Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection by Gyuwon Hwang, Sohee Yoo, Jaehyun Yoo

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Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India by Rajani Kumari, Sandeep Kumar, Ramesh Chandra Poonia, Vijander Singh, Linesh Raja, Vaibhav Bhatnagar, Pankaj Agarwal

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Advancing GAN Deepfake Detection: Mixed Datasets and Comprehensive Artifact Analysis by Tamer Say, Mustafa Alkan, Aynur Kocak

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Factor Investment or Feature Selection Analysis? by Jifang Mai, Shaohua Zhang, Haiqing Zhao, Lijun Pan

Subjects: “…machine learning…”
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Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

Subjects: “…machine learning…”
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Fraud Detection in Cryptocurrency Networks—An Exploration Using Anomaly Detection and Heterogeneous Graph Transformers by Víctor Pérez-Cano, Francisco Jurado

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Traffic classification model based on fusion of multiple classifiers with flow preference by Shi DONG, Wei DING

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Prediction of the Impact of Bank Failure Risk on Micro-Credit in Iran: An Artificial Intelligence Approach by Reza Taheri Haftasiabi, Yusef Mohammadzadeh, Ameneh Naderi

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Enhanced Landslide Susceptibility Assessment in Western Sichuan Utilizing DCGAN-Generated Samples by Yuanxin Tong, Hongxia Luo, Zili Qin, Hua Xia, Xinyao Zhou

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Indonesian Government Revenue Prediction Using Long Short-Term Memory by Mahmud, Windu Gata, Hafifah Bella Novitasari, Sigit Kurniawan, Dedi Dwi Saputra

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Improving Airport Flight Prediction System Based on Optimized Regression Vector Machine Algorithm by Baraa Yousif Salman, Jaber Parchami

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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

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Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen by Mark Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, Michael Iannotti, Giuliana Vozza, Tony Pham, Nurjahan Mehzabeen, Harini Shandilya, Keith Rickert, Rebecca Croasdale-Wood, Melissa Damschroder, Ying Fu, Andrew Dippel, Jeffrey J. Gray, Gilad Kaplan

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Advanced matter-element extension model and machine learning for source-specific probabilistic health risk assessment of heavy metals/metaloids in soil-rose systems in Kushui, Northwest China by Jun Li, Li-Bang Ma, Jun-Zhuo Liu, Xu Li, Yun-Qin Yang, Xi-Sheng Tai, Fa-Yuan Zhou, Fei Zang

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Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models by Xiaobo Xu, Zhaofeng Wang, Erjie Lu, Tao Lin, Hengchao Du, Zhongfei Li, Jiahong Ma

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A machine-learning reconstruction of sea surface <i>p</i>CO₂ in the North American Atlantic Coastal Ocean Margin from 1993 to 2021 by Z. Wu, Z. Wu, W. Lu, A. Roobaert, L. Song, X.-H. Yan, W.-J. Cai

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Correction : ‘Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATE) in Singapore general hospital: a large prospective randomised controlled trial’

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Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopathic inflammatory myopathies by Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo

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The external validity of machine learning-based prediction scores from hematological parameters of COVID-19: A study using hospital records from Brazil, Italy, and Western Europe. by Ali Safdari, Chanda Sai Keshav, Deepanshu Mody, Kshitij Verma, Utsav Kaushal, Vaadeendra Kumar Burra, Sibnath Ray, Debashree Bandyopadhyay

“…The unprecedented worldwide pandemic caused by COVID-19 has motivated several research groups to develop machine-learning based approaches that aim to automate the diagnosis or screening of COVID-19, in large-scale. …”
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SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden by Bethany K. Hughes, Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, Cleo L. Bishop

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