Predicting socio-cultural and individual constraints to regular physical activity during the outbreak of covid-19 by Leily Pashapoor, Rosa Rahavi Ezabadi, Pari Khalil Marandi

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Subregion-based radiomics analysis for predicting the histological grade of clear cell renal cell carcinoma by Xue Lv, Xiao-Mao Dai, Dai-Quan Zhou, Na Yu, Yu-Qin Hong, Qiao Liu

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A cooperative stochastic configuration network based on differential evolutionary sparrow search algorithm for prediction by Wenhao Fang, Bo Shen, Anqi Pan, Lei Zou, Baoye Song

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Comparison of Different Prognostic Scoring Systems in Predicting the Severity and Outcome in Alcoholic Hepatitis in Indian Patients by Priyank Dhiman, Ritu Grewal, Pankaj Puri, Neel Kanth Issar, AS Prasad, Rahul Jain, Manasvi Kalra, Harshul Jain

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Oversampling based on generative adversarial networks to overcome imbalance data in predicting fraud insurance claim by Ranu Agastya Nugraha, Hilman Ferdinandus Pardede, Agus Subekti

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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

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PREDICTION OF UNIT VALUE INDEX OF EXPORTS OF SITC 897 JEWELRY AND PRECIOUS GOODS GROUP IN INDONESIA by Grace Lucyana Koesnadi, Bagas Shata Pratama, Dzuria Hilma Qurotu Ain, Elly Pusporani, M. Fariz Fadillah Mardianto

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EMGP-Net: A Hybrid Deep Learning Architecture for Breast Cancer Gene Expression Prediction by Oumeima Thâalbi, Moulay A. Akhloufi

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Ultra Short-Term Charging Load Forecasting Based on Improved Data Decomposition and Hybrid Neural Network by Shaoyang Yin, Zhaohui Chen, Wanyuan Liu, Zhiwen Su

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Enhancing Predictive Capabilities for Identifying At-Risk Stocks Using Multivariate Time-Series Classification: A Case Study of the Thai Stock Market by Katsamapol Petchpol, Laor Boongasame

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Predicting Mortality and Cirrhosis-Related Complications with MELD3.0: A Multicenter Cohort Analysis by Jihye Lim, Ji Hoon Kim, Ahlim Lee, Ji Won Han, Soon Kyu Lee, Hyun Yang, Heechul Nam, Hae Lim Lee, Do Seon Song, Sung Won Lee, Hee Yeon Kim, Jung Hyun Kwon, Chang Wook Kim, U Im Chang, Soon Woo Nam, Seok-Hwan Kim, Pil Soo Sung, Jeong Won Jang, Si Hyun Bae, Jong Young Choi, Seung Kew Yoon, Myeong Jun Song

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Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction by Yuzhou Lin, Yuyang Zhang, Wenjuan Zhong, Wenxuan Xiong, Zhen Xi, Yi-Feng Chen, Mingming Zhang

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Enhanced FCS-MPC for DFIG Under Non-Ideal Grid Conditions by Yuri O. YuriCota, Jefferson S. Costa, Angelo Lunardi, Igor Oliani, Ekom E. Okpo, Alfeu J. Sguarezi Filho

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Applying Semi-AutoML for Vessel Traffic Flow Prediction: Case Studies of Two Ports by Abdeltif Boujamza, Mohamed El Hafta, Saâd Lissane Elhaq, Ahmed Loukili

“…The performance of the models in predicting vessel traffic flow was evaluated using different metrics. …”
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The impact of kidney function on Alzheimer’s disease blood biomarkers: implications for predicting amyloid-β positivity by Burak Arslan, Wagner S. Brum, Ilaria Pola, Joseph Therriault, Nesrine Rahmouni, Jenna Stevenson, Stijn Servaes, Kübra Tan, Paolo Vitali, Maxime Montembeault, Jesse Klostranec, Arthur C. Macedo, Cecile Tissot, Serge Gauthier, Juan Lantero-Rodriguez, Eduardo R. Zimmer, Kaj Blennow, Henrik Zetterberg, Pedro Rosa-Neto, Andrea L. Benedet, Nicholas J. Ashton

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Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities by Caceja Elyca Anak Bundak, Mohd Amiruddin Abd Rahman, Nurin Syazwina Mohd Haniff, Nur Syaiful Afrizal, Khairul Adib Yusof, Muhammad Khalis Abdul Karim, Md Shuhazlly Mamat, Romi Fadillah Rahmat

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Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review by Camilo Scherkl, Theresa Dierkes, Michael Metzner, David Czock, Hanna M. Seidling, Walter E. Haefeli, Andreas D. Meid

“…Methods We have conducted a scoping review (OSF registration: https://doi.org/10.17605/OSF.IO/P93TZ ) on prediction models for ADR to collect potential use cases for Prescribing Monitoring. …”
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Aerodynamic Drag Coefficient Prediction of a Spike Blunt Body Based on K-Nearest Neighbors by Jonathan Arturo Sánchez Muñoz, Christian Lagarza-Cortés, Jorge Ramírez-Cruz

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ExAutoGP: Enhancing Genomic Prediction Stability and Interpretability with Automated Machine Learning and SHAP by Yao Rao, Lilian Zhang, Lutao Gao, Shuran Wang, Linnan Yang

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Identifying and Predicting the Lagrangian Coherence of Eddies in the Gulf of Mexico Using Machine Learning and Satellite Observations by Luna Hiron, Olmo Zavala‐Romero, Eric P. Chassignet, Philippe Miron, Bulusu Subrahmanyam

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