A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions by Kuang-Ming Kuo, Chao Sheng Chang

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Alpine Meadow Fractional Vegetation Cover Estimation Using UAV-Aided Sentinel-2 Imagery by Kai Du, Yi Shao, Naixin Yao, Hongyan Yu, Shaozhong Ma, Xufeng Mao, Litao Wang, Jianjun Wang

“…The performance of these estimates was evaluated against reference FVC values derived from centimeter-level UAV data. Subsequently, four machine learning models were employed for an accurate FVC inversion, using the estimated FVC values and UAV-derived reference FVC as inputs, following feature importance ranking and model parameter optimization. …”
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A Survey on Anti-Money Laundering Techniques in Blockchain Systems by Leyuan Liu, Xiangye Li, Tian Lan, Yakun Cheng, Wei Chen, Zhixin Li, Sheng Cao, Weili Han, Xiaosong Zhang, Hongfeng Chai

“…It categorizes existing AML techniques into three primary approaches: rule-based methods, such as transaction parameter threshold setting, address-entity association analysis, and cross-chain association analysis; machine learning-based approaches, including support vector machines, logistic regression, decision trees, random forests, k-means clustering, and combining off-chain information; and deep learning-based methodologies, encompassing convolutional neural networks, recurrent neural networks, graph neural networks, and transformer-based models. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…This framework integrates machine learning models to establish a universal solution for cross-domain LA estimation in data-scarce situations. …”
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Efficient cooling capability in microchannel heat sink reinforced with Y-shaped fins: Based on artificial neural network, genetic algorithm, Pareto front, and numerical simulation by Xiang Ma, Ali Basem, Pradeep Kumar Singh, Rebwar Nasir Dara, Ahmad Almadhor, Amira K. Hajri, Raymond Ghandour, Barno Abdullaeva, H. Elhosiny Ali, Samah G. Babiker

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Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

“…The current study also introduces this automatic classification by developing various machine learning (ML) and Convolutional Neural Network (CNN) models to highlight the features characterizing each pattern. …”
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System Design and Application of On-board Overhead Catenary Monitoring Device by Wen HE, Junping WANG, Min ZHANG, Huihua MAO, Tianxi CHEN

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CALCULATION OF ACTUAL MODIFICATION OF CYCLOIDAL GEAR BASED ON OPTIMAL APPROXIMATION PRINCIPLE by ZHOU JingYuan, LI TianXing, SU JianXin, WANG Bin, ZHANG RuiYao

“…And this model is solved by using the modified Powell method to obtain the actual modification parameters of the cycloidal gear. The feasibility ofthis method is verified by measuring the tooth profile of the actual machined cycloidal gear, providing a new way to evaluate the error of cycloidal gear in the case of unknown modification parameters.…”
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Analysis of the Possibility of Using 3D Printing for Emergency Replacement of Damaged Elements in the Marine Industry by Krzysztof Jasiński, Lech Murawski, Marcin Kluczyk, Jarosław Wierzchowski, Marek Chodnicki, Krzysztof Lipiński, Adam Szeleziński

“…This article also presents the results of a simplified technical and economic analysis of the bracket support manufacturing samples produced by machining, incremental, and hybrid methods. The quality parameters of the geometric structure of the parts made with the manufacturing methods analyzed in this paper are also compared with each other.…”
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Novel design method for cascade control structure of electric drives: Closed‐form expressions for control gains via pole placement by Csaba Budai, Tamás Tóth‐Katona, Péter Stumpf

“…The paper presents closed‐form expressions for the control gains as the function of desired damping ratios, the natural angular frequency of the control loop, and machine parameters to achieve the desired system dynamics. …”
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Theoretical Design of Generating Tooth Modification Profile with Rack Tools by Feng Jinping, Zhou Guopeng, Lan Gongpu

“…Based on the tooth profile modification equation and tooth contact analysis theory, the transmission error equations between rack cutters and gears in the modification process, involute meshing stage and transition stage of empty meshing are deduced, and the position and speed control equations of rack cutters in the NC machining process are given. The simulated tooth profile parameters coincide highly with the ideal design value of tooth profile. …”
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RESEARCH ON MILLING OF WEAK STIFFNESS PARTS BASED ON MAGNETORHEOLOGICAL FLUID AUXILIARY SUPPORT by ZHANG YongLiang, WANG KeYi, ZHANG ShuaiShuai

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Simulation and optimization of CNC cylindrical grinder Performance based on equivalent analysis of joints spring-damping characteristics by Qi Mingzheng, Wang Han, Sun Xizhi, Li Tianjian, Guo Yang, Wu Tao

“…These elements were classified and calculated to determine their parameters, which were then incorporated into a finite element analysis model to examine the impact of joint stiffness on the static and dynamic performance of the machine tool, with results showing less than a 10% error compared to actual measured data. …”
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An error compensation controller for milling robots by Phan Bui Khoi, Ha Thanh Hai, Tran Minh Thuy

“…The cutting forces depend on the cutting mode, the geometric parameters of the cutting layer, the cutting conditions, etc. …”
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Magnetic field-assisted batch polishing method for the mass production of precision optical glass components by Yee Man Loh, Chunjin Wang, Rui Gao, Lai Ting Ho, Chi Fai Cheung

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Coupling effects of laser assistance and tool rake angle on brittle-ductile transition in monocrystalline silicon by Guohui Li, Gangjie Luo, Jiafu Zhou, Yang Ou, Cheng Huang, Chaoliang Guan, Yifan Dai, Xiaoqiang Peng, Yupeng Xiong

“…Laser-assisted turning (LAT) is an energy-field-assisted turning method developed to improve the machinability of hard and brittle materials, such as monocrystalline silicon. …”
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The Impact of Snow Cover on River Discharge Simulation: Insights from the Barandozchay River Basin by Haleh Hashemi, Hossein Rezaie, Keivan Khalili, Amin Amini

“…Utilizing Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Random Forest (RF), the study evaluates various parameters affecting river discharge, including temperature, precipitation, and solar radiation. …”
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Electromagnetic Investigation of Innovative Stator–Permanent Magnet Motors by Mohammad Reza Sarshar, Mohammad Amin Jalali Kondelaji, Pedram Asef, Mojtaba Mirsalim

“…Owing to the distinct advantages of stator–permanent magnet (PM) motors over other PM machines, their prominence in high-power-density applications is surging dramatically, capturing growing interest across diverse applications. …”
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Predictive modeling of coagulant dosing in drilling wastewater treatment using artificial neural networks by Mahyar Kalhormohammadi, Sanaz Khoramipour

“…After conducting sensitivity analysis to select relevant input-output parameters, predictive models were developed using Recurrent Neural Networks (RNN), a hybrid PSO-RNN model, Extreme Learning Machines (ELMs), and Random Forest (RF). …”
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Multi-Objective Optimization in Hard Turning of AISI 4140 Steel Using Taguchi-Based GRA and DEAR with Ceramic Tool by Mohand Ouidir Sahbi, Sadeddine Abdelhamid, Mohamed Athmane Yallese, Salim Belhadi, Abdelatif Belamri

“…In machining, achieving a low surface roughness (Ra), minimal tool wear (VB), and a high material removal rate (MRR) is essential for successful hard turning. …”
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