Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning by Kinza Nazir, Yong-Woon Kim, Yung-Cheol Byun

“…Specifically, the GA-optimized true PID values achieved a mean error of 11.8402, while the SVR-predicted PID values had a mean error of 15.4438, with SVR attaining a recall of 86.55%. …”
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Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency by Leszek Sliwko

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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

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The relevance of the data collection process in the VioGén system from a feminist perspective by Javiera Farías Pereira

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Comparative Analysis of ARIMA and lSTM Predictive Models: Evidence from Russian Stocks by A. V. Alzheev, R. A. Kochkarov

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Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

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4D trajectory lightweight prediction algorithm based on knowledge distillation technique by Weizhen Tang, Jie Dai, Zhousheng Huang, Boyang Hao, Weizheng Xie

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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

Subjects: “…performance prediction…”
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A comprehensive review of predictive analytics models for mental illness using machine learning algorithms by Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, Ferdaus Anam Jibon, Md. Sahidullah

“…Finally, the value of this work lies in its potential to provide a fast and accurate method for predicting the mental health status of a person, which may assist in the diagnosis and treatment of mental illness.…”
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Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms by Xiaodong ZHANG, Pengfei WANG, Le LIU

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Optimizing Server Load Distribution in Multimedia IoT Environments through LSTM-Based Predictive Algorithms by Somaye Imanpour, AhmadReza Montazerolghaem, Saeed Afshari

“…The Long Short-Term Memory (LSTM) prediction algorithm is employed to accurately estimate server loads and fuzzy systems are integrated to optimize load distribution across servers. …”
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Predictive Modeling of Credit Card Rejection Using Machine Learning Algorithms: A Comparative Study by Shengyu Gu

“…The investigation also involves optimization methodologies such as Pelican Optimization Algorithm (POA), Coot Optimization Algorithm (COA), and Chimp Optimization Algorithm (CHOA). …”
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Online blind equalization algorithm with echo state network based on prediction principle by Ling YANG, Qin HAN, Li CHENG, Aonan ZHAO, Juan DU

Subjects: “…nonlinear channel;predictive error filter;echo state network;recursive least square algorithm…”
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RUL Prediction Method for Lithium‐Ion Batteries Based on the SOA‐ELM Algorithm by Meng Xiangdong, Zhang Haifeng, Li Dexin, Dong Yunchang, Zhang Jiajun, Cao Xinyu, Li Gang

“…This paper proposes an advanced RUL prediction model that combines the seagull optimization algorithm (SOA) with the extreme learning machine (ELM) to enhance prediction accuracy. …”
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Prediction Algorithm of Key Design Parameters for Space Chaotic Optical Communication System by Mi Li, Huihui Zeng, Yufan Yang, You Guo, Jiahan Li

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Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm by Yuanwen Lai, Hangyu Liang, Liling Huang

“…Based on the analysis of the influencing factors of the arrival time of the pure electric bus, the BP neural network arrival time prediction model optimized by the firefly algorithm (FA-BP prediction model) is established by selecting vehicle type, SOC value, battery age, and time as input conditions. …”
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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm by Baik Budi, Muhammad Ilhamdi Rusydi, Reivan Arya Witama, Queen Hesti Ramadhamy, Refki Budiman

“…This study explores the use of Naive Bayes and k-means algorithms to predict and analyzed stability of the electrical grid. …”
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Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm by Hui Zhuo, Tongren Li, Wei Lu, Qingsong Zhang, Lingyun Ji, Jinliang Li

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