GitHub

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification

DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
The Manila Times

Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning ...

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 ...
GitHub

NghiaNT20/Driver-Monitoring-System

Hệ thống sử dụng AI và Computer Vision để phát hiện tình trạng buồn ngủ của lái xe theo thời gian thực: ...
IEEE

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

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 ...
IEEE

Hybrid Deep Learning Model: Weather Classification Using ResNet-50 and SVM

Abstract: Correct weather condition classification is crucial in intelligent applications such as autonomous cars, smart surveillance, and environmental monitoring. In this paper, a hybrid deep ...