Results 171 to 180 of about 13,817 (251)

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

Energy Science &Engineering, Volume 14, Issue 6, Page 2816-2838, June 2026.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian, Jun‐Bo Mao, Nurkhat Zhakiyev, Didar Yedilkhan, Ruslan Omirgaliyev, Du Changdong, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, Volume 14, Issue 6, Page 2961-2982, June 2026.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Counterfeit Citri Reticulatae Pericarpium Identification: Multi‐Class Detection Using Vis/NIR Spectroscopy and Residual Neural Networks

Food Science &Nutrition, Volume 14, Issue 6, June 2026.
Citri Reticulatae Pericarpium (CRP) samples undergo authentic processing through natural air drying and preservation, whereas counterfeit CRP can be produced through high‐temperature treatment, chemical agents, dyeing, or acid–alkali processing. Vis/NIR spectral analysis combined with WGAN‐GP augmentation and Inception‐ResNet classification captures ...
Chao Ma, Mingkun Zhang, Jianwei Ma, Sudan Chen, Yunxia Yuan, Mingtong Du, Zhiyong Dai   +6 more
wiley   +1 more source

Two Flavones as Markers for the Distinction of Natural Acacia Honey Based on the UHPLC‐QE‐MS Method and Research on Their Potential Immunomodulatory Activity

Food Science &Nutrition, Volume 14, Issue 6, June 2026.
This study systematically compared the quality characteristics and immunomodulatory activities of natural and commercial honey. A comprehensive strategy combining physicochemical determination, SPE‐UPLC‐Q‐Exactive Orbitrap MS‐based metabolomics, and machine learning‐assisted chemometrics was established to screen differential biomarkers. Hesperetin and
Bingkang Wang, Min Hua, Yuecheng Liu, Meng Li, Ning Zhang, Yi Wu, Qi Gao, Hongfu Sun, Yanpeng Dai, Meng Zhou, Qian Zhou   +10 more
wiley   +1 more source

A multimodal mutual information‐guided feature selection framework for predicting rehabilitation response in Parkinson's disease with postural instability and gait disorder

Journal of Intelligent Medicine, Volume 3, Issue 2, Page 140-151, June 2026.
A mutual information–guided sequential forward selection framework applied to multimodal baseline data identified key EEG and MRI features, which showed robust predictive performance across multiple machine learning models. Abstract Postural instability and gait disorder (PIGD) subtype of Parkinson's disease (PD) is marked by heterogeneous motor and ...
Yu Shi, Hongbo Zhao, Deyu Wang, Jun Pang, Hanna Lu, Xiaodong Zhu, Lin Meng   +6 more
wiley   +1 more source

Quality Assessment and Predictive Modeling of Chickpea, Lentil and Camelina Yield: Effects of Nitrogen, Irrigation, Rainfed Conditions, and Intercropping Using Machine Learning Approaches

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Given increasing water scarcity, the need to reduce chemical inputs, and the growing demand for nutritionally valuable vegetable oils, identifying sustainable cropping systems for camelina production has become increasingly important. This study aimed to evaluate the combined effects of nitrogen application, irrigation regimes (irrigated and ...
Shahzad Jamaati Somarin, Elmira Mohammadvand, Gholamreza Mohsenabadi, Majid Majidian   +3 more
wiley   +1 more source

Advancing Canning Quality in Common Beans: An Integrated Farm‐to‐Can Framework Combining Breeding, Processing, and Artificial Intelligence

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour, Biniam Kebede, Mohsen Yoosefzadeh‐Najafabadi   +2 more
wiley   +1 more source

Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation

Materials Genome Engineering Advances, Volume 4, Issue 2, June 2026.
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang, Tianwen Chen, Yongjing Wu, Fuzhu Liu, Yaping Wang, Zhimao Yang, Shengchun Yang   +6 more
wiley   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, Volume 6, Issue 2, Page 327-343, June 2026.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

Hand‐Specific Engagement of Cerebello–Thalamo–Cortical and Higher‐Order Sensorimotor Networks in Essential Tremor: Converging Evidence From GLM and MVPA‐Based fMRI Analysis

European Journal of Neurology, Volume 33, Issue 6, June 2026.
Essential tremor (ET) was investigated using task‐based fMRI during right‐ and left‐hand finger‐tapping in combination with univariate GLM and searchlight MVPA. ET patients exhibited hand‐specific differences in cerebello–thalamo–cortical and higher‐order sensorimotor engagement, with reduced thalamic and right supramarginal involvement compared to ...
Alma S. Torres‐Torres, Jelle R. Dalenberg, A. M. Madelein van der Stouwe, Bauke M. de Jong, Remco J. Renken, Giorgia Sciacca, Marina A. J. Tijssen   +6 more
wiley   +1 more source