Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator by Lei Wang, Tao Shen, Chen Chen

“…A method based on multimodel modeling and predictive control is proposed for the optimal operation of direct-drive wind turbine with permanent magnet synchronous generator in this paper. …”
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An LJDRNN-based efficient energy intensity prediction in carbon fiber composite material manufacturing process by Rangaswamy Nikhil, Karthikeyan A G, Prabhu Loganathan, Tabrej Khan, Tamer A Sebaey

“…Hence, energy intensity prediction is required. Energy intensity is predicted by the prevailing research techniques; however, it is not predicted accurately. …”
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IMPROVING PREDICTION ACCURACY OF DEEP LEARNING FOR BRAIN CANCER DIAGNOSIS USING POLYAK-RUPPERT OPTIMIZATION by M Muthulekshmi, Azath Mubarakali, Y M Blessy

“…The PRO’s impacts on convergence rates, model robustness, and predictive accuracy across multiple cancer types are analyzed. …”
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Clustering and Prediction Analysis of the Coordinated Development of China’s Regional Economy Based on Immune Genetic Algorithm by Yang Yang

“…Genetic algorithm is a kind of prediction algorithm that has developed rapidly in recent years and is widely used. …”
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Evaluation of the Desire to Avoid Pregnancy Scale in the UK: a psychometric analysis including predictive validity by Geraldine Barrett, Jennifer Hall, Corinne Rocca

“…Objectives To evaluate the psychometric performance, including predictive validity, of a UK version of the Desire to Avoid Pregnancy (DAP) scale.Design Prospective cohort study for psychometric evaluation.Setting UK.Participants Women in the UK aged 15 years to menopause, who were not pregnant at the time of recruitment in October 2018, were eligible. 994 women completed the baseline survey and 90.2% of women eligible for the 12-month survey participated.Primary and secondary outcome measures The DAP scale was assessed according to key measurement properties of validity (construct (structural and hypothesis testing) and criterion (predictive)), reliability (internal consistency using Cronbach’s alpha and test–retest using intraclass correlation coefficients, ICC) and differential item functioning. …”
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Lactate and Bilirubin Index: A New Indicator to Predict Critically Ill Cirrhotic Patients’ Prognosis by Xiao-Fu Chen, Yuan Zhao, Wei-Zhen Chen, Xin-Tian Shao, Zhi-Ming Huang

“…The area under the receiver operating characteristic curve was used to assess the prediction accuracy of short- and long-term mortality of the clinical score. …”
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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

Subjects: “…material property prediction…”
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Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network by Yuchao Zheng, Heng Zhong, Yong Fang, Wensheng Zhang, Kai Liu, Jing Fang

“…A rockburst prediction model of the entropy weight grey relational backpropagation (BP) neural network is developed. …”
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Investigation of TASS/SMR Capability to Predict a Natural Circulation in the Test Facility for an Integral Reactor by Young-Jong Chung, Sung-Won Lim, Kyoo-Hwan Bae

“…The code should be validated using experimental data in order to confirm prediction capability. TASS/SMR predicts well the overall thermal-hydraulic behavior under various natural circulation conditions at the experimental test facility for an integral reactor. …”
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Application of Logistic Regression and Decision Tree Models in the Prediction of Activities of Daily Living in Patients with Stroke by Qile Zhang, Zheyu Zhang, Xiuqing Huang, Chun Zhou, Jian Xu

“…However, the factors predicting significant improvement in ADL (SI-ADL) have not yet been clarified. …”
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Elevated SAMD3 expression in T cells predicts improved survival in pancreatic ductal adenocarcinoma patients by Lingyi Fu, Enliang Zhou, Shuo Li, Ziteng Li, Liyan Wu, Xinxin Zhou, Lang Tian, Bokang Cui

“…Conclusion SAMD3 is a biomarker of T cell function, with elevated expression in T cells predicting improved survival. These findings highlight the potential of precision immunotherapy approaches for treating PDAC.…”
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Prediction of Pore Size Characteristics of Needle-Punched Nonwoven Geotextiles Subjected to Uniaxial Tensile Strains by Lin Tang, Qiang Tang, Aolai Zhong, Hanjie Li

“…A comparison has been made between the predictions of the original and the modified models. …”
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Convolutional neural network prediction of the particle size distribution of soil from close-range images by Enrico Soranzo, Carlotta Guardiani, Wei Wu

“…In this study, we propose a convolutional neural network approach for predicting the particle size distribution using soil image analysis. …”
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Comparative Analysis of Federated and Centralized Learning Systems in Predicting Cellular Downlink Throughput Using CNN by Kukuh Nugroho, Hendrawan, Iskandar

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The Algorithm for Predicting the Numerical Value of Salivary Cortisol Based on Heart Rate Variations in the Healthy Men by Mohammad Reza Noruzi, Marzieh Barzegar, Mahdi Alizadeh, Boshra Hatef

“…In each of the algorithms, a predicted value is compared with the actual value to determine which was more successful. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

Subjects: “…climate prediction…”
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Examining the Impact of Self-concept on Adolescents’ Self-regulated Learning: A Predictive Modeling Approach by Patricia Ayllón-Salas, José L. Arco-Tirado, Francisco D. Fernández-Martín

“…The results of the study suggest that academic, social, emotional, physical, and family self-concept could predict the use of self-regulated learning strategies (i.e., affective motivation and value motivation). …”
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Maximal Glycemic Difference, the Possible Strongest Glycemic Variability Parameter to Predict Mortality in ICU Patients by Thanaphruet Issarawattana, Rungsun Bhurayanontachai

“…This retrospective study aimed to determine the correlation of blood glucose and glycemic variability with mortality and to identify the strongest glycemic variability parameter for predicting mortality in critically ill patients. Methods. …”
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Predicting the Degree of Coronary Artery Stenosis Through Retinal Vascular Characteristics and Minimal Clinical Information by Zhang G, Ding Y, Ma T, Zhou S, Wang B, Chang X, Zeng Y

“…The combination of fundus vascular characteristics with a limited amount of clinical data (sex, age, height, weight, smoking history, creatinine, total cholesterol, fasting blood glucose) may serve as a non-invasive tool for predicting the presence or absence of severe stenosis in coronary arteries.Keywords: coronary artery stenosis, Gensini score, fundus images, fundus photography…”
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Risk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis by Anli Mao, Jie Su, Mingzhu Ren, Shuying Chen, Huafang Zhang

Subjects: “…Risk prediction model…”
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