Health Discovery Corp.

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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.
eeworldonline

Why inverter designers need to understand space vector modulation

Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest) for Medical Diagnosis

This project demonstrates the application of various machine learning algorithms for heart disease classification. By comparing the performance of SVM, MLP, and Random Forest models, we can determine ...
IEEE

Advanced SVM and KNN Algorithms for Fault Detection in Power Transformers based on Dissolved Gas Analysis

Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
IEEE

Life Prediction Modeling and Accuracy Verification of Photoelectric Products: A Combination of PSO-SVM and Accelerated Luminance Attenuation

Abstract: Intelligence algorithms used to predict the conventional life of photoelectric products significantly reduce the time and cost of product life test, which is a popular life evaluation method ...
Scientific Research Publishing

Keerthi, S.S. (2002) Efficient Tuning of SVM Hyperparameters Using Radius/Margin Bound and Iterative Algorithms. IEEE Transactions on Neural Networks, 13, 1225-1229.

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...
Searchenginejournal.com

Google’s New MUVERA Algorithm Improves Search

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...