Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

“…Control over strain softening/hardening behavior was achieved through only process parameter adjustment. Finally, by combining multi‐objective genetic algorithm and RF models, the optimization alloy composition and extrusion parameters was carried out, targeting high‐strength, strength/plasticity synergy, and high plasticity for biodegradable purpose. …”
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Development of Quantitative Structure–Anti-Inflammatory Relationships of Alkaloids by Cristian Rojas, Doménica Muñoz, Ivanna Cordero, Belén Tenesaca, Davide Ballabio

“…The performance of the models was quantified by means of the non-error rate (<i>NER</i>) statistical parameter.…”
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Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Moein Kafi, Hamed Nikravesh, Maryam Aghel, Erfan Mohammadian, Yousef Kazemzadeh, Reza Azin

“…However, previous studies have not comprehensively investigated the development of machine learning models to estimate this parameter. …”
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Estimation the pH of CO2-saturated NaCl solutions using gene expression programming: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Parirokh Ebrahimi, Moein Kafi, Hamed Nikravesh, Yousef Kazemzadeh

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Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population by Yu-Xin Guo, Jun-Long Lan, Wen-Qing Bu, Yu Tang, Di Wu, Hui Yang, Jia-Chen Ren, Yu-Xuan Song, Hong-Ying Yue, Yu-Cheng Guo, Hao-Tian Meng

“…This study developed an automatic segmentation model for maxillary sinus identification and parameter measurement, combined with regression and machine learning models for age estimation. …”
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Predictive ability of visit-to-visit glucose variability on diabetes complications by Xin Rou Teh, Panu Looareesuwan, Oraluck Pattanaprateep, Anuchate Pattanateepapon, John Attia, Ammarin Thakkinstian

“…Thus, FPG GV may be used as a potential monitoring parameter when HbA1c is unavailable or less accessible.…”
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A novel canopy water indicator for UAV imaging to monitor winter wheat water status by Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu

“…The integration of UAV-based hyperspectral imagery with machine learning techniques enables high-throughput and precise quantification of wheat canopy water status parameters. …”
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Resource-saving directions in basic machinery by E. I. Lipkovich

“…Due to the special technique it is possible to determinate technical and economic efficiency of the new design machines. If parameters of new machine by 1.2-1.3 times exceed the characteristic existing (basic) one, then we talk about usual modernization; excess by 1.5-1.8 times indicates deep modernization. …”
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Synthesize Evaluation Method of Characteristic Defects in Hole Drilling of Carbon Fiber Reinforced Polymer by Siyu Liang, Guangjun Liu, Zhongguo Guan

“…Therefore, traditional machining procedures are also required. The drilling process is one of the most common machining methods for CFRP holes, but owing to the complex structure and difficulty in processing CFRP, the quality of the drilling process is often challenging to guarantee. …”
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Polishing inner wall of crossed deep micropores using magnetic microabrasive jet technology by Zezhi WANG, Jie WANG, Xiaogang MA, Fan LI, Xinya FAN, Yan CHEN

“…By constructing a physical model of the machining process and using the simulation form of coupling the finite element method and the discrete element method, it is possible to more clearly simulate the motion of the abrasive and flow field in the abrasive water jet during the machining process, as well as the force situation of the workpiece being machined. …”
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3D FEM Simulation and Experiment Research for Milling Process of Hardened Curved Mold by YUE Cai-xu, HAO Sheng-yu, HUANG Cui, WANG Yan-wu

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Improvement of wheat dough structuring process by S. D. Rudnev, V. V. Ivanov, R. V. Kryuk

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AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

“…Therefore, it is necessary to develop an AI-based method for calculating fracture parameters to provide real-time display, particularly in fracture reduction machines.MethodsAn AI-based method for automatically calculating of radiographic parameters in distal radius fractures (DRF) was developed. …”
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RELIABILITY ANALYSIS OF REACTION FORCE DEVELOPED IN THE LUBRICATED REVOLUTE JOINT FOR A SLIDER-CRANK SYSTEM INCLUDING JOINT WITH CLEARANCE AND LUBRICATION by ZHAO Kuan, XUE He, CHEN JianJun, QIAO XinZhou

“…The system dynamic model was set up based on Newton-Euler method,The prediction accurary of Support Vector Machine Regression is difficult to reach the target accurary because the selection of parameters isn’t accurate. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…Second, on the basis of the IPHTSG database, prediction models for the IPHTSG are developed by employing various machine learning algorithms. The dimensionality of the input data is reduced via correlation analysis of the feature parameters, and the parameters of each prediction model are optimized using a grid search and 10-fold cross-validation. …”
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Modelling of cutting force relationship as a function of cutting conditions and tool wear by Pavel Kovač, Borislav Savković, Branislav Dudić

“…Individual relationships of machining parameters as a function of cutting force changes are presented in graphical form, as well as a tabular presentation of the relationship between tool wear and cutting force components. …”
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Effect of longitudinal and cross feed on flatness and surface roughness in flat grinding by Hristijan Zisov, Dimitar Milkov, Atanas Cangulski, Ema Vasileska, Ognen Tuteski, Boban Kusigerski, Jasmina Caloska

“…This research focuses on analyzing the impact of longitudinal and cross feed on the grinding quality, with particular emphasis on the parameters of surface roughness and flatness of the machined surfaces. …”
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Medication versus globus pallidus internus deep brain stimulation in Parkinson’s disease with deep learning video analysis of finger tapping by Grace Yoojin Lee, Hee Yeon Kwon, Kanggil Park, Sungyang Jo, Jihyun Lee, Sangjin Lee, June-Goo Lee, Namkug Kim, Sun Ju Chung

“…Using a deep learning model, we reconstructed the 2D hand motions into 3D meshes to extract 21 motion parameters that characterize hand bradykinesia. We employed these parameters to predict the FT score using machine learning models. …”
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A Novel Method for Identifying Tool–Holder Interface Dynamics Based on Receptance Coupling by Dingtang Zhao, Xiaohu Li, Shaoke Wan, Qiangqiang Zhao, Jun Hong

“…The structural dynamics of a machine tool play a significant role in chatter occurrence, which significantly deteriorates the metal-cutting performance. …”
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Optimal Design of Welded Structure Using SVM by Sebghatullah Jueyendah, Carlos Humberto Martins

“…Engineers and researchers can develop more efficient, load-resistant, reliable, and cost-effective structures using optimization techniques, Sensitivity Analysis (SA), and support vector machine (SVM) applications. This study evaluated the SA of welding design parameters and the optimal cost design using Geometric Programming (GP) and Lingo Program (LP). …”
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