Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…The maximum deviation between predicted and actual values is only 0.86%, demonstrating outstanding prediction accuracy. …”
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Sulfatase modifying factor 2 as a predictive biomarker for urothelial carcinoma by Wei-Ting Kuo, Yi-Chen Lee, Jia-Bin Liao, Ching-Jiunn Tseng, Yi-Fang Yang

“…The SUMF2 high/FBXW7 low expression profile predicted the worst survival in BLCA. Taken together, SUMF2 expression is linked to unfavorable clinical outcomes in patients with UC and may serve as a useful prognostic biomarker for UC staging.…”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…One of those areas is the prediction and prevention of consumer churn. There are two basic types of consumer churn, complete churn and partial churn. …”
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Investor Attention: Can Google Search Volumes Predict Stock Returns? by Claudia Yoshinaga, Fabio Rocco

“…This paper investigates the role of investor attention in predicting future stock market returns for Brazilian stocks using Google Search Volume (GSV). …”
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NLO QCD predictions for t t ¯ γ $$ t\overline{t}\gamma $$ with realistic photon isolation by Daniel Stremmer, Malgorzata Worek

“…We quantify the impact of different photon-isolation prescriptions on the integrated and differential cross-section predictions for the LHC at a centre-of-mass energy of s $$ \sqrt{s} $$ = 13.6 TeV. …”
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Predictability of water resources with global climate models. Case of Northern Tunisia by Besbes, Mustapha, Chahed, Jamel

“…The objective of the research is to explore the predictability of water resources directly with GCMs by analysing long-term effects of climate change on Northern Tunisia’s blue and green water. …”
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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

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Predictive performance of emergency department-specific variables on COVID-19 pneumonia by Hann-Yee Tan, Mathew Yeo, Xin-Ying Tay, Michael Fung, Ranjeev Kumar, Say-Tat Ooi, Lina Amirah, Chalani Udhyami Ubeynarayana, Desmond Mao

“…We report emergency department (ED)-specific variables and evaluate their predictive performance on diagnosis of pneumonia, intensive care unit (ICU) admission and death. …”
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Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

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Prediction of individual patient outcomes to psychotherapy vs medication for major depression by Devon LoParo, Boadie W. Dunlop, Charles B. Nemeroff, Helen S. Mayberg, W. Edward Craighead

“…We used machine learning to develop predictor variables that combined demographic and clinical items from a randomized clinical trial. The variables predicted a meaningful proportion of variance in end-of-treatment depression severity for cognitive behavioral therapy (39.7%), escitalopram (32.1%), and duloxetine (67.7%), leading to a high accuracy in predicting remission (71%). …”
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AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation by Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun

“…Novel findings include nonlinear relationships between dyslipidemia, stroke severity, and functional recovery. The developed predictive algorithm (AUC 0.719 internally, 0.684 externally) offers a more sophisticated risk stratification tool, potentially guiding personalized treatment strategies in high-complexity VBAO patients with atrial fibrillation.…”
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Research and Application of Heart Disease Prediction Model Based on Machine Learning by Bao Yongli

“…As heart disease has become the leading cause of death worldwide, early and accurate prediction is crucial to help doctors make initial judgments about patients and improve their survival rates. …”
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Development of a Hybridized Model for Predicting the Life Span of Power Transformers by O.O. Olaluwoye, A.A. Okubanjo, O.K. Oyetola, P.O. Alao, O.G. Olasunkanmi

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Are the Mean Platelet Volume and Neutrophil/Lymphocyte Ratio Predictive for Gestational Cholestasis? by Hasan Eroglu, Harun Egemen Tolunay, Kemal Sarsmaz, Gokcen Orgul, Dilek Sahin, Aykan Yucel

“…CONCLUSION: When compared with healthy pregnancies, mean platelet volume value in gestational cholestasis increases significantly. However, the predictive strength of mean platelet volume for cholestasis is not strong enough to recommend its usage as a single parameter in clinical practice. …”
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Predictive Value of Eosinophilia and Basophilia in the Diagnosis of Bronchopulmonary Dysplasia in Premature Infants by Melek Buyukeren, Hasan Tolga Celik, Sule Yigit, Murat Yurdakok

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A generalized diffusion model for remaining useful life prediction with uncertainty by Bincheng Wen, Xin Zhao, Xilang Tang, Mingqing Xiao, Haizhen Zhu, Jianfeng Li

“…Abstract Forecasting the remaining useful life (RUL) is a crucial aspect of prognostics and health management (PHM), which has garnered significant attention in academic and industrial domains in recent decades. The accurate prediction of RUL relies on the creation of an appropriate degradation model for the system. …”
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Predicting bitcoin cryptocurrency price behavior based on ARIMA and NNAR modelling by Patricia Virginia de Santana Lima, David Venâncio da Cruz, Albaro Ramon Paiva Sanz

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IoT in Urban Traffic Prediction Development Case Studies and Future Trends by Wang Renhe

“…First, edge computing is introduced into the IOT, and edge computing is mixed with cloud computing to obtain a prediction system with better performance and lower robustness. …”
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Individualized prediction of stroke-associated pneumonia for patients with acute ischemic stroke by Lulu Zhang, Qi Wang, Qi Wang, Yidan Li, Qi Fang, Xiang Tang

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Analytical Equations for Predicting Effective Thermal Conductivity in Laminated Wood Composites by Harsh Pal, Sardar Malek

“…This paper presents an analytical modeling approach to predict the effective in-plane and out-of-plane thermal conductivities of laminated wood composite products such as Cross-Laminated Timber (CLT). …”
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