A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method by Yong Tian, Weifang Huang, Bojia Ye, Minhao Yang

“…In order to reduce the air pollution impacts by aircraft operations around airports, a fast and accurate prediction of air quality related to aircraft operations is an essential prerequisite. …”
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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…In this study, a quantum particle swarm optimization-neural network (QPSO-NN) model was built up to predict the corrosion current density in the process of stray current corrosion. …”
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Improvement in Explicit Prediction of Water Quality Using Wavelet-Based LSSVR and M5pRT by Rashmi Bhardwaj, Aashima Bangia

“…It can be observed that wavelet denoised signals fed into the least squares support vector regression (LSSVR) and M5 prime regression tree (M5pRT) predicted more accurately on the basis of the performance errors that are as follows: (a) root mean squared error (RMSE); (b) mean squared error (MSE); (c) mean absolute error (MAE). …”
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The algebraic extended atom-type graph-based model for precise ligand–receptor binding affinity prediction by Farjana Tasnim Mukta, Md Masud Rana, Avery Meyer, Sally Ellingson, Duc D. Nguyen

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Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites by Halil Ibrahim Kurt, Murat Oduncuoglu

“…The feed forward (FF) back-propagation (BP) neural network (NN) was used to predict the dry sliding wear behavior of UHMWPE composites. …”
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Nomogram for Predicting Postoperative Portal Venous Systemic Thrombosis in Patients with Cirrhosis Undergoing Splenectomy and Esophagogastric Devascularization by Miao Chen, Jian-Bo Han, Jia-Kang Zhang, Qing-Hua Shu, Yu-Feng Zhang, Yong-Xiang Yi

“…The aim of the study is to develop a nomogram for predicting postoperative portal venous systemic thrombosis (PVST) in patients with cirrhosis undergoing splenectomy and esophagogastric devascularization. …”
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Application of Facies Controlled Prestack Inversion Technology in Prediction of Deep Tight Gas in Continental Faulted Basin by Xiaowei Guan, Qian Meng, Chuanjin Jiang, Xuehai Chen, Rui She, Lidong Sun

“…It is difficult to predict tight sandstone gas in continental rift basin because of complex deep structure, fast transformation of sedimentary facies, large lateral variation of reservoir thickness, and tight and strong heterogeneity. …”
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The Diagnostic and Predictive Significance of Immune-Related Genes and Immune Characteristics in the Occurrence and Progression of IgA Nephropathy by Jian-Bo Qing, Wen-Zhu Song, Chang-Qun Li, Ya-Feng Li

“…To investigate the potential diagnostic and predictive significance of immune-related genes in IgA nephropathy (IgAN) and discover the abnormal glomerular inflammation in IgAN. …”
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Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism by Geunseok Yang, Jinfeng Ji, Jaehee Kim

Subjects: “…bug priority prediction…”
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Preoperative Hemoglobin Level Predicts Surgical Site Infections in Trauma Orthopedic Surgery: A Cohort Study by Williams Walana, Fredrick Gyilbagr, Alexis D. B. Buunaaim

“…Conclusion: In conclusion, our study demonstrates that preoperative hemoglobin level is a useful hematological parameter for predicting surgical site infection following trauma orthopedic surgery. …”
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Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer by Lin Ni, Lin Ni, He Li, Yanqi Cui, Wanqiu Xiong, Shuming Chen, Hancong Huang, Zhiwei Wang, Hu Zhao, Hu Zhao, Hu Zhao, Bing Wang, Bing Wang, Bing Wang

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A Deep Multi-Task Learning Model for OD Traffic Flow Prediction Between Highway Stations by Yaofang Zhang, Jian Chen, Jianying Rao

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Verification of Forecast Weather Surface Variables over Vietnam Using the National Numerical Weather Prediction System by Tien Du Duc, Lars Robert Hole, Duc Tran Anh, Cuong Hoang Duc, Thuy Nguyen Ba

“…The national numerical weather prediction system of Vietnam is presented and evaluated. …”
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MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction by Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu

“…Predicting drug–target interactions (DTIs) is a crucial step in the development of new drugs and drug repurposing. …”
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Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model by Mohammed Majeed Hameed, Mustafa Abbas Abed, Nadhir Al-Ansari, Mohamed Khalid Alomar

“…Furthermore, the hybrid models (i.e., SVR−PSO and SVR−GA) were used for the first time to predict CS of concrete where the cement component is partially replaced. …”
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Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children by Gilles Paradis, Melanie Henderson, Lisa Kakinami, Angelo Tremblay, Anna Smyrnova

“…WHO-SO was not more predictive than WHO-obesity, but CDC-SO was statistically inferior to CDC-obesity.Conclusion WHO-SO is statistically superior at predicting cardiometabolic risk than CDC-SO. …”
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Remaining Useful Life Prediction Techniques of Electric Valves for Nuclear Power Plants with Convolution Kernel and LSTM by Hang Wang, Min-jun Peng, Yong-kuo Liu, Shi-wen Liu, Ren-yi Xu, Hanan Saeed

“…Subsequently, LSTM which has an excellent ability in sequential analysis is used for predicting RUL. Experiments show that the proposed method could predict RUL more accurately compared to other typical machine learning and deep learning methods. …”
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A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning by Xin Zhang, Shuaiwen Tang, Taoyuan Liu, Bangcheng Zhang

“…A new residual life prediction method for complex systems based on Wiener process and evidential reasoning is proposed to predict the residual life of complex systems effectively. …”
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TOPBP1 as a potential predictive biomarker for enhanced combinatorial efficacy of olaparib and AZD6738 in PDAC by Xiao-Mei Tang, Min-Min Shi, Jia-Cheng Wang, Yi-Jin Gu, Yu-Ting Dai, Qin-Xin Yang, Jia Liu, Ling-Jie Ren, Xin-Yun Liu, Chun Yang, Fang-Fang Ma, Ji-Bing Liu, Hong Yu, Da Fu, Yun-Feng Wang

“…Notably, this combination therapy was more effective in PDAC cell lines exhibiting high TOPBP1 expression, indicating that TOPBP1 may serve as a useful predictive biomarker. In conclusion, TOPBP1 is a potential marker for optimizing the olaparib and AZD6738 combination therapy in PDAC. …”
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Comparison of Biparametric and Multiparametric Prostate Magnetic Resonance Imaging in Predicting Oncologic Outcomes After Radical Prostatectomy by Ozgur EFILOGLU, Nesrin GUNDUZ, Ayberk IPLIKCI, Mahmut Bilal DOGAN, Mehmet Caglar CAKICI, Turgay TURAN, Asif YILDIRIM

“…Conclusions: This study revealed that mpMRI did not contribute in predicting BCR after RRP compared to bpMRI.…”
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