Hybrid ANN-Based and Text Similarity Method for Automatic Short-Answer Grading in Polish by Marwah Bani Saad, Lidia Jackowska-Strumillo, Wojciech Bieniecki

“…While electronic choice surveys have long been used in many web applications, automatic scoring of open-ended responses remains an interesting research problem in natural language processing. In this article, we propose a new hybrid text-processing method for scoring students’ responses based on word splitting and preprocessing, which will then combine textual algorithms with a set of artificial neural network classifiers and a set of heuristic decision rules. …”
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Online English teaching resource recommendation method design based on LightGCNCSCM by Jing Tang

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THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD by Rudolf A. NEYDORF, Anna A. DEREVYANKINA

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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…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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Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

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Negotiating the New Media Platforms: Youth and Political Images in Kenya by Lynete Lusike Mukhongo

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Automation system for finding parking places by О. Napadii, N. Tsopa, Ye. Batrak

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Underground electronic fence system based on UWB technology by Kai TAN, Yu HU, Jianbo DAI

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Advances in impact force identification: A comprehensive review of techniques and mathematical innovations by Hamed Kalhori, Shabnam Tashakori, Ben Halkon, Mehrisadat Makki Alamdari, Bing Li, Morteza Saberi

“…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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Dynamic forecasting module for chronic graft-versus-host disease progression based on a disease-associated subpopulation of B cells: a multicenter prospective studyResearch in cont... by Yuanchen Ma, Jieying Chen, Zhiping Fan, Jiahao Shi, Gang Li, Xiaobo Li, Tao Wang, Na Xu, Jialing Liu, Zhishan Li, Heshe Li, Xiaoran Zhang, Dongjun Lin, Wu Song, Qifa Liu, Weijun Huang, Xiaoyong Chen, Andy Peng Xiang

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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Furthermore, the integration of crack detection results with coordinate transformation algorithms enabled the precise geospatial localization of cracks. …”
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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

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Fault Location for Active Distribution Network Based on Improved LMD and Energy Relative Entropy by Yanchun XU, Caicai ZHAO, Sihan SUN, Lu MI

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Chained to the App: German Bike Couriers Riding into Digital Capitalism by Jasmin Schreyer

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Aging Prediction of IGBT Based on Improved Support Vector Regression by Zhengxiong CHEN, Mahemuti PAZILAI, Wei SHEN

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An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction by Anuradha Yenkikar, Ved Prakash Mishra, Manish Bali, Tabassum Ara

“…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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Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…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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Multi-objective optimal scheduling of cascade reservoirs in complex basin systems: Case study of the Jinsha River-Yalong River confluence basin in China by Zhaocai Wang, Zhihua Zhu, Hualong Luan, Tunhua Wu

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Advancing overbreak prediction in drilling and blasting tunnel using MVO, SSA and HHO-based SVM models with interpretability analysis by Yulin Zhang, Jian Zhou, Jialu Li, Biao He, Danial Jahed Armaghani, Shuai Huang

“…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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Sustainable Co-Habitation Housing Design: A Computational Approach for Addressing Biodiversity Threats in the Galapagos Islands by Gianfranco Maiorano, Natalia Juca Freire, Rapas Teparaksa, Pinak Dilip Bhapkar, Elif Erdine, Milad Showkatbakhsh

“…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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