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 ...
News-Medical.Net

CNN-based system improves lung nodule detection and classification

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
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 ...