Hydropower Station Status Prediction Using RNN and LSTM Algorithms for Fault Detection by Omar Farhan Al-Hardanee, Hüseyin Demirel

“…In this study, artificial neural network algorithms (RNN and LSTM) are used to predict the condition of the hydropower station, identify the fault before it occurs, and avoid it. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…The optimal process parameter combination for material removal rate in stone processing is determined through BP neural network and genetic algorithm, and the relative error between the predicted value and the experimental value is relatively small.…”
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Development of an Algorithm for Predicting Broiler Shipment Weight in a Smart Farm Environment by Bohyeok Lee, Juwhan Song

“…The experimental results showed that the K-means + Prophet predictor model recorded the best prediction performance among the algorithm combinations proposed in this paper. …”
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Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms by Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

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An Improved Taguchi Algorithm Based on Fitting and Prediction for Linear Antenna Array Synthesis by Xiaomin Xu, Cheng Liao, Youfeng Cheng, Fan Peng

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Experiments on software error prediction using Decision Tree and Random Forest algorithms by Ilona Bluemke, Paweł Borsukiewicz

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Ballistic Fitting Impact Point Prediction Based on Improved Crayfish Optimization Algorithm by Baolu Yang, Liangming Wang, Jian Fu

Subjects: “…improved crayfish optimization algorithm…”
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Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction by Wei Xu, Eric Blancaflor, Mideth Abisado

“…This paper introduces an improved LSTM (Long Short-Term Memory) algorithm and sliding window technology to improve the accuracy and stability of traffic flow prediction. …”
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Research on Trajectory Tracking Algorithm of Agricultural Machinery Based on Model Predictive Control by LIU Lin, ZHANG Huaqiang, QIN Changli, CHEN Yu, SU Qinghua

“…This algorithm can achieve preferable tracking control accuracy and meet the requirements for precision agriculture.…”
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Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis by Mostafa Alizade-Harakiyan, Amin Khodaei, Ali Yousefi, Hamed Zamani, Asghar Mesbahi

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Battery Current Estimation and Prediction During Charging with Ant Colony Optimization Algorithm by Selamat Muslimin, Ekawati Prihatini, Nyayu Latifah Husni, Tresna Dewi, Mukhidin Wartam Bin Umar, Auvi Crisanta Ana Bela, Sri Utami Handayani, Wahyu Caesarendra

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Flood Area Prediction using a Stacked Ensemble of Tree-Based Algorithms by Olusogo Julius Adetunji

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Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction by Eldrianto Christian Wibowo, Ariya Dwika Cahyono

“…This study compares the performance of Linear Regression and Neural Network algorithms in predicting stock prices using historical data from PT Bank Central Asia Tbk (BBCA) for the period from January 1, 2019, to February 17, 2025. …”
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Leveraging ECG images for predicting ejection fraction using machine learning algorithms by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan

“…Various algorithms based on ECG images are currently being evaluated, with most methods requiring raw signal data from ECG devices. …”
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Utilization of Classification Learning Algorithms for Upper-Body Non-Cyclic Motion Prediction by Bon H. Koo, Ho Chit Siu, Dava J. Newman, Ellen T. Roche, Lonnie G. Petersen

“…This study explores two methods of predicting non-cyclic upper-body motions using classification algorithms. …”
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Frost Resistance Prediction of Concrete Based on Dynamic Multi-Stage Optimisation Algorithm by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

“…Additionally, compared with the two mainstream optimisation algorithms (SCA and AOA), DMSOA-CatBoost also has obvious advantages in prediction accuracy and stability. …”
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Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes by Hind Bourkhime, Noura Qarmiche, Soumaya Benmaamar, Nada Lazar, Mohammed Omari, Mohamed Berraho, Nabil Tachfouti, Samira El Fakir, Hanan El Ouahabi, Nada Otmani

“…This research study presents a comprehensive comparative analysis of eight distinct machine learning (ML) algorithms to predict depression among individuals with diabetes. …”
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LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

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Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction by Yuchi Li, Zhigao Wang, Aiwei Yang, Xiaoqi Yu

“…For structured text data, support vector regression (SVR) models optimized using the Whale Optimization Algorithm (WOA), Grey Wolf Optimizer (GWO), and Sparrow Search Algorithm (SSA) were utilized to predict apple ripeness, with the WOA-optimized SVR demonstrating exceptional generalization capabilities. …”
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A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction by Yong Xiao, Xin Jin, Tingzhe Pan, Zhenwei Yu, Li Ding

“…To tackle challenges, such as data heterogeneity, constrained communication resources, and data security in smart grid load prediction, this study introduces a novel differential privacy federated learning algorithm. …”
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