Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

Subjects: “…Tool wear prediction…”
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Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine by Xiaochen Zhang, Dongxiang Jiang

“…To predict the remaining life of ball screw, a screw remaining life prediction method based on quantum genetic algorithm (QGA) and support vector machine (SVM) is proposed. …”
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Economic Development Trend Prediction Model Based on Unsupervised Learning in the Internet of Things Environment by Min Kuang

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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…NiOA is utilized to tune those parameters; as a result, the prediction accuracy is quite spectacular. Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R2 (0.9736), lowest error rates and fitness values than other existing models and optimization methods. …”
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The differentiation state of small intestinal organoid models influences prediction of drug-induced toxicity by Jessica A. Klein, Julia D. Heidmann, Tomomi Kiyota, Aaron Fullerton, Kimberly A. Homan, Julia Y. Co

“…Traditional in vitro models using transformed cell lines do not capture this cellular complexity, and often fail to predict intestinal toxicity. Primary tissue-derived intestinal organoids, on the other hand, are a scalable Complex in vitro Model (CIVM) that recapitulates major intestinal cell lineages and function. …”
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Crack path predictions and experiments in plane structures considering anisotropic properties and material interfaces by P.O. Judt, A. Ricoeur

“…Numerical crack paths are predicted based on FE calculations of the boundary value problem in connection with an intelligent adaptive re-meshing algorithm. …”
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Women’s preferences for testing to predict breast cancer risk – a discrete choice experiment by Yi Wang, Peh Joo Ho, Langming Mou, Jingmei Li

“…Conclusions Financial incentives play a notable role in increasing the uptake of risk-prediction tests. However, the programme’s success depends on understanding and addressing the diverse preferences of women. …”
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Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events by Fengcai Qiao, Xin Zhang, Jinsheng Deng

“…An effective method is to continuously assess the risk of upcoming social unrest events and predict the likelihood of these events. Our previous work built a hidden Markov model- (HMM-) based framework to predict indicators associated with country instability, leaving two shortcomings which can be optimized: omitting event participants’ interaction and implicitly learning the state residence time. …”
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Age predicts peak gamma frequency and N1 amplitude of visual evoked potential by Abdullah Bin Dawood

“…Abstract The current study investigated whether the age of healthy adults could predict the peak gamma frequency and the peak amplitudes of VEP components (N1, P2). 49 healthy participants (aged between 19 and 52 years) underwent EEG recordings during a visual task eliciting clear gamma frequency oscillations and VEP activities. …”
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Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network by Fei Zhang, Yuntao Zhao, Jian Shao

“…Accurate prediction of the rolling force is critical to assuring the quality of the final product in steel manufacturing. …”
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A Hybrid Grey Prediction Model for Small Oscillation Sequence Based on Information Decomposition by Meng Zhou, Bo Zeng, Wenhao Zhou

“…Grey prediction model has good performance in solving small data problem, and has been widely used in various research fields. …”
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Mathematical models of contact patterns between age groups for predicting the spread of infectious diseases by Sara Y. Del Valle, J. M. Hyman, Nakul Chitnis

“…We apply the analysis to the spread of a smallpox-like disease, derive the formula for the reproduction number, $\Re_{0}$, and based on this threshold parameter, show the level of human behavioral change required to control the epidemic.We analyze how different mixing patterns can affect the disease prevalence, the cumulative number of new infections, and the final epidemic size.Our analysis indicates that the combination of residual immunity and behavioral changes during a smallpox-like disease outbreak can play a key role in halting infectious disease spread; and that realistic mixing patterns must be included in the epidemic model for the predictions to accurately reflect reality.…”
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TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process by Jianguo Dong, Xiaona Liu, Ruixian Su, Huimin Xu, Tianyu Yu

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FRICTION PRESSURE PREDICTION OF SUPERCRITICAL CO2 TURBULENT FLOW IN A CONCENTRIC ANNULUS by Md. Uddin, Md. Nahid Hossan, Mim Mashrur Ahmed, Raihan Karal

“…A satisfactory agreement is obtained between the results predicted by CFD (fluent) when compared with the results predicted by the Darcy Weisbach equation and the Moody diagram and then with the experimental. …”
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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

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The Value of a Panel of Autoantibodies for Predicting the Activity of Lupus Nephritis at Time of Renal Biopsy by Gabriella Moroni, Silvana Quaglini, Antonella Radice, Barbara Trezzi, Francesca Raffiotta, Piergiorgio Messa, Renato Alberto Sinico

“…After treatment, the titre of the autoantibodies was significantly reduced, but none was predictive of remission.…”
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Prediction of Wear Rate by a New Direct Method Using the Friction Coefficient Curve by Ester Villanueva, Joseba Albizuri, Patricia Caballero, Teresa Guraya, Iban Vicario

“…Using the new method can help reduce time and predict wear more accurately of different alloys.…”
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Prediction Model for Spontaneous Combustion of Coal around Boreholes Using Bedding Gas Drainage by Youxin Zhao, Qingjie Qi, Xinlei Jia

“…To accurately and reliably predict the time of spontaneous combustion of fractured coal around a borehole induced by gas drainage along the seam, this study performed an orthogonal test taking the No. 10 Coal Mine of Pingdingshan as the research object, in terms of the suction negative pressure and coal seam buried depth. …”
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A novel prediction model of grounding resistance based on long short-term memory by Xinghai Pu, Jing Zhang, Fei Wang, Shuai Xue

“…This study aims to investigate the use of Long Short-Term Memory (LSTM) models for predicting temporal variations in grounding resistance using time series data. …”
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Machine Learning-Based Models for Prediction of Critical Illness at Community, Paramedic, and Hospital Stages by Sijin Lee, Hyun Ji Park, Jumi Hwang, Sung Woo Lee, Kap Su Han, Won Young Kim, Jinwoo Jeong, Hyunggoo Kang, Armi Kim, Chulung Lee, Su Jin Kim

“…This study aims to develop ML-based models for predicting critical illness in the community, paramedic, and hospital stages using Korean National Emergency Department Information System (NEDIS) data. …”
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