%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests by Jacques K. Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili

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Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

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Equivalent Circuit Parameter Measurement of Multiphase Induction Machine by Exploitation of Space Harmonic Relations by Omer Ikram Ul Haq, R. S. Kanchan, Sjoerd G. Bosga, Luca Peretti

Subjects: “…Multiphase electric machines…”
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Classification of disinformation in hybrid warfare: an application of XLNet during the Russia’s war against Ukraine by Halyna Padalko, Vasyl Chomko, Sergiy Yakovlev, Plinio Pelegrini Morita

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Exploration of linear and interpretable models for quantification of cell parameters via contactless short-wave infrared hyperspectral sensing by Anjana Hevaganinge, Eva Lowenstein, Anna Filatova, Mihir Modak, Nandi Thales Mogo, Bryana Rowley, Jenny Yarmowsky, Joshua Ehizibolo, Ravidu Hevaganinge, Amy Musser, Abbey Kim, Anthony Neri, Jessica Conway, Yiding Yuan, Maurizio Cattaneo, Sui Seng Tee, Yang Tao

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Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment by Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

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Using Machine Learning to Diagnose Autism Based on Eye Tracking Technology by Ameera S. Jaradat, Mohammad Wedyan, Saja Alomari, Malek Mahmoud Barhoush

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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

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PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

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Challenges and opportunities in enhanced recovery after surgery programs: An overview by Vijaya Gottumukkala, Girish P. Joshi

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Study on dynamic trust metric of trusted network based on state and behavior associated by LI Dao-feng, YANG Yi-xian, GU Li-ze, SUN Bin

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MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM by ZHANG LiXin, YANG Kang, LI YuXi

Subjects: “…Electrical discharge machining…”
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Sentiment Analysis of PeduliLindungi User Using Naïve Bayes Classifier Algorithm and Support Vector Machine by Rizki Rahmatullah, Jundi Nourfateha Elquthb, Fanya Nindha Al-Qurani, Annisa Uswatun Khasanah

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Integrated Taguchi method‐assisted polynomial Metamodelling & Genetic Algorithm based optimisation of a surface inset permanent synchronous motor for performance improvement by Monika Verma, Madhusudan Singh, Mini Sreejeth

Subjects: “…electric machines…”
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Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest by Hamza Sonalcan, Enes Bilen, Bahar Ateş, Ahmet Çağdaş Seçkin

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Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment by Tianyi Wang, Takuya Sakamoto, Yu Oshima, Itsuki Iwata, Masaya Kato, Haruto Kobayashi, Manabu Wakuta, Masako Myowa, Tokomo Nishimura, Atsushi Senju

Subjects: “…Machine learning…”
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Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan by Ying-Qiang Liu, Tzu-Wei Chang, Lung-Chun Lee, Chia-Yu Chen, Pi-Shan Hsu, Yu-Tse Tsan, Chao-Tung Yang, Wei-Min Chu

Subjects: “…machine learning models…”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

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Inteligencia artificial y spots políticos: La campaña presidencial de Guillermo Lasso en YouTube y en TikTok (2021) by Esteban García Andrade

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Artificial intelligence and assisted reproductive technology: A comprehensive systematic review by Yen-Chen Wu, Emily Chia-Yu Su, Jung-Hsiu Hou, Ching-Jung Lin, Krystal Baysan Lin, Chi-Huang Chen

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