IEEE

Instance-Dependent Multilabel Noise Generation for Multilabel Remote Sensing Image Classification

Abstract: Multilabel remote sensing image classification is a fundamental task that classifies multiple objects and land covers within an image. However, training deep learning models for this task ...
IEEE

AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise

Abstract: Capsule networks (CapsNet) are a pioneering architecture that can encode image features into vectors rather than scalars, addressing the limitations of traditional Convolutional Neural ...
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

ASTM Noise Analysis Tool

Version 3.2.0 - A Python-based tool for analyzing noise in lamp data according to ASTM standards. This release adds macOS/Linux helpers, enforces wheel-only installs, and keeps the same GUI/reporting ...