Results 121 to 130 of about 5,764 (241)

Demodulation of Visible Light Communication based on Gaussian Support Vector Machine

Guangtongxin yanjiu
ObjectiveConsidering the nonlinear effects in Visible Light Communication (VLC) systems based on Orthogonal Frequency Division Multiplexing (OFDM), an advanced classification demodulation methodology based on Gaussian Support Vector Machines (Gaussian ...
XU Zizhen, LI Jianfeng, LIU Xiaoshuang
doaj  

An Improved DTC Scheme Based on Common-Mode Voltage Reduction for Three Level NPC Inverter in Induction Motor Drive Applications

Automation
Common-mode voltage (CMV) is a critical concern in motor drive applications employing multilevel inverters, as it can lead to significant issues such as high-frequency noise, electromagnetic interference, and motor bearing degradation.
Salma Jnayah, Zouhaira Ben Mahmoud, Thouraya Guenenna, Adel Khedher   +3 more
doaj   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Perceptual Priors Update Contextual Feedback Processing in V1

Topics in Cognitive Science, EarlyView.
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova, Yingying Huang, Lars F. Muckli, Lucy S. Petro   +3 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

FPGA Based Space Vector Modulation Strategy for the Three-Phase 7-Level Multiplexed Converter [PDF]

This paper presents the Space Vector Modulation (SVM) strategy for a three-phase 7-level multiplexed converter (3φ7L MLMXC) in high-power AC applications.
Baschera, Nicolas Eugenio, Di Benedetto, Marco, Lidozzi, Alessandro, Solero, Luca   +3 more
core   +1 more source

High‐throughput image‐based phenotyping of soybean hilum color

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune, Ali Heidari, Milad Eskandari   +2 more
wiley   +1 more source

Development and Application of Comprehensive Simulation Models for Current-Source Inverter Modulators

Applied Sciences
This paper provides an overview of existing theories on various modulation strategies for current-source inverters (CSI), particularly focusing on space vector modulation (SVM).
Gurhan Ertasgin, Erol Nikocevic
doaj   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, Volume 106, Issue 11, Page 6606-6616, 30 August 2026.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4079-4100, August 2026.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source