Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems by Hongming Yang, Hao Liu, Xin Yuan, Kai Wu, Wei Ni, J. Andrew Zhang, Ren Ping Liu

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Performance of TiSiN/TiAlN-Coated Carbide Tools in Slot Milling of Hastelloy C276 with Various Cooling Strategies by Ly Chanh Trung, Tran Thien Phuc

“…However, these same properties pose substantial challenges in machining, resulting in high tool wear, surface defects, and dimensional inaccuracies. …”
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Research on cutting mechanism and process optimization method of gear skiving by Peng Wang, Yuanchao Ni, Xiaoqiang Wu, Jiaxue Ji, Geng Li, Jiahao Wu

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Assessment of slurry chamber clogging alleviation during ultra-large-diameter slurry tunnel boring machine tunneling in hard-rock using computational fluid dynamics-discrete elemen... by Yidong Guo, Xinggao Li, Dalong Jin, Hongzhi Liu, Yingran Fang

“…Furthermore, a comprehensive parameter analysis was conducted to examine the effects of TBM operating parameters, the geometric design of screw conveyor and the size of rocks on the discharging performance of short screw conveyor. …”
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RESEARCH ON GEARBOX FAULT DIAGNOSIS BASE ON ISOMAP AND IGA-SVM by LIU ZhiChuan, TANG LiWei, CAO LiJun

“…A method for optimizing support vector machine（ SVM） parameters was proposed based on isometric feature mapping（ Isomap） and improved genetic algorithm（ IGA）,to solve the problem that parameters are difficult to choose in the process of gearbox fault diagnosis and recognition. …”
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Accuracy of Detecting Degrees of Lameness in Individual Dairy Cattle Within a Herd Using Single and Multiple Changes in Behavior and Gait by Xi Kang, Junjie Liang, Qian Li, Gang Liu

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Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection by Hanchi Liu, Jinrong He, Yanxin Shi, Yingzhou Bi

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Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…Abstract Maximum drift ratio (MDR), one of the engineering demand parameters (EDPs), provides fundamental physical value for predicting building damage. …”
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CONTROL OVER PROCESS OF SIMULTANEOUS DOUBLE-SIDED LENS FORMATION AT PRELIMINARY PROCESSING STAGE by I. P. Filonov, A. S. Kozeruk, E. O. Lapteva, M. I. Filonova, V. O. Kuznechik, A. V. Vasilevich

“…Methodology for determination of optimum setting parameters for technological equipment that ensure the prescribed accuracy of a work-piece at the preliminary machining stage under conditions of free rubbing has been developed in the paper. …”
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Exposure to Noise from Agricultural Machinery: Risk Assessment of Agricultural Workers in Italy by Valerio Di Stefano, Massimo Cecchini, Simone Riccioni, Giorgia Di Domenico, Leonardo Bianchini

“…This study aims to analyze the exposure to noise risk during use of wheeled and tracked tractors, with or without a cab, as well as other operating machines. The analysis takes into account the parameters Lpeak (peak sound pressure values), LAeq.T (time-weighted equivalent noise exposure levels) and LAS (maximum and minimum values weighted according to the Slow time constant) in order to assess the noise impact and define strategies for improving the safety and health of workers. …”
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Assessing the Impact of Mixed Pixel Proportion Training Data on SVM-Based Remote Sensing Classification: A Simulated Study by Jianyu Gu, Russell G. Congalton

“…Support vector machine (SVM) algorithms have been widely utilized in the remote sensing community due to their high performance with small training datasets. …”
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Quality Metrics of Automated Machinery in Potato Plant Cultivation for Breeding and Seed Production by N. V. Sazonov, M. A. Mosyakov, V. S. Teterin, N. S. Panferov, M. M. Godyaeva, M. S. Trunov

“…This was achieved by analyzing statistical data on the distribution of the indirect parameter (indications of infection on the inside of the plant leaf) and considering the margin of error in its measurements. …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…In the era of digital healthcare, electronic health records generate vast amounts of data, much of which is unstructured, and therefore, not in a usable format for conventional machine learning and artificial intelligence applications. …”
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Research progress and prospects of intelligent mine ventilation by LIU Xiangying

“…The research progress has been analyzed from four aspects: ventilation parameter monitoring technology, real-time calculation methods for ventilation networks, emergency regulation technology for ventilation disasters, and the architecture of intelligent mine ventilation systems, focusing on ventilation parameter detection devices, optimization of measurement schemes, real-time monitoring and calculation of networks, anomaly diagnosis methods, and emergency regulation technologies. …”
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Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis by Tomasz Walczyna, Damian Jankowski, Zbigniew Piotrowski

“…This study highlights the impact of optimizing parameter configurations, lightweight architectures, and training methodologies to enhance anomaly detection performance. …”
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Prediction of rock type from physical and mechanical properties by data mining implementations by Fatih Bayram

“…At every stage of mining operations, the rock type is the critical parameter in determining the procedures to be carried out and the equipment to be used. …”
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Effective Formalization of Design Processes as a Key Factor in Achieving Optimal Solutions When Creating the Final Stages of Steam Turbines by Anatolii O. Tarelin, Iryna Ye. Annopolska

Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C by Jimmy Tjen, Valentino Pratama

“…Furthermore, the algorithm identified albumin (ALB),  Creatinine (CREA), Bilirubin (BIL), Aspartate Transaminase (AST) and Cholesterol (CHOL) as significant risk factors in determining whether someone is potentially infected with hepatitis C or not, with Creatinine is identified as the most important parameter among all 5 parameters mentioned above. …”
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Influence of Explanatory Variable Distributions on the Behavior of the Impurity Measures Used in Classification Tree Learning by Krzysztof Gajowniczek, Marcin Dudziński

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Flow partition in two-dimensional open channels with porous structures by Fikri M. Radiyan, Xiaofeng Liu

“…Its simplicity makes it especially useful for preliminary engineering evaluations. A machine learning-based analysis further quantified the importance of the three dimensionless parameters and interpreted their control on the flow partition. …”
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