Frontiers

AI-driven prediction of the impermeable boundary in karst rock mass for optimized anti-seepage curtain design

Introduction: Accurately determining the bottom boundary of anti-seepage curtains is critical for ensuring the integrity and performance of this key engineered composite structure in karst reservoirs.
Frontiers

Research on fault prediction and speed control system for unmanned combine harvesters based on IPSO-SVM and fuzzy logic

1 School of Agricultural Engineering, Jiangsu University, Zhenjiang, China 2 Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment, Jiangsu University, Zhenjiang ...
Scientific Research Publishing

Erfani, S.M., Rajasegarar, S., Karunasekera, S. and Leckie, C. (2016) High-Dimensional and Large-Scale Anomaly Detection Using a Linear One-Class SVM with Deep Learning ...

ABSTRACT: Industrial appearance anomaly detection (AD) focuses on accurately identifying and locating abnormal regions in images. However, due to issues such as scarce abnormal samples, complex ...
News Medical

AI predicts preterm birth risk with 82% accuracy

Could AI predict preterm births before symptoms arise? A new study finds that machine learning models, especially SVMs, can assess risk with impressive accuracy—offering hope for earlier interventions ...
IEEE

Performance comparison of linear and nonlinear SVM methods under different datasets

Abstract: The support vector machine (SVM) is one of the most well-known supervised machine learning algorithms. SVM offers a variety of flexible kernel methods to suit different datasets from ...
IEEE

Binary Classification Using Linear SVM Pyramidal Tree

Abstract: This paper presents a linear SVM (Support Vector Machine) Pyramidal Tree (SVMPT) for binary classification tasks. SVMPT is a modified version of SVM based Tree Type Neural Networks (SVMTNN), ...