IEEE

A Novel SHiP Vector Machine for Network Intrusion Detection

Abstract: In this paper, network intrusion detection is proposed using an improved version of the support vector machine model to detect DoS attacks. Here, the SVM model considers the weight parameter ...
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

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 ...