IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
InfoQ

Architecture in a Flow of AI-Augmented Change

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
MarketWatch

MicroCloud Hologram Inc. Improves Grover Algorithm to Achieve Dynamic Multi-Mode Search, Breakthrough in Quantum Circuit Simplification and FPGA Reconstruction

The MarketWatch News Department was not involved in the creation of this content. SHENZHEN, China, Oct. 23, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a ...
Morningstar

MicroCloud Hologram Inc. Improves Grover Algorithm to Achieve Dynamic Multi-Mode Search, Breakthrough in Quantum Circuit Simplification and FPGA Reconstruction

SHENZHEN, China, Oct. 23, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an improved quantum Grover algorithm for a ...
IEEE

Research on Prediction Model Based on Hybrid Algorithm of PSO-SVM Kernel Function

Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...
Ars Technica

Study: Social media probably can’t be fixed

It’s no secret that much of social media has become profoundly dysfunctional. Rather than bringing us together into one utopian public square and fostering a healthy exchange of ideas, these platforms ...
Hosted on MSN

Google Earth 3D Architecture Diagram [Quickest Method] Step-by-Step

Learn the quickest method to create stunning 3D architecture diagrams using Google Earth! This step-by-step tutorial is perfect for architects and designers who want fast, clear visuals for site ...
Hosted on MSN

Axonometric Architecture Diagram Tutorial: Quick & Easy – Beginner Level

Learn how to create clean and professional axonometric architecture diagrams with this quick and easy tutorial. Perfect for beginners who want to elevate their presentations and visual storytelling.
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 ...