An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China by Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO

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Impact of Loads and Photovoltaic Uncertainties on Cascaded Failure in Transmission Networks of Future Power Grids by Wasseem Al-Rousan, Rafat Aljarrah, Mazaher Karimi, Firas Obeidat, Qusay Salem

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Out-of-Sample Predictability of the Equity Risk Premium by Daniel de Almeida, Ana-Maria Fuertes, Luiz Koodi Hotta

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Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

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The Prediction of Day‐to‐Day Occurrence of Low Latitude Ionospheric Strong Scintillation Using Gradient Boosting Algorithm by Xiukuan Zhao, Guozhu Li, Haiyong Xie, Lianhuan Hu, Wenjie Sun, Sipeng Yang, Yi Li, Baiqi Ning, Hisao Takahashi

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A hybrid model for smart grid theft detection based on deep learning by Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG

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Study on privacy preserving encrypted traffic detection by Xinyu ZHANG, Bingsheng ZHANG, Quanrun MENG, Kui REN

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Modeling COVID-19 dynamics in the Basque Country: characterizing population immunity profile from 2020 to 2022 by Bechir Naffeti, Zeineb Ounissi, Akhil Kumar Srivastav, Nico Stollenwerk, Joseba Bidaurrazaga Van-Dierdonck, Maíra Aguiar

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Novel Considerations in the ML/AI Modeling of Large-Scale Learning Loss by Mirna Elizondo, June Yu, Daniel Payan, LI Feng, Jelena Tesic

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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

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Ensemble-Based Alzheimer's Disease Classification Using Features Extracted from Hog Descriptor and Pre-trained Models by Enver Akbacak, Nedim Muzoglu

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Early identification of dropouts during the special forces selection program by Ruud J. R. den Hartigh, Rik Huijzer, Frank J. Blaauw, Age de Wit, Peter de Jonge

Subjects: “…Gradient boosting…”
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Controllability design of a memristive hyperchaotic map and the construction of optical fiber secure communication system by LI Chunbiao, LI Yongxin, ZHONG Qing, YANG Yong, AKGUL Akif

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Assessment of resilient modulus of soil using hybrid extreme gradient boosting models by Xiangfeng Duan

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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

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Development and validation of a novel AI-derived index for predicting COPD medical costs in clinical practice by Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, Shih-Feng Liu

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The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning by Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, Salim Heddam, Sungwon Kim, Seunghyun Kim, Meysam Soleimani, Saeid Afshar, Amir Taherkhani

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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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Modeling Ionospheric TEC Using Gradient Boosting Based and Stacking Machine Learning Techniques by Ayanew Nigusie, Ambelu Tebabal, Roman Galas

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