Crystal structure prediction based on diffusion model and graph network optimization by Tao Hong, Jiong Yang, Guixin Cao

Subjects: “…crystal structure prediction…”
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Feasibility of machine learning–based modeling and prediction to assess osteosarcoma outcomes by Qinfei Zhao, Weiquan Hu, Yu Xia, Shengyun Dai, Xiangsheng Wu, Jing Chen, Xiaoying Yuan, Tianyu Zhong, Xuxiang Xi, Qi Wang

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Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season by YANG Shao-qiong

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A Multilayer Residual Dendritic Neural Model for Predicting Stroke Prognosis by Yuxi Wang, Haochang Jin, Maocheng Cao, Xiong Xiao, Li Wang

Subjects: “…Dendritic neural model…”
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A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

“…Due to the deficiency of incomplete influencing factors and rough prediction accuracy, this paper proposes a data-driven spatial-temporal model to predict tunnel deformation behavior. …”
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Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

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Mortality risk prediction model in AIDS patients with pneumocystis pneumonia in China by Xi Wang, Letian Liu, Wen Wang, Yang Zhang, Hui Chen, Zhangli Wang, Jianwei Li, Yue Gao, Yanqun Huang, Lijun Sun, Tong Zhang, Aixin Li

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A Novel Formula Based Model for Predicting Skeletal Maturation in Maharashtra by Prachi Gaonkar, Ajay Kubavat, Shailesh Shenava, Robin Mathew, Sandeep Singh, Truppti P. Sonone, Chinmaya Hawaldar, Abhay Paul

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Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model by M. Kathleen Brennan, Gregory J. Hakim, Edward Blanchard‐Wrigglesworth

“…Abstract We evaluate Linear Inverse Models (LIMs) trained on last millennium model data to predict Arctic sea‐ice concentration, thickness, and other atmospheric and oceanic variables on monthly timescales. …”
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Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins by Marco Dal Molin, Dmitri Kavetski, Carlo Albert, Fabrizio Fenicia

“…Abstract Calibration of precipitation‐streamflow models to streamflow signatures is a promising approach for streamflow prediction in ungauged basins (PUB). …”
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Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

“…To address this, we combined neutrosophic theory—a mathematical framework that accounts for truth, falsity, and indeterminacy—with deep learning, which excels at learning complex data relationships, to predict student outcomes such as dropout rates. Evaluating the model on student data, including attendance and grades, showed superior accuracy, achieving a determination coefficient of 0.95, demonstrating the approach's potential for identifying at-risk students and enabling targeted interventions.…”
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Quality Prediction Model Based on Novel Elman Neural Network Ensemble by Lan Xu, Yuting Zhang

“…In this paper, we propose a novel Elman NN ensemble model for quality prediction during product design. …”
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Construction of a prediction model for severe pneumonia complicate with respiratory failure by Siyu GAO, Sheng ZHANG, Xi CHEN, Zhixia ZHANG, Yumei YANG

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The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion by Maja Reimann, Korkut Avsar, Andrew DiNardo, Torsten Goldmann, Gunar Günther, Michael Hoelscher, Elmira Ibraim, Barbara Kalsdorf, Stefan Kaufmann, Niklas Köhler, Anna Mandalakas, Florian Maurer, Marius Müller, Dörte Nitschkowski, Ioana Olaru, Cristina Popa, Andrea Rachow, Thierry Rolling, Helmut Salzer, Patricia Sanchez-Carballo, Maren Schuhmann, Dagmar Schaub, Victor Spinu, Elena Terhalle, Markus Unnewehr, Nika Zielinski, Jan Heyckendorf, Christoph Lange

“…Objective: Identifying and validating a whole blood-based RNA signature model to predict microbiological treatment responses in patients on tuberculosis therapy. …”
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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

Subjects: “…Pi-GRU model…”
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Predicting hypoglycemia in elderly inpatients with type 2 diabetes: the ADOCHBIU model by Rui-Ting Zhang, Yu Liu, Chao Sun, Quan-Ying Wu, Hong Guo, Gong-Ming Wang, Ke-Ke Lin, Jing Wang, Xiao-Yan Bai

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Prediction model of gear tooth flank fracture considering interfacial friction by ZHI YanFeng, WANG XiaoPeng, CAO ZhiGang, GUAN HongJie, YU FeiPeng, FAN RuiLi, LI HaiXia, WAN ShaoXiong

“…Based on the contact theory and elastic mechanics, a mathematical model for calculating the internal field stress of gear teeth with interfacial friction and the stress intensity with hardness gradient was established, and the risk prediction of gear tooth flank fracture was carried out. …”
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Adaptive dynamic prediction model of mining subsidence aided by measured data by Yuanfei Chen, Jianfeng Zha, Lei Wang

“…The average relative RMSE of predicted dynamic subsidence for each period is 4.3%, markedly lower than the 9.1% achieved by traditional prediction models. …”
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Machine Learning Techniques to Model and Predict Airflow Requirements in Underground Mining by Maria Karagianni, Andreas Benardos

“…The case examined is about underground bauxite mining operations, the ventilation characteristics and requirements of which have been firstly developed and modelled into a validated digital twin. With this twin model, several scenarios are developed and evaluated and more importantly data are gathered, allowing for the training of the ML algorithms used to assess and predict the required ventilation airflow, taking into account air quality data, the number of workers, and machine fleet.…”
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An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction by Heyao Gao, Hongfei Jia, Lili Yang

“…A hybrid predicting model based on deep learning is proposed in this paper, including three steps. …”
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