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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Optimization of bioactive compounds and sensory quality in thermosonicated black carrot juice: A study using response surface methodology, gradient boosting, and fuzzy logic by Seydi Yıkmış, Melikenur Türkol, Ishak Pacal, Aylin Duman Altan, Nazlı Tokatlı, Gholamreza Abdi, Nazan Tokatlı Demirok, Rana Muhammad Aadil

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Reliability Assessment of an Improved Single‐Input Switched‐Capacitor Boost 7/9‐Level Inverter Suitable for Renewable Energies by Armin Ghelichi, Kazem Varesi, Milad Khoubrooy Eslamloo

Subjects: “…boosting factor…”
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Prediction of High-Pressure Physical Properties of Crude Oil Using Explainable Machine Learning Models by Yawen He, Jianwen Chen, Zhiyu Wu, Yaxin Dun, Guichao Du, Mengsen Feng, Yifan Lu, Wei Dang

Subjects: “…Extreme gradient boosting…”
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Analyzing Urban Parks for Older Adults’ Accessibility in Summer Using Gradient Boosting Decision Trees: A Case Study from Tianjin, China by Haobo Zhao, Gang Feng, Wei Zhao, Yaxin Wang, Fei Chen

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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach by Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning by Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee

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