Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method by Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim

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Offset Adjustment Mechanism and Rigid-flexible Coupling Analysis Method for Spatial Ultra-thin Paper Tape by Gan Shengyong, Hong Guanghuai, Zhou Changjiang

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Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques by Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat

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Fast Dynamic Time Warping and Hierarchical Clustering with Multispectral and Synthetic Aperture Radar Temporal Analysis for Unsupervised Winter Food Crop Mapping by Hsuan-Yi Li, James A. Lawarence, Philippa J. Mason, Richard C. Ghail

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AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks by Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer, Michael Levin

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Machine Learning for Lung Cancer Subtype Classification: Combining Clinical, Histopathological, and Biophysical Features by Aiga Andrijanova, Lasma Bugovecka, Sergejs Isajevs, Donats Erts, Uldis Malinovskis, Andis Liepins

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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

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Metabolomics Biomarkers in Prediction of Sudden Infant Death Syndrome: The Role of Short Chain Fatty Acids by Maria Aslam, Omer Riaz, Jawaria Aslam, Dost Muhammad Khan, Mustafa Hameed, Muhammad Suleman, Rizwan Shahid, Turke Althobaiti, Naeem Ramzan

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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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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

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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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Significance of Tool Coating Properties and Compacted Graphite Iron Microstructure for Tool Selection in Extreme Machining by Anna Maria Esposito, Qianxi He, Jose M. DePaiva, Stephen C. Veldhuis

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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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