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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Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks by Ghazi Gharsallah, Georges Kaddoum

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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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Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. by Huda Kutrani, Jim Briggs, David Prytherch, Claire Spice

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Optimized machine learning mechanism for big data healthcare system to predict disease risk factor by Venkata Nagaraju Thatha, Silpa Chalichalamala, Udayaraju Pamula, D. Pramodh Krishna, Manjunath Chinthakunta, Srihari Varma Mantena, Shariff Vahiduddin, Ramesh Vatambeti

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Literature review and research progress of coal and gas outburst prediction indicators based on CiteSpace by Yi LIU, Shouqing LU, Kang ZHAO, Congmeng HAO, Yujin QIN, Zhanyou SA, Jie LIU, Yongliang ZHANG, Rong ZHANG

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Trend prediction and influencing factors of the production comparative advantage of China's main apple-producing provinces. by Wenping Ning, Fuhong Zhang, Meiling Zhang

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An Immunogenic Cell Death-Related Gene Signature Predicts the Prognosis and Immune Infiltration of Cervical Cancer by Fangfang Sun, Yuanyuan Sun, Hui Tian

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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

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Interpretability-guided RNA N6-methyladenosine modification site prediction with invertible neural networks by Guodong Li, Xiaorui Su, Yue Yang, Dongxu Li, Ziwen Cui, Xun Deng, Pengwei Hu, Lun Hu

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Predicting current and future potential distribution of Changnienia amoena in China under global climate change by Xingjian Liu, Qimeng Sun, Tingting Li, Shu’an Wang, Jiahao Shen, Yueqi Sun, Mimi Li

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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches by Alahmari Turki S., Farooq Furqan

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Using weak signals to predict spontaneous breathing trial success: a machine learning approach by Romain Lombardi, Mathieu Jozwiak, Jean Dellamonica, Claude Pasquier

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