Methods of experimental evaluation of lateral forces (review) by A. M. Brzhezovskiy

“…Review includes recommendations for evaluating the adequacy of the measuring lateral forces on the basis of analysis of experimental data from a number of dynamic interaction processes in rolling stock and track interaction recorded simultaneously with the side forces on the same measurement track sections, including dynamic stresses in the edges of the rail foot of horizontal transverse forces, acting on the rail to the sleeper, frame strength.…”
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Projected Spatiotemporal Evolution of Urban Form Using the SLEUTH Model with Urban Master Plan Scenarios by Yuhan Liu, Caiyan Wu, Jiong Wu, Yangcen Zhang, Xing Bi, Meng Wang, Enrong Yan, Conghe Song, Junxiang Li

“…The spatial pattern followed a “concave shape” pattern and displayed anisotropic behavior, with the high values for these indicators primarily observed before 2025. (3) The urban form followed a diffusion–coalescence process, with patch areas dominated by the infilling mode and patch numbers dominated by the edge-expansion mode. …”
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RESEARCH ON MODELING METHOD OF EQUIVALENT TURNING FORCE MODEL (MT) by WU MingZhou, ZHANG GuangPeng, GOU JianFeng, ZHANG Peng

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Evaluation of Cutting Forces and Temperatures in Micro-Milling of NiTi Alloys Using Finite Element Modeling by Nataliia Balytska, Oleh Tomashevskyi, Valentina Shadura

“…Micro-milling is the process of manufacturing high-precision small parts using microtools, and it is characterized by more difficult chip formation conditions and higher specific cutting forces than conventional milling. …”
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Large language models in the management of chronic ocular diseases: a scoping review by Jiatong Zhang, Xiaoxi Song, Bocheng Tian, Mingke Tian, Zhichang Zhang, Jing Wang, Ting Fan

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Research on mapping recognition of arc welding molten pool characterisation and penetration state based on embedded system by Yanjun Zhu, Zhisheng Wu, Cuirong Liu

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Search for new technological methods of strengthening treatment of crankshafts by Anatoly Prokofyevich Babichev, Mikhail Egorovich Popov, Ahmad El Dakduki, Philip Andreyevich Pastukhov

“…The work objective is searching new methods of strengthening processing of the cranked shaft. Modern constructive and processing methods of increasing the durability of the engine cranked shaft are considered. …”
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Gearbox Fault Diagnosis Using Industrial Machine Learning Techniques by Krisztián Horváth, Ambrus Zelei

“…Advances in machine learning (ML) and image processing have opened new avenues for diagnosis. This study explores ML techniques, particularly edge detection and maximized pooling, with the Inverse Distance Weighting method, for diagnosing gearbox faults from vibration signal images. …”
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Recent Advances in Biofilm Control Technologies for the Food Industry by Jirapat Dawan, Song Zhang, Juhee Ahn

“…Furthermore, surface modifications of food contact materials provide innovative solutions for preventing biofilm formation and enhancing food safety. These cutting-edge strategies not only improve food safety but also reduce contamination risk in food processing facilities. …”
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Research on Intelligent Identification Method for Pantograph Positioning and Skateboard Structural Anomalies Based on Improved YOLO v8 Algorithm by Ruihong Zhou, Baokang Xiang, Long Wu, Yanli Hu, Litong Dou, Kaifeng Huang

“…In order to obtain real-time information on the abnormal state of the skateboard in advance, an intelligent defect identification model suitable to be used as a monitoring device for the pantograph skateboard was designed using a computer vision-based intelligent detection technology for pantograph skateboard defects, combined with an improved YOLO v8 model and traditional image processing algorithms such as edge extraction. The results show that the anomaly detection algorithm for the pantograph sliding plate structure has good robustness, maintaining recognition accuracy of 90% or above in complex scenes, and the average runtime is 12.32 ms. …”
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Comparison of Deep Learning Techniques for RF-Based Human Posture Detection Systems by Eugene Casmin, Miriam Rodrigues, Americo Alves, Rodolfo Oliveira

“…We further show the slight edge that VAE-based solutions have over plain DL solutions in terms of accuracy.…”
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Multi-Class Urinary Sediment Particles Detection Based on YOLOv7 With Attention Modules by Tatsuki Komori, Hiroki Nishikawa, Keita Sasaki, Ittetsu Taniguchi, Takao Onoye

“…Traditional machine learning techniques approach the task of urine sediment particle detection as an image classification problem, wherein the particles are segmented based on features like edges or thresholds. However, the segmentation process for sediment particles in urine images is complex due to the inherent limitations of low contrast and weak edge characteristics. …”
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Computer vision-based detection of liquid levels within cylindrical tanks in wastewater treatment by MA Huanhuan, LI Yunbei, ZHANG Yuanxin, HE Yu, SHI Ningning, FAN Anrui, ZHOU Linhao, HUANG Biaobing, HONG Shuangxi, ZHANG Xiaoju

“…【Method】A multi-modal image processing and intelligent monitoring platform was developed using OpenCV. …”
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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…The question is, for example, on severe observing conditions hindering the registration process, and null aprior information on the type of background noise. …”
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High-efficiency filtration: Smart designs for particle trapping by Bahador Abolpour, Ramtin Hekmatkhah, Rahim Shamsoddini

“…To achieve this, we use a genetic algorithm to determine the optimal arrangement of square obstacles within a turbulent flow field. The process starts with an image processing method (IPM) that identifies geometric objects in the filtered image. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

“…The contribution includes enhancing the edges and textures of CT images through filtering to achieve precise liver segmentation. …”
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CAS-SFCM: Content-Aware Image Smoothing Based on Fuzzy Clustering with Spatial Information by Felipe Antunes-Santos, Carlos Lopez-Molina, Maite Mendioroz, Bernard De Baets

“…Such adaptation to local image conditions is intended to avoid the blurring of relevant structures (such as ridges, edges, and blobs) in the image. While the former strategy was ubiquitous in the early years of image processing, the last 20 years have seen an ever-increasing use of the latter, fueled by a combination of greater computational capability and more refined mathematical models. …”
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Effect of cutting parameters and tool coating on residual stress and cutting temperature in dry hard turning of AISI 52100 steel using finite element method by Sandip Mane, Rajkumar Bhimgonda Patil, Md Irfanul Haque Siddiqui, Choon Kit Chan, Yong Xu

“…The residual stresses induced during the hard turning process significantly impact the performance and reliability of the machined component. …”
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Surface Quality of CNC Face-Milled Maple (<i>Acer pseudoplatanus</i>) and Oak (<i>Quercus robur</i>) Using Two End-Mill Tool Types and Varying Processing Parameters by Ana-Maria Angelescu, Lidia Gurau, Mihai Ispas

“…Face milling with end-mill tools represents a solution for woodworking applications on small-scale or complex surfaces, but information regarding the surface quality per specific tool type, wood material, and processing parameters is still limited. Therefore, this study examined the surface quality of tangential oak and maple CNC face-milled with two end-mill tools—straight-edged and helical—for three values of stepover (5, 7, 9 mm) and two cutting depths (1 and 3 mm). …”
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ARUC-GAN: A CycleGAN-Based Attention Residual U-Net for Low-Dose CT Denoising in Smart Healthcare by Mohammad Mansour, Djamel Djenouri, Lobna A. Said, Shahid Latif, Ahmed Maalel, Ameer M. S. Abdelhadi

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