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381
Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management
Published 2024-12-01“…Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. …”
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382
Preparation of W–Cu composite with Cu-network structure via W-coated Cu powder structure optimization
Published 2025-05-01Get full text
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383
Optimal Coil Design and irDA-Based Communication Method for Auto-Guided Vehicles With Thermally Stable and High-Efficiency Operation
Published 2025-01-01“…In this paper, an optimal coil design methodology for inductive power transfer (IPT) systems is proposed, providing a systematic and practical approach for coil designers working with voltage-source-based series-series topologies. …”
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Informational Support for Agricultural Machinery Management in Field Crop Cultivation
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386
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387
A review of mixed-integer linear formulations for framework-based energy system models
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388
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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells
Published 2024-09-01“…In this paper, a Modified Particle Swarm Optimization (MPSO) method is proposed for maximum power point tracking (MPPT) to optimize the power output of Proton Exchange Membrane Fuel Cells (PEMFCs). …”
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390
Optimization of Collagen Extraction from Fish Scales Using Tris-Glycine Buffer: A Taguchi Methodological Approach
Published 2024-12-01“…Collagen, a critical biomaterial with wide applications in pharmaceuticals, cosmetics, and medical industries, can be sourced sustainably from fish scales. This study optimizes the extraction of collagen using Tris-Glycine buffer from fish scales via the Taguchi method. …”
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391
A Systematic Analysis of a Small-Scale HAWT Configuration and Aerodynamic Performance Optimization Through Kriging, Factorial, and RSM Methods
Published 2025-10-01“…This study explores the impact of design parameters, including rotor diameter, hub diameter, blade number, blade chord length distribution, twist angle distribution, and airfoil profile, on the turbine power coefficient. Subsequently, optimization efforts are applied to the results obtained for a 3-blade rotor with SG6043 airfoil profile using three distinct optimization methods: Kriging, factorial, and the classical polynomial Response Surface Method (RSM). …”
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392
Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network
Published 2025-02-01“…This study aims to address these limitations by developing an integrated approach combining swarm intelligence with ML and DL techniques for Alzheimer’s disease classification. <b>Method:</b> This proposal methodology involves sourcing Alzheimer’s disease-related MRI images and extracting features using convolutional neural networks (CNNs) and the Gray Level Co-occurrence Matrix (GLCM). …”
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396
Multi-period, Multi-contingency and Interval Optimal Power Flow for Dimensioning and Allocation of Spinning Reserve
Published 2025-07-01“…Abstract Due to their low environmental impact and decreasing costs, there has been significant growth in the use of renewable sources worldwide. However, their power generation fluctuates randomly, necessitating reliable energy supply methods. …”
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397
Photocatalytic Degradation of Acid Black 210 dye Using Fixed Bed Reactor Containing Zinc Oxide Nanoparticles: Effects and Box–Behnken Optimization
Published 2025-06-01“…SEM, EDAX, and FTIR procedures were among the characterization methods used on (NPs). The produced NPs had a specific surface area of 26 m2 /g and were discovered to be spherical and porous. …”
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398
Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP...
Published 2025-09-01“…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
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399
A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment
Published 2025-07-01“…The distinct advantages of quantum computing are innovatively integrated with the decision-making framework of Q-learning through this method. By harnessing the multi-information-carrying capacities of qubits, vast amounts of multi-source heterogeneous data generated during equipment operation can be efficiently processed. …”
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400