Measurement-Based Modal Analysis and Stability Prediction on Turn-Milling of Hollow Turbine Blade by Zhengcai Zhao, Junming Hou, Yucan Fu

“…The experimental results confirm the feasibility of the predicted stability lobe diagram.…”
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Use of Nomogram to Predict the Risk of Lymph Node Metastasis among Patients with Cervical Adenocarcinoma by Yongju Tian, Yiping Hao, Qingqing Liu, Ruowen Li, Zhonghao Mao, Nan Jiang, Bingyu Wang, Wenjing Zhang, Xiaofang Zhang, Baoxia Cui

“…The objective of this study was to develop a nomogram that can predict lymph node metastasis (LNM) in patients with cervical adenocarcinoma (cervical AC). …”
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Enhancing urban air quality prediction using time-based-spatial forecasting framework by Shrikar Jayaraman, Nathezhtha T, Abirami S, Sakthivel G

“…The outcomes demonstrate the TBS model’s ability to accurately predict AQI values. The integration of CNNs and time series model allowed for an clearer and deeper understanding of geographical and pollutant concentration factors that contribute to air quality variations.…”
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Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features by Shuliang Zhang, Hao Wu, Jin Wang, Longsheng Du

“…Through experimental validation on three public datasets, our proposed model achieves industry-leading predictive performance with a mean squared absolute error of 2.27, which is approximately a 1/3 improvement over the current state-of-the-art methods.…”
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Analysis of the predictive value of the prostate-specific antigen-to-neutrophil ratio for the diagnosis of prostate cancer by Yuxuan Chen, Haisheng Yan, Yaoqin Xu, Kexin Chen, Runqin Yang, Jiali Yang, Ruian Zhu, Rui Lin, Jiang Wang, Jie Liu, Pingsheng Gao, Lei Pang, Lexin Wang

“…Objective In this study, we explored the predictive value of prostate-specific antigen-to-neutrophil ratio (PNR) for the diagnosis of prostate cancer, with a view to further improving the diagnostic accuracy of prostate cancer. …”
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GERD—Barrett—Adenocarcinoma: Do We Have Suitable Prognostic and Predictive Molecular Markers? by Romana Illig, Eckhard Klieser, Tobias Kiesslich, Daniel Neureiter

“…The GERD-Barrett-Adenocarcinoma sequence currently lacks well-defined diagnostic, progressive, predictive, and prognostic biomarkers (i) providing an appropriate screening method identifying the presence of the disease, (ii) estimating the risk of evolving cancer, that is, the progression from Barrett’s esophagus (BE) to esophageal adenocarcinoma (EAC), (iii) predicting the response to therapy, and (iv) indicating an overall survival—prognosis for EAC patients. …”
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Predictive Modeling for Electric Vehicle Battery State of Health: A Comprehensive Literature Review by Jianqiang Gong, Bin Xu, Fanghua Chen, Gang Zhou

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Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete by K. Thirumalai Raja, N. Jayanthi, Jule Leta Tesfaye, N. Nagaprasad, R. Krishnaraj, V. S. Kaushik

“…Using all of the datasets, the number of hidden layers used for compressive strength prediction for intermediate mix proposal is determined in the first step. …”
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Probabilistic Prediction of Mine Dynamic Disaster Risk Based on Multiple Factor Pattern Recognition by Tianwei Lan, Chaojun Fan, Sheng Li, Hongwei Zhang, Adrian Sergaevich Batujin

“…The risk probability prediction criteria of mine dynamic disasters and the risk probability values of each unit in the prediction area are determined by using the method of neural network and fuzzy mathematics. …”
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Interval combined prediction of mine tunnel's air volume considering multiple influencing factors. by Zhen Wang, Erkan Topal, Liangshan Shao, Chen Yang

“…The tunnel air volume and influencing factors are then input into different neural networks for air volume prediction. To further improve prediction accuracy, the predicted values of wind volume intervals from the single prediction method are transformed into triangular fuzzy numbers, and the generalized induced ordered weighted average operator is introduced for the combination of prediction results. …”
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A Global Thermospheric Density Prediction Framework Based on a Deep Evidential Method by Yiran Wang, Xiaoli Bai

“…This paper introduces a global thermospheric density prediction framework based on a deep evidential method. …”
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Drug-target binding affinity prediction based on power graph and word2vec by Jing Hu, Shuo Hu, Minghao Xia, Kangxing Zheng, Xiaolong Zhang

“…In this paper, a drug target affinity prediction model (WPGraphDTA) based on power graph and word2vec is proposed. …”
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Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model by Guohui Li, Wanni Chang, Hong Yang

“…Climate is a complex and chaotic system, and temperature prediction is a challenging problem. Accurate temperature prediction is also concerned in the fields of energy, environment, industry, and agriculture. …”
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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

“…As the global diabetes population continues to increase, it is crucial to identify its causes. Therefore, we predicted diabetes using an AI model and quantitatively examined causal relationships using a causal discovery and inference model. …”
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Robust survival model for the prediction of Li-ion battery lifetime reliability and risk functions by Rasheed Ibraheem, Timothy I. Cannings, Torben Sell, Gonçalo dos Reis

“…Single-value prediction such as the End of Life and Remaining Useful Life is a common method of estimating the lifetime of Li-ion batteries. …”
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Diagnostic and predictive values of serum metabolic profiles in sudden sensorineural hearing loss patients by Xiangsheng Wang, Yan Gao, Ruirui Jiang

“…The distinctive metabolites were assessed between two groups, and their predictive values for hearing recovery were evaluated. …”
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Predicting the Effectiveness of Resilient Safety in the Building Construction Sector of Rwanda Using the ANN Model by Esperance Umuhoza, Sung-Hoon An

“…Consecutively, an ANN model that could predict the effectiveness of resilient safety was developed. …”
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Prediction models of iron level in beef muscle tissue toward ecological well-being by K. Narozhnykh

“…A high correlation existed between independent variables.FINDINGS: An optimum model for predicting the iron level in the muscle tissue of Hereford cattle was established. …”
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Comparison of NoSAS score with STOP-Bang and Berlin scores in predicting difficult airway by Onurcan Balık, Eyyüp Sabri Özden, Mustafa Soner Özcan, Filiz Alkaya Solmaz, Pakize Kırdemir

“…The cut-off value for the NoSAS score was determined to be 6.5 for predicting difficult mask ventilation and 7.5 for predicting difficult intubation. …”
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Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling by Ahmed Fakhry, Janghoon Lee, Jong Taek Lee

Subjects: “…future segmentation prediction…”
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