A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

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Midspan Deflection Prediction of Long-Span Cable-Stayed Bridge Based on DIWPSO-SVM Algorithm by Lilin Li, Qing He, Hua Wang, Wensheng Wang

“…With the increasing emphasis on the safety and longevity of large-span cable-stayed bridges, the accurate prediction of midspan deflection has become a critical aspect of structural health monitoring (SHM). …”
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Retracted: Research on the Popularity Prediction of Multimedia Network Information Based on Fast K Neighbor Algorithm by Journal of Electrical and Computer Engineering

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APPLICATION OF SUGENO FUZZY INFERENCE ALGORITHM IN THE PROBLEM OF PREDICTING THE RESIDUAL LIFE OF AVIATION RADIOTECHNICAL EQUIPMENT by Trần Minh Hải, Ku Thanh Phong, Nguyen The Thang, Nguyễn Thanh Sáng, N.K. Yurkov, Phạm Văn Tú

“…The paper presents a theoretical representation of fuzzy logic, residual resource and the application of fuzzy-logical inference algorithms for solving the problems of extending and predicting the residual resource of aviation radio engineering devices. …”

Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…The results are verified to be effective. The MD-RAN algorithm is significantly better than the original model in terms of prediction accuracy, stability, and nonlinear expression ability. …”
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DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM by Syaiful Anam, Abdi Negara Guci, Fery Widhiatmoko, Mila Kurniawaty, Komang Agus Arta Wijaya

Subjects: “…claim prediction…”
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Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm by Pei Tang, Zetao Qiu, Zhongran Yao, Jiahao Pan, Dashuai Cheng, Xiaoyong Gu, Changcheng Sun

“…The selected features and decomposed components are subsequently input into a PatchTST network, whose hyperparameters are tuned via the Sparrow Search Algorithm (SSA), to predict battery RUL. Experimental validation on the NASA Battery dataset and NASA Randomized Battery Usage Dataset demonstrates that the proposed WOA-VMD-SSA-PatchTST model consistently outperforms baseline models, including CNN, GRU and PatchTST, achieving superior prediction accuracy and robustness.…”
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Novel Model for Pork Supply Prediction in China Based on Modified Self-Organizing Migrating Algorithm by Haohao Song, Jiquan Wang, Gang Xu, Zhanwei Tian, Fei Xu, Hong Deng

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Review of Icing Prediction Model and Algorithm for Overhead Transmission Lines Considering Time Cumulative Effects by Chuanqi WANG, Liwen WU, Zhibin DENG, Weifeng DENG, Bin YANG

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Research on Pump Down Treating Pressure Prediction Based on New Particle Swarm Optimization Algorithm by LIU Mingming, SONG Zhiyong, MA Shou, WEI Yuhua, ZHUANG Huanle

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Machine learning algorithm to predict the in-hospital mortality in critically ill patients with chronic kidney disease by Xunliang Li, Yuyu Zhu, Wenman Zhao, Rui Shi, Zhijuan Wang, Haifeng Pan, Deguang Wang

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PAD-SA: a method for predicting the turnover of scientific researchers based on ADASYN-Stacking algorithm by Tianyi Zhang, Jing Yang, Ru Liu, Qiyuan Feng

“…To address these issues, this paper proposes a novel prediction method named PAD-SA (Prediction of Academic Departure using ADASYN-Stacking Algorithm) by employing the ADASYN (Adaptive Synthetic) sampling algorithm in conjunction with the Stacking algorithm. …”
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Fatigue life prediction of the drilling mast for rotary drilling rig using an improved hybrid algorithm by Heng Yang, Qing Lu, Yuhang Ren, Gening Xu, Wenxiao Guo, Qianbin Geng

“…To address the demand for accurate fatigue life prediction of the drilling mast for rotary drilling rig in engineering, an improved hybrid Aquila-African Vulture Optimization Algorithm (IAOAVOA) is proposed to optimize the BP neural network method for predicting the fatigue life of drill masts. …”
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Prediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm by Md. Sadikul Hasan, Md. Tarequzzaman, Md. Moznuzzaman, Md Abdul Ahad Juel

“…This paper unveils a genetic algorithm (GA)-optimized support vector regression (SVR) model designed to (i) predict electricity generation, (ii) predict energy consumption in four primary sectors—residential, industrial, commercial, and agricultural, and (iii) estimate sector-specific carbon emissions. …”
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PREDICTION OF ECONOMIC GROWTH RATE OF TUBAN REGENCY WITH ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM ALGORITHM by Maya Muaziza, Ahmad Zaenal Arifin, Suzatmo Putro

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A cooperative stochastic configuration network based on differential evolutionary sparrow search algorithm for prediction by Wenhao Fang, Bo Shen, Anqi Pan, Lei Zou, Baoye Song

“…To improve the prediction accuracy of the network, a cooperative stochastic configuration network (CSCN) based on a novel differential evolutionary sparrow search algorithm (DESSA), termed as DESSA-CSCN, is proposed. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

Subjects: “…short-term power load prediction…”
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Application of XGBoost Algorithm to Develop Mutual Fund Marketing Prediction Model for Banks’ Wealth Management by Jen-Ying Shih

“…Therefore, using the eXtreme Gradient Boosting algorithm, a mutual fund marketing prediction model is developed based on a commercial bank’s data in this study. …”
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Research on Prediction model of Carotid‐Femoral Pulse Wave Velocity: Based on Machine Learning Algorithm by Minghui Chen, Jing Xiong, Moran Li, Tao Hu, Yi Zhang

“…It is feasible to use a machine learning algorithm based on baPWV and other readily available clinical parameters to predict cf‐PWV.…”
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Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction by Zhen-Yao Chen

“…The algorithm then evaluates results from five standard inspections and an empirical industrial grade computer (IgC) sales prediction instance in Taiwan, which reveals that the proposed SAIPS algorithm exceeds the performance among related algorithms as well as the relevant auto-regressive integrated moving average (ARIMA) models in terms of accuracy and time spent.…”
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