Traction Calculation for Modular Energotechnological Unit Given Kinematic Mismatch of Driving Axles by A. V. Lavrov, V. А. Voronin, M. V. Sidorov, I. A. Pekhalskiy

“…Analyzing the dependence of the running system efficiency on the kinematic mismatch of the first and third axles at the traction of 30 kilonewtons, the extremes of all the dependencies at the kinematic mismatch between the third bridge and the second one different unit were detected.Conclusions It has been revealed that the change in the efficiency of the chassis system of the modular energotechnological unit depends on the kinematic mismatch between the third axle and the second one at a predetermined kinematic mismatch between the first axle and the second axle, which is a structural feature for 4K4 wheeled tractors. …”
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Small Glaciers of the Putorana Plateau under Climate Change by N. V. Kovalenko, V. V. Popovnin, A. S. Gubanov, A. A. Polyhov, Ye. I. Uspenskaya

“…Their regime and morphology have so much common features that separation of these two categories of nival glacial formations from one another is extremely difficult problem. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…A human activity recognition (HAR) system can be a valuable tool for elderly individuals or patients, as it monitors their activities and detects any significant changes in behavior or events. …”
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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Additionally, model validation remains a critical problem, as many studies fail to validate their models on diverse datasets, often relying on limited data from a single laboratory. …”
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Atrial Fibrillation in Hypertrophic Cardiomyopathy by G. A. Ignatenko, G. G. Taradin, N. T. Vatutin, A. A. Kaluga, Yu. D. Kostyamin

“…The current information about features of atrial fibrillation in patients with hypertrophic cardiomyopathy is presented in this review. …”
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BLACKMAIL AS A METHOD OF EXTORTION by KHOMUTOVA RUSLANA, DAVTYAN DAVID

“…An important section is the analysis of the difficulties of detecting and investigating extortion, the features of latency, the use of new methods of criminology and interdepartmental interaction, as well as forecasting new threats. …”
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Validation of a machine learning model for indirect screening of suicidal ideation in the general population by Polona Rus Prelog, Teodora Matić, Peter Pregelj, Aleksander Sadikov

“…The primary goal of this study was to validate a machine-learning-based model for screening suicidality using indirect questions, developed on data collected during the early COVID-19 pandemic and to differentiate suicide risk among subgroups like age and gender. The detection of suicidal ideation (SI) was based on habits, demographic features, strategies for coping with stress, and satisfaction with three important aspects of life. …”
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On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…The author gives examples of solving identification, prediction, and detection problems that are successfully solved using such systems. …”
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Proposal for Slepian-States-Based DV- and CV-QKD Schemes Suitable for Implementation in Integrated Photonics Platforms by Ivan B. Djordjevic

“…Quantum repeaters would be an ultimate solution to overcome this problem; however, they are well beyond the reach. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…To simulate real-world conditions， noise was added to modal parameters. Dynamic features， such as natural frequencies and mode shapes， were used for damage detection. …”
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Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…Additionally, we demonstrate the automation in SEM images preprocessing using feature detection, and this facilitates intelligent manufacturing in semiconductor processing. …”
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Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints by Lijuan Li, Siyi Wang, Jichao Ma, Xiaobing Gao

“…Focusing on the spatially constrained industrial environments and complex measurement specifications, the work reformulates Laser Radar inspection planning as a multi-constrained optimization problem challenge. Firstly, a parametric geometric modeling approach is developed to define measurement spaces for individual features, accompanied by an innovative maximal complete subgraph mining algorithm to intelligently identify shared feasible measurement regions among multiple features. …”
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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…An analysis of the state of the theoretical and methodological base on the problem of migration of foreign students made it possible to establish the lack of elaboration of aspects related to the spatial features of their transformation and, in particular, the adaptation of foreign students in host countries. …”
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Security situational awareness of power information networks based on machine learning algorithms by Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan

“…A perception model outlines the consequences of the abstracted perception problem. Sample data is initially pre-processed using linear discriminant analysis methods to optimise the data, get integrated features, and ascertain the best projection. …”
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From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

“…The process involves matching each pixel of the input frame with a georeferenced orthomosaic using a feature-matching algorithm. Subsequently, a tracking-enabled YOLOv8 object detection model is applied to the frame to detect vehicles and their trajectories. …”
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Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm by Faris Kateb, Mahmoud Ragab, Felwa Abukhodair, Omar Ahmed Abdulkader, Louai A. Maghrabi, Sami Saeed Binyamin, Mohammed Khaled Al-Hanawi

“…The bacterial foraging optimization algorithm (BFOA) method is used for feature extraction. Moreover, a convolutional neural network with long short-term memory (CNN-LSTM-Attention) technique is used for disease detection and classification. …”
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A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation by Xingyu Liu, Xin Meng, Ze Hu, Hancong Duan, Min Wang, Yaping Chen

“…To overcome these shortcomings, this paper proposes a novel fault detection method based on the analysis of motor power parameters. …”
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Subclinical and long-term effects of severe acute respiratory syndrome coronavirus 2 infection in Danish farmed mink: implications for disease surveillance by Michelle Lauge Quaade, Mia Mylin Jensen, Thomas Bruun Rasmussen, Tim Kåre Jensen, Anne Sofie Hammer

“…The current SARS-CoV-2 surveillance system on Danish mink farms does not properly address such problems and repeated outbreaks on farms could occur without detection if there are no clinical signs or increased mortality due to SARS-CoV-2. …”
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Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…To solve the problems related to manual segmentation such as time-cost, inaccuracy and subjectivity, automatic segmentation with deep learning methods is presented. …”
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A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

“…In power systems, the application of wind power generation equipment and power electronic devices leads to an increased frequency of broadband oscillation events, and the detection of oscillation information becomes extremely difficult, due to the limitations of communication bandwidth and the sampling theorem. …”
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