Prediction of Acute Kidney Injury for Critically Ill Cardiogenic Shock Patients with Machine Learning Algorithms by Zhang X, Xiong Y, Liu H, Liu Q, Chen S

“…Five machine learning algorithms (LightGBM, decision tree, XGBoost, random forest, and ensemble model) and one conventional logistic regression were applied for the prediction of AKI in critically ill individuals with CS. …”
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Estimating the Compressive Strength of Cement-Based Materials with Mining Waste Using Support Vector Machine, Decision Tree, and Random Forest Models by Hongxia Ma, Jiandong Liu, Jia Zhang, Jiandong Huang

“…The beetle antennae search (BAS) algorithm was employed to tune the hyperparameters of the developed machine learning models. …”
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Value-difference learning based mMTC devices access algorithm in multi-cell network by Xin LI, Jun SUN

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An Improved Iterated Local Search Algorithm for the Static Partial Repositioning Problem in Bike-Sharing System by Qiong Tang, Zhuo Fu, Dezhi Zhang, Meng Qiu, Minyi Li

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Path-Integral-Based Reinforcement Learning Algorithm for Goal-Directed Locomotion of Snake-Shaped Robot by Qi Yongqiang, Yang Hailan, Rong Dan, Ke Yi, Lu Dongchen, Li chunyang, Liu Xiaoting

“…This method uses a model-free online Q-learning algorithm to evaluate action strategies and optimize decision-making through repeated “exploration-learning-utilization” processes to complete snake-shaped robot goal-directed locomotion in 3D complex environment. …”
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Optimization of Micro-Electromechanical Lorentz Actuator Using a Surrogate Model Accelerated Genetic Algorithm by Phiona Buhr, Cyrus Shafai, Byoungyoul Park, Yunli Wang, Miroslav Belov

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Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting by Sheng-Tzong Cheng, Ya-Jin Lyu, Yi-Hong Lin

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Energy management of microgrid coalitions considering renewable energy prediction based on machine learning algorithms by Negar Dehghani Mahmoudabadi, Mehran Khalaj, Davood Jafari, Ali Taghizadeh Herat, Parisa Mousavi Ahranjani

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CABLE NEWS NETWORK (CNN) ARTICLES CLASSIFICATION USING RANDOM FOREST ALGORITHM WITH HYPERPARAMETER OPTIMIZATION by Dewi Retno Sari Saputro, Krisna Sidiq

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Prediction of Telkomsel 4G LTE Card Sales using The K-Nearest Neighbor Algorithm by Alfiana Fontes Martins, Yasinta Oktaviana Legu Rema, Debora Chrisinta, Alejandro Jr. V. Matute, Krisantus Jumarto Tey Seran

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Medical Waste Vehicle Routing Problem – A Review of Objectives, Collection and Transportation Strategies, and Algorithms by Wensi LI, Theam Foo NG, Haidi IBRAHIM, Shir Li WANG

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A systematic review of reinforcement learning-based control for microgrids: trends, challenges, and emerging algorithms by A. V. Waghmare, V. P. Singh, T. Varshney, P. Sanjeevikumar

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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

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Bi-Level Game Strategy for Virtual Power Plants Based on an Improved Reinforcement Learning Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

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Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

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Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms by Simon Fong, Weng Fai Ip, Elaine Liu, Kyungeun Cho

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A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection by Ahmed Adil Nafea, Manar AL-Mahdawi, Khattab M Ali Alheeti, Mustafa S. Ibrahim Alsumaidaie, Mohammed M AL-Ani

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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…In the final phase, an ensemble classifier combines the strengths of the Decision Tree, Random Forest, and XGBoost algorithms to achieve the accurate and robust detection of anomalous behaviors. …”
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Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance by Mohsen Akbari, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Kaharudin Dimyati, Mohsen Riahi Manesh, Mohammad Nour Hindia

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