The Manila Times

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...
IEEE

Granular-Ball Computing-Based Fuzzy Twin Support Vector Machine for Pattern Classification

Abstract: The twin support vector machine (TWSVM) classifier and its fuzzy variant fuzzy twin support vector machine (FTSVM) have received considerable attention due to their low computational ...
IEEE

Hybrid Convolutional Neural Network and Support Vector Machine Approaches for Enhanced Retinal Disease Classification

Abstract: Intervention in the form of treatment for patients with retinal tears is essential because such tears can progress to retinal detachment – a loss of vision. Retinal diseases encompass a host ...