An Intelligent Deep Learning Model for CO2 Adsorption Prediction by Hanan Ahmed Hosni Mahmoud, Nada Ali Hakami, Alaaeldin M. Hafez

“…Three tree machine learning models, namely, gradient decision model (GDM), scalable boosting tree model (SBT), and gradient variant decision tree model (GVD), were fused. …”
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A donor heart scoring model to predict transplant outcomes by E. A. Tenchurina, M. G. Minina

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Research on Yield Prediction Model Driven by Mechanism and Data Fusion by Xin Meng, Xingyu Liu, Hancong Duan, Ze Hu, Min Wang

“…Then, a Global–Local Branch Prediction Model is designed to enhance both long-term trend estimation and local feature capture in a production time series. …”
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Neural network implementation of model predictive control with stability guarantees by Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides

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A predictive model for prognosis in infants with surgical necrotizing enterocolitis by Jin Yu Chen, Qian Yang, Li Rong Dai, Wei Yue Wu, Wei Zuo, Li Li Wang

“…This study aimed to establish a nomogram to predict the prognosis of infants with surgical NEC. …”
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Risk Factor and Risk Prediction Modeling of Rectal Neuroendocrine Tumors by Liang XIE, Chang LIU, Jianhua LI, Jianhui LI, Xin HAO, Haiyang HUA

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Predictive validity of the model for calculating of echocardiographic parameters in healthy patients by A. A. Sokolov, M. V. Soldatenko, A. V. Smorgon

“…Aim. Development of a model for calculating of predicted values of key echocardiography (EchoCG) parameters in patients of different ages and staturelweight values.Material and methods. …”
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Traffic Flow Prediction Based on Fractional Seasonal Grey Model by SHEN Qinqin; ZHANG Zhijie; QI Xucun; YUE Xinyi

“…The numerical results show that the average absolute percentage of the new model has a fitting error of 8. 1260% and a prediction error of 7. 6216%, which are much better than those of the seasonal rolling GM(1, 1)model, fractional GM(1, 1) model and seasonal discrete GM(1, 1) model.…”
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A Stock Prediction Model Based on Cart and Boosting Algorithm by WANG Yu, CHEN De-yun, TANG Yuan-xin

Subjects: “…stock prediction model…”
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A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

“…<h4>Background and objective</h4>Most previous studies adopted single traditional time series models to predict incidences of malaria. A single model cannot effectively capture all the properties of the data structure. …”
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Prediction of Landslide Displacement Based on EMD-TAR Combined Model by CHEN Xi, GAO Yaping, TU Rui

Subjects: “…prediction of landslide displacement…”
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Fetal health classification with predictive algorithm by using Ensemble Model by Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash

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Flight delay stacking ensemble prediction model for severe weather by SUN Yue, DING Jianli

“…Weather factors, as the primary factors affecting flight delays, have an important impact on flight delay prediction. Confronting the severe weather, multi-classification prediction of flight delay duration was made, and a Stacking-based integrated flight delay prediction model was proposed for the problems of low prediction accuracy and poor stability of traditional single model. …”
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Air Quality Index Prediction Using DNN-Markov Modeling by Roba Zayed, Maysam Abbod

“…DNN-Markov modeling techniques are used to predict air quality, based on environmental conditions at peak hours. …”
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Evaluation of changes in prediction modelling in biomedicine using systematic reviews by Lara Lusa, Franziska Kappenberg, Gary S. Collins, Matthias Schmid, Willi Sauerbrei, Jörg Rahnenführer, on behalf of the Topic Group for High-dimensional data of the STRATOS initiative

“…Abstract The number of prediction models proposed in the biomedical literature has been growing year on year. …”
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Predictive Model for Industrial Accident: Based on a Case Study by mohsen falahati, mojtaba zokaei

“…Structural Equation Modeling (SEM) was employed to predict and determine the impact of each variable influencing  accident occurrences. . …”
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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…With the goal of addressing the difficulty of rapidly identifying the source of fire in commercial buildings, this study builds a numerical fire model based on the fire dynamics simulator (FDS) and combines it with a hybrid model to predict the location of a fire source. …”
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Modeling and prediction of foodstuff output based on ε-SVR method by DONG Mei-shuang, HE Huan, TONG Xiao-xing

“…The foodstuff output data of year 1991—2002 were applied as calibration set to develop ε-SVR model, and the prediction precision was 98.47%. The foodstuff output of year 2003 and 2004 was used as validation set, and the prediction precision by the above developed ε-SVR model were 97.5% and 95.8% for year 2003 and 2004, respectively. …”
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Research on optimization of basic rail top bending prediction model by Chunjiang Liu, Zhikui Dong, Long Ma, Xinyu Hou, Nanbing Qiao

“…The final top bending prediction model was obtained by combining the load-deflection model in the bending stage and the rebound stage. …”
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Multi-model assessment and thermodynamic prediction for oxalate-tungstate complexes by Yong Liang, Ting Pu, Zanhong Chen, Yinliang Liu, Congyu Zhang

“…The results indicate that the electrostatic model exhibits the optimal predictive performance: in the carbonate system, the predicted average relative deviation (ARD%) is less than 3.21 %; in the oxalate system, the predicted average relative deviation is less than 3.13 %; and in the molybdate/tungstate system, the predicted ARD% is 6.83 %. …”
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