IEEE

A Unified Super-Resolution Framework of Remote-Sensing Satellite Images Classification Based on Information Fusion of Novel Deep Convolutional Neural Network Architectures

Abstract: Land-use and land-cover (LULC) classification is an active research challenge in the area of remotely sensed satellite images due to critical applications, such as resource management and ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
GitHub

Production-Ready YOLO Inference Engine for C++

YOLOs-CPP is a production-grade inference engine that brings the entire YOLO ecosystem to C++. Unlike scattered implementations, YOLOs-CPP provides a unified, consistent API across all YOLO versions ...
IEEE

Application of Quantitative Interpretability to Evaluate CNN-Based Models for Medical Image Classification

Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...