The first experimentally obtained dataset on processing parameters and properties of soft magnetic composites by Radovan Bures, Vasily A. Milyutin, Maria Faberova, Zuzana Bircakova, Peter Kollar, Jan Fuzer

“…Abstract The present work describes the process of the creation and analysis of the first dataset containing processing parameters and functional properties of soft magnetic composites (SMC). …”
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INFORMATION MODELING OF ORGANIZATION OF BRIDGES’ CONSTRUCTION UNDER STOCHASTIC UNCERTAINTY OF TIME PARAMETERS by T. V. Bobrova, M. S. Ratanin, E. P. Timofeeva

“…The research illustrates the process of building bridges as a complex hierarchical system, functioning in conditions of the initial data stochastic uncertainty. …”
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Morphometric parameters of the optic disc and peripapillary retina in children in cases of congenital pathology by T. V. Sudovskaya, L. V. Kogoleva

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Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection by Chenbo Shi, Yuejia Li, Xin Jiang, Wenxin Sun, Changsheng Zhu, Yuanzheng Mo, Shaojia Yan, Chun Zhang

“…By introducing large convolution kernels and depth-wise separable convolution from ConvNext, the model significantly reduces network parameters compared to the original U-Net. Additionally, a composite loss function is devised to address class imbalance issues. …”
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LiteTom-RTDETR: A Lightweight Real-Time Tomato Detection System for Plant Factories by Wenshuai Liu, Qingzheng Liu, Wenyong Quan, Junli Wang, Xiaomin Yao, Qiang Liu, Yuxiang Tian

“…Furthermore, a context guide fusion module was designed to enhance multiscale feature extraction efficiency, and an adaptive sliding weight mechanism was integrated into the loss function to mitigate class-imbalance issues. The proposed LiteTom-RTDETR model was shown to balance high tomato identification accuracy (88.2%) with an excellent real-time inference speed (52.2 frames per second) and computational efficiency (36.3 GFLOPs). …”
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Motor driving force of bridge-type crane lifting mechanism under real operating use by A. N. Nazarov

“…The static characteristic of the electric motor is taken as the initial function. The Clauss formula with the corresponding values of the parameters synchronous speed, critical force and critical slip was used to take into account the driving force of the motor for frequency control and for relay-contactor control and a motor with a phase-rotor and additional resistances in the rotor circuit.Results. …”
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Research on recycling value grading and real-time perception of rock debris from TBM tunneling by Weiqi Yue, Weilin Su, Zhanfei Gu, Xiao Qu

“…Through correlation and weight analysis, we identify five key characteristics, i.e. cutterhead torque, tool penetration, cutterhead thrust, advancing rate, and support shoe pump pressure, to conduct real-time perception of the recycling value level of rock debris. …”
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Use of an anatomical atlas in real-time EIT reconstructions of ventilation and pulsatile perfusion in preterm infants by Christopher J. Rocheleau, Trevor D. Overton, Nilton Barbosa da Rosa, Gary J. Saulnier, Omid Rajabi Shishvan, Christopher D. Baker, Katelyn G. Enzer, Jennifer L. Mueller

“…In conclusion, we present a novel real-time algorithm with the goal of improving spatial resolution for bedside imaging with EIT for conductivity and susceptivity imaging of ventilation and pulsatile perfusion, with the potential to aid in the evaluation of lung function in infants at the bedside.…”
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Lessons to be learned from real life data based on 98 gout patients using benzbromarone by Ioana Hotea, Matthijs Janssen, Tim L. Jansen

“…Aim: This study aims to analyze the efficacy and safety of benzbromarone as uricosuric, in a real-life clinical setting of a retrospective hospital-based gout cohort. …”
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Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

“…We study the problem of classification of various real-world objects using as input a database (DB) of laboratory polarimetric measures (Mueller matrix elements—MMEs). …”
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A Novel Extended Power-Lomax Distribution for Modeling Real-Life Data: Properties and Inference by Maha E. Qura, Mohammed Alqawba, Mashail M. Al Sobhi, Ahmed Z. Afify

“…The APPLx distribution is analytically tractable, and it can be used quite effectively for real-life data analysis. Key mathematical properties of the APPLx distribution including mode, moments, stress-strength reliability, quantile and generating functions, and order statistics are presented. …”
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Real Time Application for Automatic Object and 3D Position Detection and Sorting with Robotic Manipulator by Tichaona Jonathan Makomo, Barış Boru, Kenan Erin

“…To enhance the flexibility and easy functionality of the robot, MATLAB, a versatile and powerful programming language is used to control the robot. …”
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Star-YOLO: A Lightweight Real-Time Wheat Grain Detection Model for Embedded Deployment by Zhihang Qu, Xiao Liang, Sicheng Liang, Xiumei Guo

“…Experimental results indicate that Star-YOLO attains a mean Average Precision (mAP) of 97.3% in wheat grain detection, outperforming models like YOLOv5n and RT-DETR in both accuracy and efficiency, with a reduced parameter count. Tests on embedded devices reveal a 36.8% performance enhancement over the baseline model, fulfilling the demands of real-time detection. …”
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Enhanced Seat Suspension Performance Through Positive Real Network Optimization and Skyhook Inertial Control by Xiaofeng Yang, Rui Sun, Yi Yang, Yanling Liu, Jingchen Hong, Changning Liu

“…Subsequently, based on the principles of network synthesis, the derivation of transfer functions for both first- and second-order systems is discussed, and the network parameters are also optimized. …”
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Real-Time Estimation of the State of Charge of Lithium Batteries Under a Wide Temperature Range by Da Li, Lu Liu, Chuanxu Yue, Xiaojin Gao, Yunhai Zhu

“…The state of charge (<i>SOC</i>) of lithium-ion batteries is essential for their proper functioning and serves as the basis for estimating other parameters within the battery management system. …”
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FPGA-accelerated SpeckleNN with SNL for real-time X-ray single-particle imaging by Abhilasha Dave, Cong Wang, James Russell, Ryan Herbst, Jana Thayer

“…The original model, which was designed for broader classification across multiple biological samples, comprised ~5.6 million parameters. The new implementation, while reducing the parameter count to 64.6K (a 98.8% reduction), focuses on maintaining the model's essential functionality for real-time operation, achieving an accuracy of 90%. …”
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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. To enhance the functionality of the system, the visual sensor data are fused with 3D models through streaming media technology, enabling 3D real-scene augmented reality to support dynamic deformation monitoring and visual analysis. …”
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YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles by Shimin Weng, Han Wang, Jiashu Wang, Changming Xu, Ende Zhang

“…Finally, the Wise-IoU loss function is adopted to replace the traditional bounding box loss. …”
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A Universal Framework for Near-Real-Time Detection of Vegetation Anomalies from Landsat Data by Yixuan Xie, Zhiqiang Xiao, Juan Li, Jinling Song, Hua Yang, Kexin Lv

“…Vegetation anomalies are frequently occurring and may greatly affect ecological functions. Many near-real-time (NRT) detection methods have been developed to detect these anomalies in a timely manner whenever a new satellite observation is available. …”
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Development of a new statistical distribution with insights into mathematical properties and applications in industrial data in KSA by Badr Aloraini, Abdulaziz S. Alghamdi, Mohammad Zaid Alaskar, Maryam Ibrahim Habadi

“…We perform a Monte Carlo simulation analysis to assess the stability of the parameter estimation procedure. The numerical results of these simulations show that the Bayesian technique under the square error loss function performs better than another method to obtain the model parameters. …”
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