IEEE

Explainable attention based BiLSTM-SVM for Software Requirement Classification: Integrating Generative Artificial Intelligence

Abstract: The human classification of software requirements, a difficult subjective process prone to inconsistencies and classification errors, is a major difficulty in software requirement ...
The Manila Times

Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
IEEE

Quantum Annealing based SVM Outperforms Classical SVM in Cloud Feature Remote Sensing Image Classification

Abstract: The increasing complexity and volume of remote sensing data necessitate advanced computational techniques for efficient and accurate image classification. This study explores the efficacy of ...
GitHub

IGN LiDAR HD Processing Library

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
GitHub

Multi-Niche Misinformation Detection

A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...