Results 81 to 90 of about 6,293,684 (257)
Advanced Intelligent Discovery, EarlyView.An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Space Vector Modulation for an Indirect Matrix Converter with Improved Input Power Factor
Energies, 2017 Pulse width modulation strategies have been developed for indirect matrix converters (IMCs) in order to improve their performance. In indirect matrix converters, the LC input filter is used to remove input current harmonics and electromagnetic ...
Nguyen Dinh Tuyen, Phan Quoc Dzung
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source
Direct Vector Control of a DFIG Supplied by an Intelligent SVM Inverter for Wind Turbine System
Iranian Journal of Electrical and Electronic Engineering, 2019 This article presents an improved direct vector command (DVC) based on intelligent space vector modulation (SVM) for a doubly fed induction generator (DFIG) integrated in a wind turbine system (WTS).
H. Benbouhenni, Z. Boudjema, A. Belaidi
doaj
Franklin OpenThis paper presents optimized Space Vector Modulation (SVM) switching sequences for three-phase Voltage Source Inverter (VSI)-fed induction motor (IM) drives, focusing on harmonic suppression and switching loss reduction. With the growing demand for high-
B. Tulasi Rao +4 more
doaj +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 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
Advanced Intelligent Systems, EarlyView.A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
wiley +1 more source