Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids by Masoumeh Azadikhouy

“…Simulations on a 33-bus distribution network demonstrate MOMSA’s superiority over conventional algorithms (e.g., HOA, PSO, GA), achieving a 19.2% cost reduction compared to non-EV-integrated scenarios and outperforming peers by 7.4–15.7% in total cost, energy loss reduction, and voltage stability. …”
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The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System by Yanyan Zhang

“…Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. …”
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IMPLEMENTATION OF GENETIC ALGORITHM BASED ON JAVASCRIPT IN OBJECT ROUTING SHORTEST TOUR ON TIMOR ISLAND by Justin Eduardo Simarmata, Ferdinandus Mone

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Extracapsular extension risk assessment using an artificial intelligence prostate cancer mapping algorithm by Alan Priester, Sakina Mohammed Mota, Kyla P. Grunden, Joshua Shubert, Shannon Richardson, Anthony Sisk, Ely R. Felker, James Sayre, Leonard S. Marks, Shyam Natarajan, Wayne G. Brisbane

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School-level prediction and management of myopia in children and adolescents by Shengsong Xu, Linling Li, Yingting Zhu, Zhenbang Ruan, Yiwen Qu, Zhuandi Zhou, Yin Hu, Zhidong Li, Fei Hou, Xiaohua Zhuo, Yunxia Leng, Xuelin Huang, Yamei Lu, Zhirong Wang, Shuifeng Deng, Yehong Zhuo, Guoming Zhang, Min Fu, Xiao Yang

“…The interactions between age and other variables were revealed by the algorithms, and hence the final prediction models were established based on age segmentation. …”
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Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

“…This study develops a comprehensive, data-driven framework for predicting satellite imagery prices using four state-of-the-art ensemble learning algorithms: XGBoost, LightGBM, AdaBoost, and CatBoost. …”
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EDECO: An Enhanced Educational Competition Optimizer for Numerical Optimization Problems by Wenkai Tang, Shangqing Shi, Zengtong Lu, Mengying Lin, Hao Cheng

“…The Educational Competition Optimizer (ECO) is a newly proposed human-based metaheuristic algorithm. …”
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Early Risk Prediction in Acute Aortic Syndrome on Clinical Data Using Machine Learning by Mehdi Tavafi, Kalpdrum Passi, Robert Ohle

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Engine Optimization Model for Accurate Prediction of Friction Model in Marine Dual-Fuel Engine by Mina Tadros

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Deep Learning in Financial Modeling: Predicting European Put Option Prices with Neural Networks by Zakaria Elbayed, Abdelmjid Qadi EI Idrissi

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Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm by QIN Yiyuan, LIU Xianli, YUE Caixu, GUO Bin, DING Mingna

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Collocating Recommendation Method for E-Commerce Based on Fuzzy C-Means Clustering Algorithm by LiJia Wang, Yanyan Jiang

“…Then, it uses data mining technology to mine and analyze the commodities that users are interested in, makes matching according to the types of commodities, and recommends the commodities that users are interested in under a given scene according to the established prediction model. By combining fuzzy clustering with collaborative filtering algorithm, this paper recommends the products that users are interested in, which are mined from historical data and commodity information.…”
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Deep reinforcement learning-based resource reservation algorithm for emergency Internet-of-things slice by Guolin SUN, Ruijie OU, Guisong LIU

“…Based on the requirements of ultra-low latency services for emergency Internet-of-things (EIoT) applications,a multi-slice network architecture for ultra-low latency emergency IoT was designed,and a general methodology framework based on resource reservation,sharing and isolation for multiple slices was proposed.In the proposed framework,real-time and automatic inter-slice resource demand prediction and allocation were realized based on deep reinforcement learning (DRL),while intra-slice user resource allocation was modeled as a shape-based 2-dimension packing problem and solved with a heuristic numerical algorithm,so that intra-slice resource customization was achieved.Simulation results show that the resource reservation-based method enable EIoT slices to explicitly reserve resources,provide a better security isolation level,and DRL could guarantee accuracy and real-time updates of resource reservations.Compared with four existing algorithms,dueling deep Q-network (DQN) performes better than the benchmarks.…”
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DEVELOPMENT AND EXPERIMENTAL VERIFICATION OF THE SELF-ADJUSTMENT ALGORITHM OF THE OGSH LOAD LIMITER FOR BRIDGE CRANES by V. A. Roshchin, S. D. Ivanov, N. L. Mikhalchik

“…The algorithm of the self-adjustment model of the safety device (SD) as the limiter of loading capacity provides the implementation of the FNP requirements, the reduction of time of the device setup, bigger convenience and simplicity of SD control on the OGSh; decrease in dynamic loads of the drive. …”
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Probability Model Based Coverage-Enhancing Algorithm for WSNs of Nodes' Adjustable Movement Pattern by Junjie Huang, Haiping Huang, Peng Sun, Ruchuan Wang, Xun Wei

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Improved Cryptanalysis of Some RSA Variants by Mohammed Rahmani, Abderrahmane Nitaj, Mhammed Ziane

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A Hybrid Algorithm Based Static Model Updating Method and Its Application to Spacecraft by Jutao Wang, Zhenzhong Liu, Xiaofei Wang

“…The results show that the hybrid algorithm can achieve a better result than the single algorithm in the static model updating.…”
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Development and Simulation of a Fast Delay Cancellation Algorithm for Digital Multimedia Network Communication by Jinxia Li, Liwei Lu

“…The proposed approach employs a delay cancellation algorithm in a network predictive control system. Simulation techniques are utilized to simulate and compensate for delays in multimedia communication networks. …”
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Spatial and Temporal Correlations-Based Routing Algorithm in Intermittent Connectivity Human Social Network by Zhou Tao, Xu Hongbin, Liu Ming, Liu Nianbo, Gong Haigang

“…In this paper, we propose the idea of Trip History Model (THM) which establishes a model on a single person's mobility, and then a Spatial and Temporal Correlations-Based Routing Algorithm (STC) is proposed. In STC, the node delivery probability is calculated according to both a node's current moving prediction and its history record to give guidance for message transmission. …”
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A Fast Algorithm of Generalized Radon-Fourier Transform for Weak Maneuvering Target Detection by Weijie Xia, Ying Zhou, Xue Jin, Jianjiang Zhou

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