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  1. 141

    Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

    Published 2025-04-01
    “…The proposed methodology can be applied to minimizing losses in high-voltage electromechanical drive systems for both AC and DC applications used in various industrial mechanisms. …”
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    Article
  2. 142

    Phase Response Identification of Photodetectors in High-Speed Interferometry Using Photoelectric Pseudorandom Signals by Yunke Sun, Yifei Xie, Xiaotong Yan, Xu Xing, Pengcheng Hu

    Published 2025-01-01
    “…Through correlation operations and phase spectrum analysis, the phase response of a photodetector with a 10-MHz bandwidth is identified with a model reliability of 90% and an uncertainty of 0.50° (k = 2). In practical applications, the identified phase response can help an interferometer suppress asynchronous errors to the sub-nm level within a maximum speed of 1.58 m/s. …”
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  3. 143

    Dynamic Modes of Synchronous Electric Drive with Centrifugal Hydraulic Load of Pump Station by Vladyslav Lysiak, Mykhailo Oliinyk

    Published 2021-07-01
    “…The developed model was verified and its viable applications were suggested.…”
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    Article
  4. 144

    Containerized Event-Driven Microservice Architecture by Siti Zulaikha Mohd Zuki, Radziah Mohamad, Nor Azizah Saadon

    Published 2024-02-01
    “…This paper addresses the issues by proposing a containerized microservices in an asynchronous event-driven architecture. This architecture encloses microservices in containers and implements an event manager to keep track of all the events in an event log to reduce errors in the application. …”
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    Article
  5. 145

    Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

    Published 2024-11-01
    “…The ZMCU equipped with the proposed obstacle detection system has achieved good effects in the real-world applications of train operation.…”
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    Article
  6. 146

    Design and Implementation of a State-Driven Operating System for Highly Reconfigurable Sensor Networks by Tae-Hyung Kim

    Published 2013-08-01
    “…The complicated issues like concurrency control and asynchronous event handling capabilities can be easily achieved in a well-defined behavior of state transition diagram. …”
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    Article
  7. 147

    Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

    Published 2025-01-01
    “…In turn this limits their effectiveness in real-time applications and increase energy budget. To overcome these limitations, this paper explores the benefits of neuromorphic event cameras, which capture asynchronous pixel-level changes, offering lower data processing demands and reduced latency. …”
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    Article
  8. 148

    Mathematical and computer model of a multi-mass multi-motor electric drive system of a belt conveyor by Dmitrieva V.V., Dzyuin D.V.

    Published 2024-04-01
    “…In the Simulink graphic environment of the MATLAB application, using the Specialized Power Systems library for electrical components, a computer model of the multi-motor electromechanical system is designed, including a power supply network, asynchronous motors, gearboxes, drive drums and a 2L100U-01 conveyor belt. …”
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    Article
  9. 149

    Phenotype control and elimination of variables in Boolean networks by Tonello, Elisa, Paulevé, Loïc

    Published 2024-08-01
    “…We examine the possible effects of variable elimination under three of the most popular approaches to control (attractor-based control, value propagation and control of minimal trap spaces), and under different update schemes (synchronous, asynchronous, generalized asynchronous). We provide some insights on the application of reduction, and an ample inventory of examples and counterexamples.…”
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  10. 150

    Student engagement assessment using multimodal deep learning. by Lijuan Yan, Xiaotao Wu, Yi Wang

    Published 2025-01-01
    “…The analysis results demonstrate that the framework, which combines multimodal asynchronous data fusion and deep learning models to assess engagement, is both effective and practical.…”
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    Article
  11. 151

    Leveraging Module Conditional Release to Support Evidence-Based Practices by Sarah Johnson

    Published 2024-12-01
    “… Large enrollment, asynchronous online courses pose many teaching and learning challenges. …”
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    Article
  12. 152

    Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

    Published 2023-05-01
    “…However, in some applications, reducing the data flow is impossible, since the received information is processed with a delay. …”
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    Article
  13. 153

    An Efficient Communication Protocol for Real-Time Body Sensor Data Acquisition and Feedback in Interactive Wearable Systems by Armands Ancans, Modris Greitans, Sandis Kagis

    Published 2024-12-01
    “…These results indicate that the proposed approach is suitable for interactive wearable systems, both for real-time applications and high-resolution data acquisition.…”
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    Article
  14. 154

    High-efficiency sparse convolution operator for event-based cameras by Sen Zhang, Fusheng Zha, Fusheng Zha, Xiangji Wang, Mantian Li, Wei Guo, Pengfei Wang, Xiaolin Li, Lining Sun

    Published 2025-03-01
    “…Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in various robotic applications. …”
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  15. 155

    Leveraging Module Conditional Release to Support Evidence-Based Practices by Sarah Johnson

    Published 2024-12-01
    “… Large enrollment, asynchronous online courses pose many teaching and learning challenges. …”
    Get full text
    Article
  16. 156

    Leveraging Module Conditional Release to Support Evidence-Based Practices by Sarah Johnson

    Published 2024-12-01
    “… Large enrollment, asynchronous online courses pose many teaching and learning challenges. …”
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    Article
  17. 157

    Reimagining Historical Exploration: Multi-User Mixed Reality Systems for Cultural Heritage Sites by Agapi Chrysanthakopoulou, Theofilos Chrysikopoulos, Gerasimos Arvanitis, Konstantinos Moustakas

    Published 2025-03-01
    “…This work presents a mixed reality (MR) system designed to explore inaccessible cultural heritage sites through immersive and interactive experiences. The application features two versions: an asynchronous personalized guided system offering interactions tailored to individual users’ requests and a synchronous guided system providing a shared, collective navigation experience for all users. …”
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  18. 158

    FUTURE FOREIGN LANGUAGE TEACHERS' SOCIAL AND COGNITIVE COLLABORATION IN AN ONLINE ENVIRONMENT by Nike Arnold, Lara Ducate

    Published 2006-01-01
    “…In addition, encouraging future teachers to learn with technology before teaching with it allows them to become comfortable using various computer applications. This article examines transcripts from a semester-long asynchronous discussion between foreign language methodology classes at two different universities. …”
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  19. 159

    Temporal Alignment Model for Data Streams in Wireless Sensor Networks Based on Causal Dependencies by Jose Roberto Perez Cruz, Saul E. Pomares Hernandez

    Published 2014-03-01
    “…New applications based on wireless sensor networks (WSN), such as person-locator services, harvest a large amount of data streams that are simultaneously generated by multiple distributed sources. …”
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  20. 160

    Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training by Nikodimos Provatas, Iasonas Chalas, Ioannis Konstantinou, Nectarios Koziris

    Published 2025-01-01
    “…Deep learning plays a pivotal role in numerous big data applications by enhancing the accuracy of models. However, the abundance of available data presents a challenge when training neural networks on a single node. …”
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