Prediction and Analysis of the Quality of Multimedia Professional Talents Combining Multiobjective Data Fuzzy Evolution by Ao Luo, Yongfeng Yang

“…In response to the relatively huge error, low efficiency, and low accuracy in the prediction and analysis data on the quality of multimedia professional talents at present, an analytical method for the prediction of the quality of multimedia professional talents based on the multiobjective data fuzzy evolutionary algorithm is proposed in this paper. …”
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Butyrylcholinesterase Levels on Admission Predict Severity and 12-Month Mortality in Hospitalized AIDS Patients by Lijun Xu, Biao Zhu, Ying Huang, Zongxing Yang, Jia Sun, Yan Xu, Jinlei Zheng, Sabine Kinloch, Michael T. Yin, Honglei Weng, Nanping Wu

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Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction by Fang Lyu, Yuxin Zhong, Qingliu He, Wen Xiao, Xiaoping Zhang

“…The risk score model exhibited a high degree of predictive accuracy for survival outcomes in ccRCC. …”
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Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic by Francesco Liberati, Manuel Donsante, Chiara Maria Francesca Cirino, Andrea Tortorelli

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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

“…This study employs machine learning (ML) techniques to predict the compressive strength (fc′) of fly ash-based geopolymer concrete, utilizing a comprehensive set of experimental data. …”
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Prediction of Small-Strain Dynamic Properties on Granulated Spherical Glass Bead-Polyurethane Mixtures by Gyeong-o Kang, Woong Choi, Changho Lee

“…This paper aims to propose predictive equations for the small-strain shear modulus (Gmax) and small-strain damping ratio (Dmin) of a granulated mixture with plastic and nonplastic materials to reduce the dynamic energy of the ground. …”
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Correlation feature and instance weights transfer learning for cross project software defect prediction by Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai

“…Abstract Due to the differentiation between training and testing data in the feature space, cross‐project defect prediction (CPDP) remains unaddressed within the field of traditional machine learning. …”
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Prediction of some peroxidase functions in <i>Arabidopsis thaliana</i> L. by bioinformatic search by A. S. Tugbaeva, A. A. Ermoshin, I. S. Kiseleva

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Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation by Judy Day, Jonathan Rubin, Gilles Clermont

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Flight Loads Prediction of High Aspect Ratio Wing Aircraft Using Multibody Dynamics by Michele Castellani, Jonathan E. Cooper, Yves Lemmens

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Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

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Pre-surgery Factors to Predict Mortality and Major Complications in Coronary Surgery with no Extracorporeal Circulation by Yanier Coll Muñoz, Francisco Javier Vázquez Roche, Dayan García Cuesta, René M. Cabrera Núñez, Claudio R. Pérez Alfonso, Lázaro de la Cruz Avilés

“…<strong>Background: </strong>mortality predicting models in cardiac surgery have been created based on certain population groups. …”
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Reliability-Based Fatigue Life Prediction for Complex Structure with Time-Varying Surrogate Modeling by Lu-Kai Song, Guang-Chen Bai, Cheng-Wei Fei, Jie Wen

“…The reliability-based fatigue life prediction framework is illustrated in respect of the TV/PSO-GRNN surrogate model. …”
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Role of Computed Tomography in Predicting Programmed Death Ligand-1 Positivity in Gastric Adenocarcinoma by Yu ZH, Ma WQ, Ren JW, Zhang XT, Chu L

“…A nomogram was developed to assess the model’s predictive performance, which was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). …”
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Diagnostic and Predictive Values of Inflammatory Factors in Pathology and Survival of Patients Undergoing Total Cystectomy by Xingxing Tang, Yudong Cao, Jia Liu, Shuo Wang, Yong Yang, Peng Du

“…For RFS, Kaplan-Meier suggested PLR might be predictive when the cut-off value was 266.70 (P=0.044), but the subsequent Cox proportional hazards regression analysis showed that all IFs had no predictive value for OS and RFS. …”
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Speed Distribution Prediction of Freight Vehicles on Mountainous Freeway Using Deep Learning Methods by Yuren Chen, Yu Chen, Bo Yu

“…Current speed prediction models mostly focus on operating speed, which is hard to reveal the overall condition of driving speed on the road section. …”
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Prediction of the Styrene Butadiene Rubber Performance by Emulsion Polymerization Using Backpropagation Neural Network by Yan-jiang Jin, Ben-xian Shen, Ruo-fan Ren, Lei Yang, Jun Sui, Ji-gang Zhao

“…It would pave the way for adjustment of the SBR formulation and prediction of the product performances.…”
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Absorbed Dose Measurements for Teletheraphy Prediction of Superficial Dose Using Halcyon Linear Accelerator by Raymond Njinga, Adeneye Samuel, Akinyode Ajimo, Christopher Olowookere

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Assessing hazard prediction and risk calibration skills in experienced and novice e-scooter riders by Petya Ventsislavova, Lydia Harrison, Thom Baguley

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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

“…The aim of this paper is to predict financing methods to support decision-making for startup founders and their investors. …”
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