Results 81 to 90 of about 5,262,248 (269)
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors [PDF]
Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with respect to competing techniques. Often, the solution of an SVM is obtained by switching to the dual.
Groenen, P.J.F. +2 more
core
Advanced Intelligent Discovery, EarlyView.Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Majlesi Journal of Electrical EngineeringIn this paper, the direct torque control torque based on space vector modulation (DTC-SVM) for permanent magnet synchronous generator connected to the variable-speed wind power generation system will be discussed.
Alireza Siadatan +2 more
doaj
IEEE Access, 2019 Model Predictive Control (MPC) with a finite control set and space vector modulation (SVM) are the most common control methods for the matrix converters (MCs).
Zahra Malekjamshidi +3 more
doaj +1 more source
Descriptive temporal template features for visual motion recognition [PDF]
, 2009 Copyright © 2009 Elsevier B.V. All rights reserved.In this paper, a human action recognition system is proposed. The system is based on new, descriptive ‘temporal template’ features in order to achieve high-speed recognition in real-time, embedded ...
Meng, H, Pears, N
core +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
SPEED CONTROL OF DTC-SVM FOR INDUCTION MOTOR DRIVE USING SELF-TUNING FUZZY PI CONTROLLER ANN ANFIS
Al-Qadisiyah Journal for Engineering Science, 2018 This paper deals with the performance analysis of three phase Induction Motor (IM) with Direct Torque Control based Space Vector Modulation (DTC-SVM). The DTC-SVM scheme is a kind of high-performance control of IM drives to improve the ripples of torque ...
Rawaa Kadhim Sakran +1 more
doaj
World Electric Vehicle JournalElectric vehicles demand efficient and robust motor control to maximize range and performance. This paper presents an innovative adaptive fractional-order sliding mode (FO-SM) control approach tailored for Direct Torque Control with Space Vector Modulation (DTC-SVM) applied to induction motor drives.
Fatma Ben Salem +2 more
openaire +2 more sources
Turbo Detection of Precoded Sphere Packing Modulation Using Four Transmit Antennas for Differential Space-Time Spreading [PDF]
, 2008 This paper presents a novel turbo-detected multidimensional Sphere Packing (SP) modulation scheme using four transmit antennas combined with Differentially encoded Space-Time Spreading (DSTS). The DSTS scheme can be readily combined with PSK, QAM as well
Alamri, Osamah +3 more
core +1 more source