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

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 ...
IEEE

Unified Twin Support Vector Machines for Large-Scale Pattern Classification

Abstract: Over the years, researchers have proposed numerous Twin Support Vector Machines (TSVM) variants aimed at addressing diverse challenges. These variants encompass sparse TSVM models, robust ...
Scientific Research Publishing

Hsu, C.W., Chang, C.C. and Lin, C.J. (2010) A Practical Guide to Support Vector Classification.

ABSTRACT: Artisanal and small-scale (ASM) gold mining activities contribute to the livelihoods of about 200,000 miners and their dependents in the eastern provinces of the Democratic Republic of the ...
Frontiers

Machine learning-based classification of seismic events: a case study of seismic events in Jilin Province, NE China

Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...