A system of analysis and prediction of the loss of forging tool material applying artificial neural networks by Hawryluk M., Mrzyglod B.

“…In particular, the study focuses on the prediction of the geometrical loss of the tool material after different surface treatment variants.The methodology of developing neural network models and their quality parameters is also presented. …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

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Discrete Dynamic Modeling Analysis of Rural Revitalization and Ecotourism Sustainable Prediction Based on Big Data by Yao Tang

“…Therefore, traditional methods cannot accurately predict the future tourism market. In view of this situation, this paper uses the mathematical algorithm of BP neural network to simulate the structure of brain neural network to deal with this kind of nonlinear relationship problem. …”
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Strength prediction of axial fiber-reinforced 3D5D circular braiding composites by Bo Chen, Yueyi Zhang, Shengyu Zhang, Xinglin Yang, Shuheng Chen

“…The tensile strength predicted by the strength prediction model is 420 MPa, with a deviation of 5.12% compared to the experimental value. …”
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Role of Competence Perception in Predicting Emotional Self-Awareness and Bullying and Victim Behavior in Elementary Students. by Reyhane Rakhshani nejad, Zahra Nikmanesh

“…The purpose of this study is the investigation of the role of competence perception in predicting emotional self-awareness and bullying and victim behavior in elementary students. …”
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Predictive Model of Granular Fertilizer Spreading Deposition Distribution Based on GA-GRNN Neural Network by Lilian Liu, Guobin Wang, Yubin Lan, Xinyu Xue, Suming Ding, Huizheng Wang, Cancan Song

“…The results show that the prediction accuracy and training effect of the GA-GRNN model are better than those of the GRNN, with a coefficient of determination of 0.839, and that the results of the GA-GRNN model are closer to the actual data when predicting the effective amplitude of the deposition amount, which is more accurate. …”
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Diagnostic Accuracy of Shear Wave Elastography in Predicting Malignant Origins of Pleural Effusions in Emergency Departments by Rune Wiig Nielsen, Casper Falster, Stefan Posth, Niels Jacobsen, August Emil Licht, Rahul Bhatnagar, Christian Borbjerg Laursen

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External validation of a multivariable prediction model for positive resection margins in breast-conserving surgery by Irina Palimaru Manhoobi, Julia Ellbrant, Pär-Ola Bendahl, Søren Redsted, Anne Bodilsen, Trine Tramm, Peer Christiansen, Lisa Rydén

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Predicting fatigue crack growth behavior of coalesced cracks using the global-local superimposed technique by Mohd Shamil Shaari, Sylvia Dennis Urai, Akiyuki Takahashi, Mohd Akramin Mohd Romlay

“…Therefore, it can be stated that the S-version FEM approach can predict the growth of fatigue cracks…”
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An Efficient and Robust Method to Predict Multifractured Horizontal Well Production in Shale Oil and Gas Reservoirs by Ling Chen, Yuhu Bai, Bingxiang Xu, Yanzun Li, Zhiqiang Dong, Suran Wang

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LncRNA MANCR is downregulated in non-small cell lung cancer and predicts poor survival by Yunming Tao, Jie Liu, Wenxiao Qiu, Yuanyuan Li

“…All NSCLC patients were monitored for 5 years to investigate the role of MANCR in the prediction of patients’ survival. Results MANCR expression was downregulated in both NSCLC plasma and tissue of NSCLC patients compared to controls (P < 0.05). …”
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Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation by Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer Tareq Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman

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Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models by Dmytro Chumachenko, Tetiana Dudkina, Sergiy Yakovlev, Tetyana Chumachenko

“…The research constructs three statistical machine learning models to predict the spread of COVID-19 in specific regions and evaluates their performance using real COVID-19 incidence data. …”
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Application of Gene Expression Programming and Support Vector Regression models to Modeling and Prediction Monthly precipitation by Abazar Solgi, Heidar Zarei

“…Finally, the monthly precipitation was predicted the GEP which showed a decrease in precipitation in compared with previous months.…”
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Large-Scale Mapping and Predictive Modeling of Submerged Aquatic Vegetation in a Shallow Eutrophic Lake by Karl E. Havens, Matthew C. Harwell, Mark A. Brady, Bruce Sharfstein, Therese L. East, Andrew J. Rodusky, Daniel Anson, Ryan P. Maki

“…A simple model of Chara occurrence, based only on water depth, had an accuracy of 55%. It predicted occurrence of Chara over large areas where the plant actually was not found. …”
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Medicinal Effect, In Silico Bioactivity Prediction, and Pharmaceutical Formulation of Ageratum conyzoides L.: A Review by Jasvidianto C. Kotta, Agatha B. S. Lestari, Damiana S. Candrasari, Maywan Hariono

“…This article reviews the potency of the herb in medication according to the chemical substances being deposited, which are collected from numerous studies, followed by its in silico bioactivity prediction as well as its pharmaceutical dosage form formulation.…”
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Prediction of Epileptic Seizure by Analysing Time Series EEG Signal Using k-NN Classifier by Md. Kamrul Hasan, Md. Asif Ahamed, Mohiuddin Ahmad, M. A. Rashid

“…The k-nearest neighbours (k-NN) algorithm is used for the classification of epilepsy then regression analysis is used for the prediction of the epilepsy level at different ages of the patients. …”
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Prenatal Stress due to a Natural Disaster Predicts Adiposity in Childhood: The Iowa Flood Study by Kelsey N. Dancause, David P. Laplante, Kimberly J. Hart, Michael W. O’Hara, Guillaume Elgbeili, Alain Brunet, Suzanne King

“…Controlling for these, flood exposure during early gestation predicted greater BMI increase from age 2.5 to 4, as well as total adiposity at 2.5. …”
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In silico sequence and structure prediction analysis of biomarker genes in Aeromonas sp. of Andaman and Nicobar Islands by Balakrishnan Meena, Lawrance Anburajan, Dilip Kumar Jha, Gopal Dharani

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Systemic Inflammatory Cytokines Predict the Infectious Complications but Not Prolonged Postoperative Ileus after Colorectal Surgery by G. S. A. Boersema, Z. Wu, A. G. Menon, G. J. Kleinrensink, J. Jeekel, J. F. Lange

“…Blood levels of inflammatory cytokines cannot predict PPOI after colorectal surgery. Instead, postoperative IL-6 changes may predict the infectious complications with a better diagnostic value than the current leukocytes or CRP tests.…”
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