AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…To avoid the adverse effects of severe air pollution on human health, we need accurate real-time air quality prediction. In this paper, for the purpose of improve prediction accuracy of air pollutant concentration, a deep neural network model with multitask learning (MTL-DBN-DNN), pretrained by a deep belief network (DBN), is proposed for forecasting of nonlinear systems and tested on the forecast of air quality time series. …”
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Breast Cancer Prediction: A Fusion of Genetic Algorithm, Chemical Reaction Optimization, and Machine Learning Techniques by Md. Rafiqul Islam, Md. Shahidul Islam, Saikat Majumder

“…In recent years, numerous studies have been published to predict breast cancer where researchers use a variety of methods. …”
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Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks by Ahmed M. Ebid, Light I. Nwobia, Kennedy C. Onyelowe, Frank I. Aneke

“…The database needed for the prediction operation was generated from several experiments corresponding with treatment dosages of HANRHA between 0 and 12% at a rate of 0.1%. …”
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Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta‐Analysis by Qi Deng, Yu Yang, Hongyu Bai, Fei Li, Wenluo Zhang, Rong He, Yuming Li

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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…Support vector machine and logistic regression algorithms are used to process the datasets, and the latter displays the highest accuracy in predicting coronary disease. Python programming is used to process the datasets. …”
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A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China by Jiayi Yang, Zihao Chen, Xinxin Dai, Liyao Jiang, Liyan Dai, Yu Zhao

“…Through the utilization of logistic regression analysis, multiple risk factors were identified. Additionally, the predictive value of these risk factors was assessed by applying receiver operating characteristic (ROC) curve analysis. …”
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A Novel Carbon Price Fluctuation Trend Prediction Method Based on Complex Network and Classification Algorithm by Hua Xu, Minggang Wang

“…The extracted network topology structure information is used to reconstruct the data, which are used to train the model parameters, thus improving the prediction accuracy of the model. Five prediction models are selected as the benchmark model, and the price data of the EU and seven pilot carbon markets in China from June 19, 2014, to October 9, 2020, are chosen as the sample for empirical analysis. …”
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Machine learning assisted radiomics in predicting postoperative occurrence of deep venous thrombosis in patients with gastric cancer by Yuan Zeng, Yuhao Chen, Dandan Zhu, Jun Xu, Xiangting Zhang, Huiya Ying, Xian Song, Ruoru Zhou, Yixiao Wang, Fujun Yu

“…Therefore, it is particularly important to find a suitable way to predict the risk of postoperative occurrence of DVT in GC patients. …”
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Do serial troponins predict the need for cardiac evaluation in trauma patients after ground-level fall? by Rachael A Callcut, Alyssa R Bellini, James T Ross, Madelyn Larson, Skyler Pearson, Anamaria J Robles

“…Here, we examine the role of serial troponins in predicting the need for further cardiac workup in trauma patients after sustaining a fall.Methods Retrospective review of all adult trauma activations for ground-level fall from January 1, 2021 to December 31, 2021 in patients who were hemodynamically and neurologically normal at presentation. …”
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On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning by Nansha Gao, Mou Wang, Xiao Liang, Guang Pan

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Unbalance Response Prediction for Rotors on Ball Bearings Using Speed- and Load-Dependent Nonlinear Bearing Stiffness by Fleming David P., Poplawski J. V.

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Prediction of the RFID Identification Rate Based on the Neighborhood Rough Set and Random Forest for Robot Application Scenarios by Hong-Gang Wang, Shan-Shan Wang, Ruo-Yu Pan, Sheng-Li Pang, Xiao-Song Liu, Zhi-Yong Luo, Sheng-Pei Zhou

“…Compared with BP neural network (BPNN) and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. …”
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Can a single coastal tide gauge help predict internal solitary wave activity offshore by Jean-Baptiste Roustan, Lucie Bordois, Jesús García-Lafuente, Franck Dumas, Francis Auclair, Xavier Carton

“…These data will enhance our understanding of ISW dynamics, their parameterization and prediction.…”
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A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images by Abhishek Singh, Thaseem Thajudeen

“…Results show that the hybrid algorithm can closely predict the 3-dimensional structures from the projection images with less than 10% difference in the predicted 3-dimensional properties including mobility diameter and radius of gyration.…”
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Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit by Ziwei Dai, Aikui Li, Wei Sun, Shenwu Zhang, Hao Zhou, Ren Rao, Quan Luo

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Predicting plaque regression based on plaque characteristics identified by optical coherence tomography: A retrospective study by Cheng-Hui Fan, Lyu-fan Chen, Jing Cheng, Yi-Qiong Wang, Ling-Hao Xu, Ji-Ming Li

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Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis by Hamid Mohammadnezhad, Seyedmohammad Eslami

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Pawpaws prevent predictability: A locally dominant tree alters understory beta‐diversity and community assembly by Anna C. Wassel, Jonathan A. Myers

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Prediction of spirometry parameters using chest circumference in Sri Lankan boys aged 8-16 years by Guwani Liyanage, Bernard Deepal Wanniarachchi Jayamanne

“…Discussion and Conclusions: Chest circumference could be considered as competent as height in predicting lung flows and volumes in Sri Lankan males aged 8 to 16, and it could be used as an alternative parameter in situations where height cannot be measured precisely.…”
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