Unified Calibration-Based Failure Prediction Quantization for Automatic Target Recognition by Sihang Dang, Yunlong Zhang, Zhaoqiang Xia, Xiaoyue Jiang, Shuliang Gui, Xiaoyi Feng

“…For inference, it employs a quantification method based on similarity and dissimilarity to evaluate unknown samples. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C by Shalem Preetham Gandu, M. Roshni Thanka, E. Bijolin Edwin, Ebenezer Veemaraj, S. Stewart Kirubakaran

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Evaluating Online Cannabis Health Information for Thai Breast Cancer Survivors Using the Quality Evaluation Scoring Tool (QUEST): Mixed Method Study by Thanarpan Peerawong, Tharin Phenwan, Meiko Makita, Sojirat Supanichwatana, Panupong Puttarak, Naowanit Siammai, Prakaidao Sunthorn

“…MethodsA mixed methods study was conducted between January 2021 and May 2022, involving a breast cancer survivor support group. …”
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Plasma thrombomodulin is a valuable biomarker to predict the severity of hemorrhagic fever with renal syndrome caused by the Hantaan virus by Han-Dong Zhao, Han-Dong Zhao, Yan Zhang, Xiao-Hong Wang, Hong-Bo Qian, Tong-Bo Yu, Peng Li, Kang-Xiao Ma, Hong-Li Liu

“…ObjectivesThis study aimed to investigate the Thrombomodulin (TM) levels in patients who suffered hemorrhagic fever with renal syndrome (HFRS) of varying severities, and to evaluate the predictive properties of TM for the seriousness of HFRS, thereby providing a clue for the monitoring and management of this patients in the future.MethodsChemiluminescence was used to determine the concentrations of TM in 196 patients with HFRS and 49 healthy controls. …”
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Automated Global Method to Detect Rapid and Future Urban Areas by Heather S. Sussman, Sarah J. Becker

“…Furthermore, prediction methods are typically developed in a single location and are not evaluated across diverse geographies. …”
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An Operational Carbon Emission Prediction Model Based on Machine Learning Methods for Urban Residential Buildings in Guangzhou by Lintao Zheng, Kang Luo, Lihua Zhao

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Deciphering Customer Satisfaction: A Machine Learning-Oriented Method Using Agglomerative Clustering for Predictive Modeling and Feature Selection by Rezki Nisrine, Mansouri Mohamed, Oucheikh Rachid

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Metabolic syndrome combined with insulin resistance showed great predictive value in evaluating recurrence in patients with atypical endometrial hyperplasia and early endometrial c... by Yuman Wu, Jingyuan Wang, Yuan Fan, Jianliu Wang, Xingchen Li

“…Conclusion MRS is a new evaluating predictor that could significantly improve the predictive accuracy for recurrence in fertility preservation treatment for AEH and early EC patients, especially when combined with IR.…”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

“…Data-driven methods, such as artificial intelligence or curve-fitting techniques, offer precise predictions of complex nonlinear relationships. …”
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Evaluation of ultrasound accuracy in thyroid mass measurement and its impact on 131I treatment for Graves’ disease by Xiangxiang Li, Xu Han, Nan Liu, Shen Wang, Hongyuan Zheng, Ziyu Ma, Ruiguo Zhang, Qiang Jia, Wei Zheng

“…Based on these factors, a predictive model was developed and evaluated using ROC curves, DCA and CAL. …”
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Analytical Method for Evaluating the Ground Surface Settlement Caused by Tail Void Grouting Pressure in Shield Tunnel Construction by Changsheng Wu, Zhiduo Zhu

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Comparative evaluation of six phenotypic methods for detecting extended-spectrum beta-lactamase-producing Enterobacteriaceae by Rajkumar Manojkumar Singh, Huidrom Lokhendro Singh

“…Introduction: Various conventional phenotypic methods and automated systems have been evaluated for extended-spectrum beta-lactamase (ESBL) detection. …”
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Development and evaluation of machine learning models for individualized prediction of myopia control efficacy treated with overnight orthokeratology by Lan Zhang, Mingjun Gao, Yiru Wang, Siqi Zhang, Huailin Zhu, Qi Zhao

“…The prediction performance was evaluated according to the accuracy and AUC of the training set and the test set. …”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

“…This study aims to enhance price prediction accuracy using Artificial Neural Networks (ANN) by comparing three optimization methods: Stochastic Gradient Descent (SGD), Adam, and RMSprop. …”
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Evaluation of fractured carbonate reservoir and prediction of favorable areas in the eastern area of Amu Darya Right Bank by Yang Li, Xiaodong Cheng, Leyuan Fan, Liguo Sun, Jiapeng Wu, Jiao Wei

“…Given the strong correlation between fracture development and productivity, analyzing fractures is crucial. Comprehensive evaluation and prediction methods for fractured reservoirs are essential for advancing the oil and gas industry. …”
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Evaluation of drug release from topical dosage forms and permeability prediction through the skin barrier (review) by N. B. Melnikova, I. A. Sheferov, A. A. Emasheva, A. A. Sheferova, D. A. Panteleev, A. I. Slivkin

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A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance by Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu

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Comprehensive evaluation of the MeltPro MTB/PZA assay for prediction of pyrazinamide resistance in multidrug-resistant tuberculosis by Guiqing He, Chunxia Tu, Yelei Zhu, Qingyong Zheng, Qiulong Zhou, Wenzhen Zhou, Ouyang Huang, Bin Chen, Zhengwei Liu, Ye Xu, Xiangao Jiang

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Uncertainty and Prediction Intervals of New Machine Learning Approach for Non-Destructive Evaluation of Concrete Compressive Strength by Seyed Alireza Alavi, Martin Noel

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Development of a deep learning-based model for predicting of dominant seepage channels in oil reservoirs by Chen Liu, Zenghua Zhang, Wensheng Zhou, Chengyu Luo, Lei Jiang

“…It employs an evaluation method for the development of dominant seepage channels and a label matrix for seepage channels. …”
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