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End-Milling of GFRP Composites with A Hybrid Method for Multi-Performance Optimization
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5923
Application of GA-ACO Optimized BP Neural Network in Fault Diagnosis of Planetary Gearbox
Published 2021-03-01Get full text
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5924
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5925
Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg...
Published 2024-12-01“…In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. Back propagation neural network (BPNN), which has been rarely investigated in previous work, is used to construct regression models, the performances of which are compared with models using random forest (RF) and partial least squares regression (PLSR). …”
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5926
A new finite difference algorithm for boundary value problems involving transmission conditions
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5927
Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques
Published 2025-05-01“…The weights for this combination were optimized using the genetic algorithm and the Q-learning algorithm, aiming to minimize loss and maximize accuracy. …”
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5928
Analysis of loss probabilities on the call level and packet level in a multi-rate system
Published 2007-01-01“…A systematic research on the performance analysis on the call level and the packet level in a system with multi-rate VBR services was made.According to the global balance condition of a multi-dimensional Markov chain,an algorithm of accurately evaluating the probability distribution of on-line connections of each service type in a system with partial sharing policy was proposed.Further,the call blocking probability and the packet loss probability were ob-tained.Simulation results show that the algorithm is accurate.…”
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5929
Maximizing information in neuron populations for neuromorphic spike encoding
Published 2025-01-01“…This work proposes an approach based on maximizing the mutual information between the signal and the spikes in the population of neurons. The proposed algorithm is inspired by the information-theoretic framework of Partial Information Decomposition. …”
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5930
Laser marking method for nonferrous metal casting ingots based on improved RANSAC algorithm
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5931
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Modeling of CO2 solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network
Published 2025-01-01“…Its topology was structured as 4-10-1 for predicting CO2 solubility and 4-5-1 for predicting CO2 partial pressure. The accuracy of the predictions was notably high, with coefficients of determination of 0.99581 for CO2 solubility and 0.99839 for CO2 partial pressure, achieved using the Levenberg-Marquardt algorithm. …”
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5934
Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems
Published 2024-11-01“…Therefore, controlling MPPT under partial shading conditions is a complex task. OBJECTIVES: This study aims to introduce a novel MMPT algorithm based on the ant colony incorporated bald eagle search optimization (AC-BESO) method to enhance the efficiency of PV systems. …”
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5935
Disjunctive and conjunctive decompositions of incompletely defined Boolean functions in a Binary Decision Diagram
Published 2025-03-01“…The application of the proposed algorithms and already known algorithms for minimizing multilevel BDD representations of partial function systems allows us to obtain the best results of technologically independent logical optimization, the initial stage of logic circuit synthesis.…”
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5936
Non-Destructive Detection of Pesticide-Treated Baby Leaf Lettuce During Production and Post-Harvest Storage Using Visible and Near-Infrared Spectroscopy
Published 2024-11-01“…The genetic algorithm (GA) and the variable importance in projection (VIP) scores identified eleven distinct regions and nine specific wavelengths that exhibited the most significant effect in the detection models, with most of them in the near-infrared region of the electromagnetic spectrum. …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy
Published 2013-01-01“…Discovering and utilizing problem domain knowledge is a promising direction towards improving the efficiency of evolutionary algorithms (EAs) when solving optimization problems. …”
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5939
Poisson Noise Removal Scheme Based on Fourth-Order PDE by Alternating Minimization Algorithm
Published 2012-01-01“…To overcome the staircasing effects introduced by the TV regularization in image restoration, this paper investigates a fourth-order partial differential equation (PDE) filter for removing Poisson noise. …”
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5940