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1001
Online English teaching resource recommendation method design based on LightGCNCSCM
Published 2025-12-01Get full text
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1002
THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD
Published 2010-08-01Get full text
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1003
The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model
Published 2025-05-01“…The methodology incorporates two key innovations: first, it applies a Singer chaotic mapping technique to enhance the sparrow search algorithm (SSA), effectively mitigating local optima entrapment by increasing population diversity and enhancing global search capabilities. …”
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1004
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1005
Marine Mammals Classification using Acoustic Binary Patterns
Published 2020-11-01“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. In this study, acoustic marine mammal classification is performed through the fusion of 1D Local Binary Pattern (1D-LBP) and Mel Frequency Cepstral Coefficient (MFCC) based features. …”
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1006
Negotiating the New Media Platforms: Youth and Political Images in Kenya
Published 2014-03-01Get full text
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1007
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1008
Underground electronic fence system based on UWB technology
Published 2025-08-01Get full text
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1009
Advances in impact force identification: A comprehensive review of techniques and mathematical innovations
Published 2025-06-01“…A systematic taxonomy is established to evaluate impact force reconstruction techniques, including deconvolution, subspace state-space formulations, and data-driven models, as well as localization strategies, such as triangulation, similarity-based matching, and optimization-based algorithms. …”
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1010
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1011
AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks
Published 2025-01-01“…Furthermore, the integration of crack detection results with coordinate transformation algorithms enabled the precise geospatial localization of cracks. …”
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1012
Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection
Published 2025-01-01Get full text
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1013
Fault Location for Active Distribution Network Based on Improved LMD and Energy Relative Entropy
Published 2021-11-01Get full text
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1014
Chained to the App: German Bike Couriers Riding into Digital Capitalism
Published 2024-04-01Get full text
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1015
Aging Prediction of IGBT Based on Improved Support Vector Regression
Published 2022-07-01Get full text
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1016
Big data-based optimized model of building design in the context of rural revitalization
Published 2025-06-01“…The new method enhanced the search capability of the algorithm by introducing new local and individual extreme points to address the multi-objective nature of the BEC problem. …”
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1017
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1018
Advancing overbreak prediction in drilling and blasting tunnel using MVO, SSA and HHO-based SVM models with interpretability analysis
Published 2025-05-01“…To address these limitations, this research proposes three innovative hybrid models that integrate metaheuristic optimization algorithms with support vector machine (SVM): multi-verse optimizer-SVM (MVO-SVM), salp swarm algorithm-SVM (SSA-SVM), and Harris’s Hawk optimization-SVM (HHO-SVM). …”
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1019
Sustainable Co-Habitation Housing Design: A Computational Approach for Addressing Biodiversity Threats in the Galapagos Islands
Published 2024-12-01“…This study explores sustainable housing solutions for urban areas in the Galapagos Islands, aiming to balance human needs with ecosystem preservation by fostering co-habitation between local communities and native species. Recognising the ecological importance of the Galapagos and the challenges posed by human-driven urban expansion, the research focuses on Puerto Ayora as a case study. …”
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1020
An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction
Published 2025-12-01“…Explainable Artificial Intelligence (XAI) techniques address this challenge by making AI-driven predictions more transparent, ensuring trust and better decision-making. This research integrates XAI techniques into a hybrid model that combines the powers of Random Forest (RF), Long Short-Term Memory (LSTM), and XGBoost algorithms by incorporating SHAP (SHapley Additive Explanations), LIME (Local Interpretable Model-Agnostic Explanations), and Counterfactual Analysis for yield prediction. …”
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