Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…Subsequently, a structural health evaluation model based on the fusion of multi-source information is proposed, facilitating the assessment of the immersed tube’s condition and enabling predictions regarding its status over the subsequent 12 to 24 h. …”
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Temperature surface evaluation of natural environments fragments with application of electrothermal analogy method by V. V. Lobunov, T. V. Borbot'ko

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Evaluation of bankruptcy yields as a method of forecasting the financial and economic state of an enterprise by О.V. Shavurska

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Research on the Comprehensive Evaluation Method of Tight Reservoir Effectiveness Based on Multiparameter Fusion by ZHANG Huafeng, QIU Longwei, WANG Jun, CHEN Ganghua, YANG Yongqiang, GUO Chunqing, HE Yulong

“…The actual data processing results show that the prediction accuracy of the established lithology identification method is high, and the comprehensive evaluation results are in agreement with the data of oil test and production test. …”
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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

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Comparison of Prediction Models for Sonic Boom Ground Signatures Under Realistic Flight Conditions by Jacob Jäschke, Samuele Graziani, Francesco Petrosino, Antimo Glorioso, Volker Gollnick

“…This paper presents a comparative analysis of simplified and high-fidelity sonic boom prediction methods to assess their applicability in the conceptual design of supersonic aircraft. …”
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Evaluating factors that impact scoring an open response situational judgment test: a mixed methods approach by Muhammad Zafar Iqbal, Rodica Ivan, Colleen Robb, Jillian Derby

“…This mixed methods study aims to address this gap by exploring the construct-(ir)relevant factors that may impact assessors’ evaluation of professionalism in open response SJTs.MethodsFor this study, we used data from Casper, an open response SJT commonly used in professional program admissions. …”
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Genetic Evaluation of Resilience Indicators in Holstein Cows by Eva Kašná, Ludmila Zavadilová, Jan Vařeka

“…The single-step genomic prediction method (ssGBLUP) was used for genomic evaluation. …”
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Breast cancer risk assessment based on a predictive model: evaluation of risk factors among Japanese women by Michiyo Yamada, Takashi Chishima, Takashi Ishikawa, Kazutaka Narui, Sadatoshi Sugae, Peter J. Tonellato, Itaru Endo

“…However, there are no well-studied and validated BC risk prediction models for Japanese women. We developed accessible predictive models for Japanese women with optimal variables to evaluate risk factors for use by both medical institutions and women for primary BC prevention and to increase the BC screening rate. …”
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Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study by Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

“…ML models were constructed to evaluate the predictive value of maternal parameter changes on preeclampsia combined with FGR. …”
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Investigating artificial intelligence in predicting and evaluating sperm and embryo quality in the in vitro fertilization (IVF): a systematic review by Shahrzad kaveh, Aida Ghaffari, Solmaz Sohrabei

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Predictive value of total CSVD burden scores in cognitive impairment among SLE patients on the basis of MRI evaluation by Lei Wang, Guimin Zheng, Xiuchuan Jia, Yingmin Chen

“…To explore the relationship between total CSVD burden scores and cognitive dysfunction in SLE patients and to analyze its predictive value. Methods The Montreal Cognitive Assessment (MoCA) score was used to evaluate the cognitive function of 50 patients with SLE, and the total load score of patients with CSVD was analyzed via magnetic resonance imaging (MRI). …”
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Comparison of the Main Staging Systems for Assessing the Severity of Lung Injury in Patients with COVID-19 and Evaluation of Their Predictive Value by Y. S. Kudryavtsev, M. M. Beregov, A. B. Berdalin, V. G. Lelyuk

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Evaluation of MRI anatomy in machine learning predictive models to assess hydrogel spacer benefit for prostate cancer patients by Madison Bush, Scott Jones, Catriona Hargrave

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Predictive modeling to evaluate long-term treatment effectiveness of darvadstrocel in patients with complex perianal fistulas in Crohn’s disease by Chitra Karki, Gary Hantsbarger, Erika Turkstra, Elisabetta Fenu, Ken Genenz, Inmaculada Gilaberte, Julián Panés

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Evaluating the Role of CBCT in the Prediction and Management of Sinus Perforation During Root Canal Treatment of Maxillary Posterior Teeth by Ushma H. Prajapati, Rashme Rashme, Chigurupati Swetha, Arishah Gulzar, Shabna Fathima, Jincy Thomas, Mariea Francis

“…Sinus perforation is a common complication during root canal treatment of maxillary posterior teeth due to their proximity to the maxillary sinus. This study evaluates the role of CBCT in predicting and managing sinus perforation during root canal treatments. …”
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Volumetric tumor segmentation according to diffusion-weighted MRI data in predicting and evaluating the response to chemotherapy in bladder cancer by E. G. Grigoriev, I. G. Frolova, E. A. Usynin, A. V. Usova, S. A. Tabakaev

“…The method of volumetric segmentation makes it possible to predict and evaluate bladder cancer response to chemotherapy with a sufficiently high accuracy. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

“…The cryptocurrency market is highly volatile, requiring advanced analytical methods for accurate price forecasting. This study evaluates the effectiveness of Gated Recurrent Units (GRU) and Double Moving Average (DMA) in predicting USDT (Tether Coin) prices using historical data from 2017 to 2024, sourced from Investing.com. …”
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Performance Analysis of Japanese Electric Vehicle Manufacturers in Environmental, Social, and Governance Using Text Mining and Predictive Methods by Meihui Zhao

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Predictive Performance Evaluation of an Eco-Friendly Pavement Using Baosteel’s Slag Short Flow (BSSF) Steel Slag by Livia Costa, Iuri Bessa, Juceline Bastos, Aline Vale, Teresa Farias

“…Predicting pavement performance is essential for highway planning and construction, considering traffic, climate, material quality, and maintenance. …”
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