Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder by Bochao Zou, Xiaolong Zhang, Le Xiao, Ran Bai, Xin Li, Hui Liang, Huimin Ma, Gang Wang

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Prediction Model of Powdery Mildew Disease Index in Rubber Trees Based on Machine Learning by Jiazheng Zhu, Xize Huang, Xiaoyu Liang, Meng Wang, Yu Zhang

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Unsupervised Classification and Remaining Useful Life Prediction for Turbofan Engines Using Autoencoders and Gaussian Mixture Models: A Comprehensive Framework for Predictive Maint... by Tomasz Lodygowski, Slawomir Szrama

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Predicting the outcomes of a single endoscopic correction of vesicoureteral reflux using a dextranomer/hyaluronic acid copolymer: selection of the optimal predictive model by V. I. Dubrov, V. V. Sizonov, I. M. Kagantsov, K. N. Negmatova, S. G. Bondarenko

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ARIMA-Kriging and GWO-BiLSTM Multi-Model Coupling in Greenhouse Temperature Prediction by Wei Zhou, Shuo Liu, Junxian Guo, Na Liu, Zhenglin Li, Chang Xie

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Risk prediction model for overall survival in lung cancer based on inflammatory and nutritional markers by Hongqi Zhou, Weiyun Jin, Lindi Li, Xiangwen Nie, Weiwei Wu, Ran Chen, Qizhen Xie, Haixia Wu, Weiwei Jiang, Min Tang, Jinhai Wang, Maoyuan Wang

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A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval by Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang

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A reproducible rat model for predicting incisional hernia recurrence: insights for clinical translation by Eric Toshiyuki Nakamura, Francisco Tustumi, Marina Alessandra Pereira, Leonardo Cardili, Ana Paula Gárate, Bruno Cogliati, Venancio Avancini Ferreira Alves, Sandra Nassa Sampietre, Cinthia Lanchotte Ferreira, Giovanna Mattos Ferreira, Michelly Moreira Campos, Ulysses Ribeiro Junior, Luiz Augusto Carneiro D’Albuquerque, Flávio Henrique Ferreira Galvão

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Development and external validation of a nomogram prediction model based on quantitative coronary angiography for predicting ischemic lesions: a multi-centre study by Shuai Yang, Shuai Yang, Shuang Leng, Shuang Leng, Zhouchi Wang, Jiang Ming Fam, Jiang Ming Fam, Adrian Fatt Hoe Low, Adrian Fatt Hoe Low, Ru-San Tan, Ru-San Tan, Ping Chai, Ping Chai, Lynette Teo, Lynette Teo, Chee Yang Chin, Chee Yang Chin, John C. Allen, Mark Yan-Yee Chan, Mark Yan-Yee Chan, Khung Keong Yeo, Khung Keong Yeo, Aaron Sung Lung Wong, Aaron Sung Lung Wong, Soo Teik Lim, Soo Teik Lim, Qinghua Wu, Liang Zhong, Liang Zhong, Liang Zhong

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Assessing health risk reduction from road traffic noise: The impact of vehicle composition and traffic speed in the transition to electric vehicles – A prediction in Sapporo City,... by Farah Elida Selamat, Junta Tagusari

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Predictive Methods for Thrombus Formation in the Treatment of Aortic Dissection and Cerebral Aneurysms: A Comprehensive Review by Kenji Komiya, Shuta Imada, Yoshihiro Ujihara, Shukei Sugita, Masanori Nakamura

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The effect of age-related sensorimotor changes on step-down strategy: a predictive simulation study by Lucas Schreff, Niels F. J. Waterval, Marjolein M. van der Krogt, Daniel F. B. Häufle, Roy Müller

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Construction and validation of a predictive in-hospital mortality nomogram in patients with staphylococcus aureus bloodstream infection by Xiangquan Xie, Chuncai Wu, Jing Zhou, Shaohong Jiang, Baoying Shen, Qiaoli Xu, Chuanbin Huang

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Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction by BingKun Yu, PengHao Tian, XiangHui Xue, Christopher J. Scott, HaiLun Ye, JianFei Wu, Wen Yi, TingDi Chen, XianKang Dou

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Data driven prediction of fragment velocity distribution under explosive loading conditions by Donghwan Noh, Piemaan Fazily, Songwon Seo, Jaekun Lee, Seungjae Seo, Hoon Huh, Jeong Whan Yoon

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A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults by Deepika Mohan, Peter Han Joo Chong, Jairo Gutierrez

“…Two AI models’ predictions are combined to produce accurate predictions: The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on vital signs using Fuzzy Logic, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on Activities of Daily Living (ADLs) using a Deep Belief Network (DBN). …”
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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

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Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi

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Hydraulic permeability prediction from attenuation in an oil well using the squirt flow model by Joseline Mena-Negrete, Raúl Del Valle García, Enrique Coconi-Morales

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Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics by Elin Theilen, Anna Rorich, Thomas Lange, Sebastian Bendak, Cora Huber, Hagen Schmal, Kaywan Izadpanah, Joachim Georgii

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