Business Insider

Intuitive Machines Selected by L3Harris to Support SDA Proliferated Warfighter Space Architecture Tranche 3 Tracking Layer

HOUSTON, March 03, 2026 (GLOBE NEWSWIRE) -- Intuitive Machines, Inc. (Nasdaq: LUNR) (“Intuitive Machines” or the “Company”), a leading space technology, infrastructure, and services company, today ...
IEEE

A Fuzzy Granular Support Vector Machine for Network Traffic Anomaly Detection

Abstract: To address the challenges in network anomaly detection, such as data label imbalance and the poor performance of traditional Support Vector Machines (SVM) in fitting high-dimensional, ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
IEEE

Support Vector Machine-Integrated High-Definition MCPWM Technique for Improving Power Quality in Multilevel Inverters

Abstract: What if machine learning could predict inverter harmonics before prototyping? Conventional pulse width modulation (PWM) techniques in cascaded H-bridge (CHB) multilevel inverters (MLIs) ...
Frontiers

Assessing the learning potential of freshmen in labor education courses using ordinal features and support vector machine

Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its application in ...
Scientific Research Publishing

Huang, X.L., Shi, L. and Suykens, J.A.K. (2014) Support Vector Machine Classifier with Pinball Loss. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 984-997.

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
Scientific Research Publishing

Guido, R., Ferrisi, S., Lofaro, D., & Conforti, D. (2024). An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review. Information ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.