Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review by Henrique Henriques, Luis Nobre Pereirsa

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A new multi-attribute decision-making method for interval data using support vector machine by Ghassem Farajpour Khanaposhtani

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RESEARCH PROGRESS ON INFLUENCE OF VOLUMETRIC DEFECTS ON PIPELINE SAFETY by DAN Yong, BAI RuiFeng, WU Wei, PEI MengChen

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State of Charge Prediction for Electric Loader Battery Based on Extreme Learning Machine by Wei Ding, Fumin Zou, Jishun Liu, Cheng Zhang

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Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction by Van Nhanh Nguyen, Nghia Chung, G.N. Balaji, Krzysztof Rudzki, Anh Tuan Hoang

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Enhanced Sensor Placement Optimization and Defect Detection in Structural Health Monitoring Using Hybrid PI-DEIM Approach by Minyoung Yun, Mikhael Tannous, Chady Ghnatios, Eivind Fonn, Trond Kvamsdal, Francisco Chinesta

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Research on optimal selection of runoff prediction models based on coupled machine learning methods by Xing Wei, Mengen Chen, Yulin Zhou, Jianhua Zou, Libo Ran, Ruibo Shi

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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning by Yugal Pande, Jyotismita Chaki

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Host-microbe multi-omics and succinotype profiling have prognostic value for future relapse in patients with inflammatory bowel disease by Jill O’Sullivan, Shriram Patel, Gabriel E. Leventhal, Rachel S. Fitzgerald, Emilio J. Laserna-Mendieta, Chloe E. Huseyin, Nina Konstantinidou, Erica Rutherford, Aonghus Lavelle, Karim Dabbagh, Todd Z. DeSantis, Fergus Shanahan, Andriy Temko, Shoko Iwai, Marcus J. Claesson

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Technical, social, psychological and ethical aspects of human-robot collaboration: a case study of the 'Robin Heart' medical robot by Małgorzata Suchacka, Mariusz Wojewoda, Zbigniew Nawrat, Artur Domurat, Angelika Magdalena Pabian

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Safety analysis in the era of large language models: A case study of STPA using ChatGPT by Yi Qi, Xingyu Zhao, Siddartha Khastgir, Xiaowei Huang

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Reconstruction and Prediction of Chaotic Time Series with Missing Data: Leveraging Dynamical Correlations Between Variables by Jingchan Lv, Hongcun Mao, Yu Wang, Zhihai Yao

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Machine learning and molecular dynamics simulations predict potential TGR5 agonists for type 2 diabetes treatment by Ojochenemi A. Enejoh, Chinelo H. Okonkwo, Hector Nortey, Olalekan A. Kemiki, Ainembabazi Moses, Ainembabazi Moses, Florence N. Mbaoji, Abdulrazak S. Yusuf, Olaitan I. Awe

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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

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Unsupervised Anomaly Detection With Variational Autoencoders Applied to Full‐Disk Solar Images by Marius Giger, André Csillaghy

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Recovering and Improvement of the Ancient Chinese South-pointing Chariot by Liu Zhao, Yang Muhan, Ma Kaiyue, Hu Zhuanliang

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Comprehensive Review of Privacy, Utility, and Fairness Offered by Synthetic Data by A. Kiran, P. Rubini, S. Saravana Kumar

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Sounds like gambling: detection of gambling venue visitation from sounds in gamblers’ environments using a transformer by Kenji Yokotani, Tetsuya Yamamoto, Hideyuki Takahashi, Masahiro Takamura, Nobuhito Abe

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Estimation of chlorophyll-a in uncrewed aircraft systems imagery using autonomous surface vessel data with machine learning algorithms and feature selection techniques by Mohammad Shakiul Islam, Padmanava Dash, Abduselam M. Nur, Hafez Ahmad, Rajendra M. Panda, Jessica S. Wolfe, Gray Turnage, Lee Hathcock, Gary D. Chesser, Jr, Robert J. Moorhead

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