Wind Power Prediction Based on a Hybrid Model of ICEEMDAN and ModernTCN-Informer by Jun He, Zijian Cheng, Zijie Zhong, Lizhuo Liang, Jianhui Ye

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Bayesian compositional generalized linear mixed models for disease prediction using microbiome data by Li Zhang, Xinyan Zhang, Justin M. Leach, A. K. M. F. Rahman, Carrie R. Howell, Nengjun Yi

“…Abstract The primary goal of predictive modeling for compositional microbiome data is to better understand and predict disease susceptibility based on the relative abundance of microbial species. …”
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DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination by Shikha Dwivedi, Neeraj Kumar Goyal, Hariom Chaudhari

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Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. by Karel G M Moons, Joris A H de Groot, Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G Altman, Johannes B Reitsma, Gary S Collins

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AHP-Guided Stacked Ensemble Modeling for Student Engagement Level Prediction in Online Education by Jingjing Fu, Linjie Luo, Zhifeng Zhong, Jiaming Qin

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Performance Comparison of Prediction of Hydraulic Jump Length Under Multiple Neural Network Models by Ziyuan Xu, Zirui Liu, Yingzi Peng

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Real-time prediction system for prevention of acute renal failure based on AI model by Shih-Chang Hsia, Szu-Hong Wang, Liang-Fu Chen, Bo-An Ko

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Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators by Rauf I. Rauf, Masad A. Alrasheedi, Rasheedah Sadiq, Abdulrahman M. A. Aldawsari

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Data-driven deep learning model for predicting ambient temperature: environment and solar energy by Reza Hassanian, Nashmin Yeganeh, Ásdís Helgadóttir, Runar Unnthorsson, Morris Riedel

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Assessing the health impacts of past occupational activities in adulthood: a predictive model approach by Raquel Aparicio Mera, Antonio Alonso Callejo, Maria Marin Farrona, Daniel Duclos Bastias, Samuel Manzano Carrasco, Leonor Gallardo, Jorge Garcia Unanue, Jose Luis Felipe

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Anemia Risk Prediction Model for Osteosarcoma Patients Post‐Chemotherapy Using Artificial Intelligence by Zhiping Su, Zhiwei Nong, Feihong Huang, Chengxing Zhou, Chaojie Yu

“…A web model application was created (https://anemic‐prediction‐of‐osteosarcoma.shinyapps.io/DynNomapp/). …”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…Finally, the obtained drug and protein feature vectors are combined to predict DTA through the fully connected layer. The source code can be downloaded from https://github.com/zhuziguang/GS-DTA . …”
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Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

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Prediction of rolling bearing performance degradation based on whale optimization algorithm and backpropagation model by Jingyue Wang, Yuntong Han, Haotian Wang, Jianming Ding, Cai Yi

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Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models by Oluwatobi Idowu, Nicholas Aderinto, Gbolahan Olatunji, Emmanuel Kokori

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Data-Driven Incipient Fault Prediction for Non-Stationary and Non-Linear Rotating Systems: Methodology, Model Construction and Application by Qingfeng Wang, Bingkun Wei, Jiahe Liu, Wensheng Ma

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Country-level indices in predictive models of helminth infections: Perspectives from Southeast Asia. by Nathkapach Kaewpitoon Rattanapitoon, Chutharat Thanchonnang, Schawanya Kaewpitoon Rattanapitoon

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ORF1ab codon frequency model predicts host-pathogen relationship in orthocoronavirinae by Phillip E. Davis, Joseph A. Russell

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Prediction Models for Postoperative Delirium of Cardiovascular Surgery (PODOCVS): Protocol for a Systematic Review by Xuling Zhao, Yike Wang, Liju Li, Meijuan Lan, Xiaodi He

“…Developing multivariable prediction models for stratifying PODOCVS risk would enable early, personalized interventions. …”
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LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm by Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim

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