Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

“…ObjectiveIt is crucial to recognize individuals with prediabetes early in order to apply timely intervention strategies to decelerate or prohibit diabetes development. This study aims to compare the effectiveness of machine learning (ML) algorithms in predicting prediabetes and identifying its key clinical predictors. …”
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A Comparative Analysis of Advanced Routing and Cluster Head Selection Algorithm Using Lagrange Interpolation by Zoren P. Mabunga, Jennifer C. Dela Cruz, Renato R. Maaliw

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Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adil Noor

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Comparative Study of Earthquake Clustering in Indonesia Using K-Medoids, K-Means, DBSCAN, Fuzzy C-Means and K-AP Algorithms by Nurfidah Dwitiyanti, Siti Ayu Kumala, Shinta Dwi Handayani

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Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems by Lei Shi, Zongyu Zhang, Yongrui Yu, Chun Xie, Tongbin Yang

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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Characteristics of coherent turbulent structures provide a more comprehensive explanation for the mechanism underlying the formation of sediment transport belts.ConclusionThis study concludes the following: 1) The grayscale subtraction technique effectively identifies particles with significant motion distances, while deep learning methods excel at recognizing particles with smaller motion distances. Through comparative analysis, data evaluation, and experimental observations, it becomes evident that the integrated algorithm, which combines both approaches, enhances the accuracy of bedload particle and trajectory identification under moderate to low flow conditions. 2)Under conditions of moderate to low flow intensity, the motion intensity of bedload sediment particles is influenced by coherent turbulent structures, resulting in a laterally banded structure. …”
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Comparative Analysis of MFO, GWO and GSO for Classification of Covid-19 Chest X-Ray Images by Asraa M. Mohammad, Hussien Attia, Yossra H. Ali

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Research on distributed cooperative algorithm based on signal-to-noise ratio coefficient with double thresholds by Li Zhanxiong, Liu Liping, Fang Liang, Lv Jiafeng, Wang Ci

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Research on the Effectiveness of Different Estimation Algorithm on the Autonomous Orbit Determination of Lagrangian Navigation Constellation by Youtao Gao, Junkang Chen, Bo Xu, Jianhua Zhou

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Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

“…Current research on gas concentration prediction in working faces of coal mines often suffers from limited feature dimensions and small dataset sizes, making it difficult to extract long-term fluctuation patterns from large-scale time-series data. …”
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Research on power efficient autonomous UAV navigation algorithm: an edge intelligence driven approach by Chunmin LIN, Liekang ZENG, Xu CHEN

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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

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Research on optimization of indoor positioning batch ranging system based on DS-TWR algorithm by Hongwei SUN, Xuehong CAO, Liangbao JIAO, Lin MENG, Ziheng LIU, Feng YUAN

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Research on path planning in complex environment based on improved A^* algorithm by KANG Kaishen, HUANG Hailong

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Research on building energy consumption prediction algorithm based on customized deep learning model by Zheng Liang, Junjie Chen

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Research on Calibration Algorithm of Camera and LiDAR for Transport Vehicles in Open-pit Mines by XU Yanghan, LIN Jun, KANG Gaoqiang, YOU Jun, YUE Wei, TONG Hao

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Research on site selection and capacity determination problem based on improved particle swarm algorithm by Xiaotong Mi, Qinyang Liu, Bo Geng, Yong Zhu

“…Compared with the traditional particle swarm optimization algorithm fused with Ant colony optimization algorithm (PSOACO), the improved algorithm is more prominent in reducing power loss and improving voltage quality. …”
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