Site Using Sentinel 2 Imagery with Deep Learning

NAM-YOLOV7: An Improved YOLOv7 Based on Attention Model for Animal Death Detection

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