Results 71 to 80 of about 269,671 (328)
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Rice is the main staple food for more than half of the world's population and the income from rice is an essential source for livelihoods of millions of households. We examine whether direct seed in rice production is an adaptation of rice farmers to rainfall changes and farm labor scarcity.
Manh Hung Do
wiley +1 more source
Prediction Method for Carbon Storage in Substation Based on Uncertain Parameters
Zhongguo dianliThe SF6 gas volume data from the PMS system is incomplete and contains significant errors, rendering it inadequate for power grid enterprises to calculate carbon reserves and formulate carbon planning for future substations. To address this problem, this
Siyang CHEN +7 more
doaj +1 more source
An adaptive mutation operator for particle swarm optimization [PDF]
, 2008 Copyright @ 2008 MICParticle swarm optimization (PSO) is an effcient tool for optimization and search problems. However, it is easy to betrapped into local optima due to its in-formation sharing mechanism.
Korejo, I, Li, C, Yang, S
core
AIChE Journal, EarlyView.Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu +3 more
wiley +1 more source
Energies, 2020 The traditional vehicle power supply is unable to meet the power requirement of electric power steering system (EPS) in heavy-duty vehicles at low speeds.
Bin Tang +3 more
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Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Substation Equipment 3D Identification Based on KNN Classification of Subspace Feature Vector
Journal of Intelligent Systems, 2017 Aiming to realize rapid and efficient three-dimensional (3D) identification of substation equipment, this article proposes a new method in which the 3D identification of substation equipment is based on K-nearest neighbor (KNN) classification of subspace
Guo Weiying, Ji Yong, Luo Yong, Zhou Yan
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Comparison Performances of PSO and GA to Tuning PID Controller for the DC Motor
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019 A DC motor widely uses for sensitivespeed and position in industry. Stability and productivity of a system areimportant for controlling of a DC motor speed. Stable of speed which affectedfrom load fluctuation and environmental factors.
Harun Yazgan +3 more
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A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]
E3S Web of Conferences, 2019 Pareto joint inversion for two or more data sets is an attractive and promising tool which eliminates target functions weighing and scaling, providing a set of acceptable solutions composing a Pareto front.
Danek Tomasz +3 more
doaj +1 more source