Efficiency Monitoring of a Cooling Water Pump based on Machine Learning Techniques by Marta Casero, Miguel A. Sanz-Bobi, F. Javier Bellido-López, Antonio Muñoz, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor

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Research on Static and Dynamic Characteristics of Spindle System of High Speed Milling Machine by ZHANG Yuan, WANG Lifeng, ZHANG Jin

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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…Therefore, this study proposes a rice mapping method (LR) using Google Earth Engine (GEE), which uses Landsat images and integrates automatic generation of training samples and a machine learning algorithm, with the assistance of phenological methods. …”
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Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors by Chibuike Chiedozie Ibebuchi

“…Hourly DAEP data from the California Independent System Operator (January 2017 to July 2023) were integrated with exogenous and engineered endogenous features. A custom rolling window cross-validation, with 24 h validation blocks sliding daily across 2372 folds, evaluates an Extreme Gradient Boosting (XGBoost) model’s performance under diverse market conditions, achieving a median mean absolute error of 6.26 USD/MWh and root mean squared error of 8.27 USD/MWh, with variability reflecting market volatility. …”
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Optimizing Well Selection in Hydraulic Fracturing Using Advanced Machine Learning Approaches by Hai T. Nguyen, Tarek Al-Arbi Ganat, Tu V. Truong

“…To address this limitation, machine learning models are applied to improve decision-making accuracy. …”
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Electromagnetic Vibration Analysis of the Permanent Magnet Vernier Machine With Dynamic Eccentricity Effect by Rui Guan, Zhengmeng Liu, Liang Xu, Guohai Liu

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Design and Construction of a Pesticide Spraying Machine for Chili Plants on Ridge fields by Wisnaningsih Wisnaningsih, Muhammad Iqbal Maulana, Wawan Hermawan

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Implementing artificial neural networks and support vector machines to predict lost circulation by Ahmed K. Abbas, Najim A. Al-haideri, Ali A. Bashikh

“…The application of the machine learning methods could assist drilling engineers in modifying drilling parameters to minimize the likelihood of lost circulation. …”
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Innovative defect cluster analysis algorithm and tool powered by machine learning techniques by Shuai Ren, Huizhao Li, Dandan Chen, Lingyu Dong, Changjun Hu

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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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A Survey on Machine Learning Approaches for Personalized Coaching with Human Digital Twins by Harald H. Rietdijk, Patricia Conde-Cespedes, Talko B. Dijkhuis, Hilbrand K. E. Oldenhuis, Maria Trocan

“…Preliminary investigations revealed a significant difference in performance, as measured by prediction accuracy and F1-score, between the optimal choice of machine learning algorithms for generalized and personalized processing of the available data. …”
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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

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A novel ensemble support vector machine model for land cover classification by Ying Liu, Lihua Huang

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Grading Related Feature Extraction of Chinese Mitten Crab Based on Machine Vision by Sun Dawei, Li Jiangtao, Li Zhuo, Zhou Chengquan, Lu Yingfeng, Ye Hongbao

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Advances in Composite Power System Reliability Assessment: Trends and Machine Learning Role by Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena, Veeranki Srinivasa Rao

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Prediction of seepage flow through earthfill dams using machine learning models by Issam Rehamnia, Ahmed Mohammed Sami Al-Janabi, Saad Sh. Sammen, Binh Thai Pham, Indra Prakash

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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

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A comparative ensemble approach to bedload prediction using metaheuristic machine learning by Ajaz Ahmad Mir, Mahesh Patel, Fahad Albalawi, Mohit Bajaj, Milkias Berhanu Tuka

“…Additionally, k-fold cross-validation was performed to assess the performance, consistency and robustness of the ML models. …”
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A Prognostic Framework for Rotating Machines Considering Multi-Component Fault Scenarios by Adam Lycksam, Mattias O'Nils, Faisal Z. Qureshi

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