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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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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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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Presenting an Optimal Algorithm for Resource Scheduling and Code Partition in Mobile Cloud Computing by Raziyeh Ghasemi, Farzaneh Famoori

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Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks by A. Hu, E. Camporeale, B. Swiger

Subjects: “…machine learning…”
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Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and Tools by Mohd Mustaqeem, Mahfooz Alam, Suhel Mustajab, Faisal Alshanketi, Shadab Alam, Mohammed Shuaib

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A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction by Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora

Subjects: “…Machine learning…”
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A FAULT DIAGNOSIS METHOD BASED ON SUPPORT VECTOR MACHINE OPTIMIZED BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM by HUANG XiaoLu, ZHOU XiangZhen

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Development of a neural network for diagnosing the risk of depression according to the experimental data of the stop signal paradigm by M. O. Zelenskih, A. E. Saprygin, S. S. Tamozhnikov, P. D. Rudych, D. A. Lebedkin, A.  N. Savostyanov

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