A Fast SOC Balancing Method for MMC-BESS Based on Nonlinear Model-Predictive Control by Xiaofan Ji, Fengxiang Xie, Yuantang Qi, Yongdong Ji, Decun Niu, Qizhong Yan

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A Random Forest-Based Predictive Model for Student Academic Performance: A Case Study in Indonesian Public High Schools by Rifa Andriani Saputri, Asrianda Asrianda, Lidya Rosnita

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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates by Sudip Kunwar, Md Ali Babar, Diego Jarquin, Yiannis Ampatzidis, Naeem Khan, Janam Prabhat Acharya, Jordan McBreen, Samuel Adewale, Gina Brown‐Guedira

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Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results by Zhixu Pang, Wannian Wang, Pu Huang, Hongzhi Zhang, Siying Zhang, Pengkun Yang, Liying Qiao, Jianhua Liu, Yangyang Pan, Kaijie Yang, Wenzhong Liu

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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective S... by Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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Predicting infections with multidrug-resistant organisms (MDROs) in neurocritical care patients with hospital-acquired pneumonia (HAP): development of a novel multivariate predicti... by Lin Yang, Guangyu Lu, Haiqing Diao, Yang Zhang, Zhiyao Wang, Xiaoguang Liu, Qiang Ma, Hailong Yu, Yuping Li

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Short-term traffic flow prediction research based on ICEEMDAN-MPE-PSO-DELM model by Xiujuan Tian, Jinyong Ding, Huanying Liu, Xue Xing, Jiaojiao Liu

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Data Analytics and Machine Learning Models on COVID-19 Medical Reports Enhanced with XAI for Usability by Oliver Lohaj, Ján Paralič, Zuzana Paraličová, Daniela Javorská, Elena Zagorová

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Foretelling or foresight? Accounting-based bankruptcy prediction models and earnings quality in the case of Polish listed companies by Barbara Grabińska, Konrad Grabiński

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A recommender algorithm based on SVD ++model under trust network by Peiwu CHEN, Fangxing SHU

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Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing by Rajesh V․ Rajkolhe, Dr. Sanjay S․ Bhagwat, Dr. Priyanka V․ Deshmukh

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Development of a Mathematical Model for Personalized Estimation of Life Expectancy in Ukraine by Vladyslav Malanin, Illya Chaykovsky

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Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram by Ho-Jung Song, Ju-Hyuck Han, Sung-Pil Cho, Sung-Il Im, Yong-Suk Kim, Jong-Uk Park

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Semantic surprise predicts the N400 brain potential by Alma Lindborg, Lea Musiolek, Dirk Ostwald, Milena Rabovsky

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Prediction of potential invasion range of alien plant Peperomia pellucida in China by DONG Xu, CHEN Xiuzhi, LOU Yuxia, GUO Shuiliang

“…Among these ecological niche models, maximum entropy (MaxEnt) model has higher accuracy of predicted results with small sample size.According to 12 environmental variables from the global climate environment database (http://www.worldclim.org/) and 649 occurrence records of P. pellucida in the world from the global biodiversity database (http://data.gbif.org/welcome.htm) and the Chinese Virtual Herbarium (http://www.cvh.org.cn/cms/), a prediction of P. pellucida potential distribution was conducted using MaxEnt model and ArcGis 9.3 software. …”
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Predicting contrast sensitivity functions with digital twins by Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu

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GNSS Precipitable Water Vapor Prediction for Hong Kong Based on ICEEMDAN-SE-LSTM-ARIMA Hybrid Model by Jie Zhao, Xu Lin, Zhengdao Yuan, Nage Du, Xiaolong Cai, Cong Yang, Jun Zhao, Yashi Xu, Lunwei Zhao

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