On the issue of choosing vertical and horizontal connections in a bogie for freight cars of high-speed trains by G. I. Gadzhimetov, G. I. Petrov, Yu. A. Panin, I. E. Il’in

“…Tests were carried out on prototypes of rolling stock having different elastic-dissipative connections in the “body-bogie-wheelsets” system. Based on the results of the analysis, design solutions have been determined that allow achieving satisfactory dynamic qualities for a freight car at a speed of up to 140 km/h. …”
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Analysis of interruptions in the external power supply of coal-fired power plants Kuzbass mines by Efremenko V.M., Skrebneva E.V., Lebedev G.M.

“…Power outages lasting more than 0.15 seconds lead to failures of safety monitoring and management systems, communications, activation of electrical protection systems, as well as automatic control systems for coal mining processes. …”
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Assessing costa rican children speech recognition by humans and machines by Maribel Morales-Rodríguez, Marvin Coto-Jiménez

“… In recent years, an increasing number of studies on human-computer interaction is taking place, due to the pervasive speech interfaces implemented in systems such as cell phones, personal and home automation assistants. …”
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FEATURES OF DIGITALIZATION OF RELATIONSHIPS IN THE INDUSTRIAL MARKET by A. V Zheregelya

“…Currently, there is a radical shift in the production paradigm towards automation, the introduction of information and computing systems that allow us replace human labor with a program, which is especially noticeable in the activities of the accounting, personnel, planning department at the enterprise. …”
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Discovering High-Level Process Models from Event Logs by Antonina A. Begicheva, Irina A. Lomazov

“…In this paper we consider the problem of discovering a high-level business process model from a low-level event log, i.e. automatic synthesis of process models based on the information stored in event logs of information systems. …”
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An Unstructured Mesh Generation Tool for Efficient High‐Resolution Representation of Spatial Heterogeneity in Land Surface Models by Hanwen Fan, Qingchen Xu, Fan Bai, Zhongwang Wei, Yonggen Zhang, Xingjie Lu, Nan Wei, Shupeng Zhang, Hua Yuan, Shaofeng Liu, XianXiang Li, Xueyan Li, Yongjiu Dai

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The multiple uses of artificial intelligence in exercise programs: a narrative review by Alberto Canzone, Alberto Canzone, Giacomo Belmonte, Antonino Patti, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Fabio Rapisarda, Valerio Giustino, Patrik Drid, Antonino Bianco

“…The findings suggest that artificial intelligence holds promise in promoting physical activity across diverse populations, including children, adolescents, adults, older adult, and individuals with disabilities.ConclusionOur research found that artificial intelligence, machine learning and deep learning techniques were used: (a) as part of applications to generate automatic messages and be able to communicate with users; (b) as a predictive approach and for gesture and posture recognition; (c) as a control system; (d) as data collector; and (e) as a guided trainer.…”
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SOME PROBLEMS OF ELECTRICAL GEOPHYSICAL PROSPECTING METHODS USED FOR EXPLORATION OF ORE DEPOSITS by V. A. Kulikov, A. G. Yakovlev, V. A. Polikarpova

“…In the last two decades, new computer technologies and satellite navigation systems were successfully introduced in the geophysical industry. …”
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The Application of Artificial Intelligence in Engineering Education: A Systematic Review by Cong Liu, Guang-Chao Wang, Hong-Feng Wang

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Digital transformation of construction training at the university in conditions of using an electronic educational resource for the discipline «Technical expertise and technology f... by Olga A. Bessonova, Ludmila I. Mironova

“…The relevance of the study can be explained by the fact that insufficiently developed Russian regulatory framework and the limited distribution of domestic computer-aided design programs slow down the digital transformation of both the construction industry and the education system. …”
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Synthesis and structure of new 4-amino-5-(2-R1-phenyl)-1,2,4-triazole-3-thiol alkilderivatives by Ye. S. Pruglo

“…The melting point was determined on an automatic gear MPA100. The elemental composition of the compounds was set on the analyzer Elementar Vario EL cube. 1H NMR spectra were recorded using the spectrometer Varian Mercury VX-200 (1H, 200 MHz) and decrypted by a computer program SpinWorks 3.1.8. …”
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Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence by Hedayetul Islam, Md. Sadiq Iqbal, Muhammad Minoar Hossain

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A Database of Underwater Radiated Noise from Small Vessels in the Coastal Area by Mark Shipton, Juraj Obradović, Fausto Ferreira, Nikola Mišković, Tomislav Bulat, Neven Cukrov, Roee Diamant

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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…ObjectiveRice diseases significantly impact both the yield and quality of rice production. Automatic recognition of rice diseases using computer vision is crucial for ensuring high yields, quality, and efficiency. …”
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Calibración de cámaras de tiempo de vuelo: Ajuste adaptativo del tiempo de integración y análisis de la frecuencia de modulación by P. Gil, T. Kisler, G.J. García, C.A. Jara, J.A. Corrales

“…However, the distance parameter computed from these cameras is strongly dependent on the integration time set for the sensor and the frequency of modulation used by the integrated lighting system. …”
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Energy-Adaptive SGHSMC: A Particle-Efficient Nonlinear Filter for High-Maneuver Target Tracking by Chang Ho Kang, Sun Young Kim

“…The experimental validation uses a bearing-only tracking scenario with a quadrupedal robot executing complex maneuvers, tracked by high-precision angular measurement systems. In practical tracking scenarios, the SGHSMC filter achieves a 77% better accuracy than EKF while maintaining the computational efficiency suitable for real-time applications. …”
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SiMBA-Augmented Physics-Informed Neural Networks for Industrial Remaining Useful Life Prediction by Min Li, Jianfeng Qin, Haifeng Fan, Ting Ke

“…To tackle the limitations of poor interpretability, inaccurate predictions, and high computational cost in complex system degradation modeling, this paper proposes SiMBA-PINN, a novel fusion framework that synergizes Physics-Informed Neural Network (PINN) with an enhanced state-space model (SiMBA). …”
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Inverse-design topology optimization of magnonic devices using level-set method by Andrey A. Voronov, Marcos Cuervo Santos, Florian Bruckner, Dieter Suess, Andrii V. Chumak, Claas Abert

“…While promising for analog, Boolean, and neuromorphic computing, current implementations face memory limitations that hinder the design of complex systems. …”
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Mahakala: A Python-based Modular Ray-tracing and Radiative Transfer Algorithm for Curved Spacetimes by Aniket Sharma, Lia Medeiros, George N. Wong, Chi-kwan Chan, Goni Halevi, Patrick D. Mullen, James M. Stone

“…We employ Google’s JAX framework for accelerated automatic differentiation, which can efficiently compute Christoffel symbols directly from the metric, allowing the user to easily and quickly simulate photon trajectories through non-Kerr spacetimes. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

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