A model to predict outlet stores’ ratings using value, quality, selection, and help by Khalid M. Dubas, Saeed M. Dubas, David J. Hill

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Correction: Machine learning-based e-commerce platform repurchase customer prediction model. by Cheng-Ju Liu, Tien-Shou Huang, Ping-Tsan Ho, Jui-Chan Huang, Ching-Tang Hsieh

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The Prediction of Serum C-Reactive Protein Concentration Using Nonlinear Mixed-Effects Model by Suk Joo Bae, Gyu Ri Kim, Sun Geu Chae, Yeesuk Kim

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Fungi-Kcr: a language model for predicting lysine crotonylation in pathogenic fungal proteins by Yong-Zi Chen, Yong-Zi Chen, Xiaofeng Wang, Zhuo-Zhi Wang, Haixin Li, Haixin Li

“…Moreover, our results indicate that a general predictive model performs better than species-specific models. …”
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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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Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data by Jukka Sirén, Panu Somervuo, Otso Ovaskainen

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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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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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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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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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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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Reducing Judicial Inconsistency through AI: A Review of Legal Judgement Prediction Models by Wu Yifan

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Simulate Congestion Prediction in a Wireless Network Using the LSTM Deep Learning Model by Nada Badr Jarah

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Prediction of delamination strength at interface between thin film and substrate by cohesive zone model by Do Van Truong, Hiroyuku Hirakata, Takayuki Katamura

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