Dynamic modeling and prediction of wax deposition thickness in crude oil pipelines by Martins Obaseki, Paul T. Elijah

“…A molecular diffusion and aging mechanism model by Fick’s law is applied here to better predict wax deposition thickness in crude oil pipelines. …”
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Construction and validation of a nomogram model for predicting diabetic peripheral neuropathy by Hanying Liu, Qiao Liu, Mengdie Chen, Chaoyin Lu, Ping Feng

“…The Hosmer–Lemeshow test and calibration curves revealed high consistency between the predicted and actual results of the nomogram. DCA demonstrated that the nomogram was valuable in clinical practice.ConclusionsThe DPN nomogram prediction model, containing 7 significant variables, has exhibited excellent performance. …”
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Strength Prediction Model for Cohesive Soil–Rock Mixture with Rock Content by Yang Sun, Jianyong Xin, Junchao He, Junping Yu, Haibin Ding, Yifan Hu

“…This equation effectively predicts the shear strength of the cohesive SRM with different P_BV values.…”
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Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks by Xiufeng Wang, Chunmeng Wang, Gang Cui, Qing Yang

“…Simulation results show that the link duration model predicts link duration with the average accuracy of 10% and 20% in highway and city scenarios, respectively.…”
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Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…To ensure the safe and efficient extraction of coal mines and reduce sudden roof accidents, this study proposes a novel multivariate long-term sequence mine pressure prediction model—the Empirical Mode Decomposition Linear Model (EMD–Mixer). …”
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Deep Learning Model for Prediction of Dementia Severity based on EEG Signals by Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad

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Short-Term Wind Speed Prediction Using EEMD-LSSVM Model by Aiqing Kang, Qingxiong Tan, Xiaohui Yuan, Xiaohui Lei, Yanbin Yuan

“…Furthermore, the scatter diagrams of predicted versus actual wind speed and histograms of prediction errors are presented to verify the superiority of the hybrid model in short-term wind speed prediction.…”
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Construction of ubiquitination-related risk model for predicting prognosis in lung adenocarcinoma by Dawei Sun, Xiaohong Duan, Ning Li, Ou Qiao, Yingjie Hou, Zihuan Ma, Siyao Liu, Yanhua Gong, Zichuan Liu

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Innovative Study on Volatility Prediction Model for New Energy Stock Indices by Yanguo Li, Chao Long

“…To address this, this paper proposes a deep learning ensemble model based on decomposition optimization for predicting the volatility of new energy stock indices. …”
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A theoretical model for predicting the Peak Cutting Force of conical picks by Gao Kuidong, Du Changlong, Jiang Hongxiang, Liu Songyong

“…In order to predict the PCF (Peak Cutting Force) of conical pick in rock cutting process, a theoretical model is established based on elastic fracture mechanics theory. …”
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Dynamic tire-pavement friction prediction with an integrated sensing-modeling approach by Baiyu Jiang, Xunjie Chen, Hao Wang, Jingang Yi

“…This study proposed an intelligent tire solution to predict tire-pavement friction from tire sensors using an integrated modeling-sensing approach. …”
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Establishment and validation of a model for predicting depression risk in stroke patients by Fangbo Lin, Meiyun Zhou

“…Calibration plots confirmed high predictive accuracy, while DCA revealed substantial clinical utility. …”
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Uncertainties in the finite-time Lyapunov exponent in an ocean ensemble prediction model by M. Matuszak, J. Röhrs, P. E. Isachsen, P. E. Isachsen, M. Idžanović

“…Generally, trajectory simulations, such as Lagrangian trajectories, inherit uncertainty from the underlying ocean model, bearing substantial uncertainties as a result of chaotic and turbulent flow fields. …”
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Design and Implementation of an LSTM Model with Embeddings on MCUs for Prediction of Meteorological Variables by Jhan Piero Paulo Merma Yucra, David Juan Cerezo Quina, German Alberto Echaiz Espinoza, Manuel Alejandro Valderrama Solis, Daniel Domingo Yanyachi Aco Cardenas, Andrés Ortiz Salazar

“…The use of recurrent neural networks has proven effective in time series prediction tasks such as weather. However, their use in resource-limited systems such as MCUs presents difficulties in terms of both size and stability with longer prediction windows. …”
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Application and Comparative Study of Large Language Model in Early Prediction of Glaucoma by Xu Manyi

“…This paper aims to explore and compare the application effects of several advanced large language models in the early prediction of glaucoma. The study selected a variety of large language models, including Chat Generative Pre-trained transformer (ChatGPT), to build a glaucoma prediction model and analyze clinical data, genetic information, and lifestyle data of patients. …”
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Construction and application of gold price prediction model based on historical data by Xing Xuexia, Yan Qingqing, Wang Yutong

“…This article delves into the methods and practices of building gold price prediction models based on historical data. Predictive models were constructed using machine learning methods such as random forests and BP neural networks by collecting and preprocessing data on gold prices and related economic indicators from September 2022 to December 2023. …”
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Development and validation of a model for predicting myopia in young children in China by Ting Hu, Rong Wu, Xi He, Zi-Yu Hua, Tian-Li Peng, Xiao-Yan Peng, Shi-Ming Li

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Optimized Ensemble Model to Predict the Compatibility of Automobiles With Hybrid Electric Vehicles by Rohit Bajaj, Deepika Sharma, Ruchika Gupta, Shonak Bansal, Payal Patial, Krishna Prakash

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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…In addition, the conventional model faces overfitting issues in training data, which causes prediction inaccuracies. …”
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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

“…These results underscore the importance of additional information or more complex models to enhance prediction accuracy alongside a trade-off between computational complexity and accuracy. …”
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