IEEE

Improved Intrusion Detection Model Using Moderated Autoencoder for Feature Selection and Optimized Softmax Regression for Multiclass Classification of Attacks

Abstract: Cybersecurity researchers have always reckoned with the improvement of intrusion detection models to detect the multivariate types of attacks perpetrated by cybercriminals using the ...
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 ...
IEEE

Real-Time Gumbel-Softmax Adaptive Thresholding for Robust Object Classification Under High Illumination Conditions

Abstract: This paper proposes a novel object classification system integrating a dual-imaging CMOS Image Sensor (CIS) with a real-time Gumbel-Softmax-based threshold selection module to address ...