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  1. 5561

    Changes and Perspectives in Food Studies by Elisabeth Dumoulin

    Published 2012-10-01
    “…How do we teach them to use, in an efficient way, computers, data bases, the internet, but also to learn and practice in the lab, on pilot equipment, in the plant during long internships? …”
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  2. 5562
  3. 5563

    Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

    Published 2021-12-01
    “…Modeling morphological processing. In L. B. Feldman (Ed.), Morphological aspects of language processing (p. 131–154). …”
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  4. 5564
  5. 5565

    Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

    Published 2025-01-01
    “…Even when trained on sufficient neural data, the performance of a brain-computer interface (BCI) is susceptible to error due to both systematic and random noise. …”
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  6. 5566

    Expanding the frontiers of additive manufacturing: Higher microstructure identification through probability modeling by Muhammad Shoaib, Muhammad Idrees, Hakeem Ullah, Aasim Ullah Jan, Touqeer Ahmad, Ali Akgül, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

    Published 2025-06-01
    “…The computational system demonstrated its resistance to process modifications through a validated sensitivity analysis. …”
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  7. 5567

    Comparison of marginal fit between milled and three-dimensional printed polymethylmethacrylate prostheses for single crowns, anterior bridges, and pier abutment bridges: An in vitr... by Aman Merchant, Kiran Kumar Pandurangan, Amrutha Dinesh Shenoy, Deepak Nallaswamy, Pooja Nilesh Singh

    Published 2025-01-01
    “…Tooth preparations were conducted on a typodont jaw set, followed by digital scanning and design processes. Computer-aided design and computer-aided manufacturing milling and 3D printing were employed for the fabrication of prostheses. …”
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  8. 5568
  9. 5569
  10. 5570

    Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

    Published 2025-02-01
    “…Computer vision and image processing have become relevant in recent years due to their capabilities to support different tasks in several areas. …”
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  11. 5571
  12. 5572

    Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

    Published 2023-05-01
    “…In addition, a large amount of memory and computational operations for the accumulator maintenance significantly increase the computation load of the trajectory processor.Aim. …”
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  13. 5573

    Microsoft Office 2003 Volume 2 / by O'leary, Timothy J.

    Published 2003
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    Book
  14. 5574
  15. 5575

    Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming by Mohammed Yunus, Mohammad S. Alsoufi

    Published 2018-01-01
    “…Many researchers are currently working with different perspectives on this FSW process for various combinations of materials. The general input process parameters are the thickness of the plate, axial load, rotational speed, welding speed, and tilt angle. …”
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  16. 5576

    RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

    Published 2023-01-01
    “…Conclusions: the use of a deep neural network at the stage of noise reduction in the input file is justified, as it provides an increase in the WER metric by almost 25%, and an increase in the computing power of the graphics processor and the number of stream processors provide acceleration only for large input audio files. …”
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  17. 5577
  18. 5578

    Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

    Published 2025-01-01
    “…In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and identically distributed (non-IID) local data, as well as dynamic and heterogeneous computing and communication capabilities. …”
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  19. 5579

    DELTa: Dynamic Energy-and-Latency-Aware Task Scheduling for Fog-Cloud Paradigm by Abhijeet Mahapatra, Rosy Pradhan, Santosh K. Majhi, Kaushik Mishra

    Published 2025-01-01
    “…For parallel processing, a Self-adaptive Fuzzy C-means++ (SaFCm++) approach has been applied to cluster the Fog computing nodes depending on the heterogeneity of the computational nodes. …”
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  20. 5580

    Analog and digital systems and high-performance solutions in problems of brain research and modeling by N. I. Ananyeva, A. V. Bogdanov, D. E. Gushchanskiy, A. B. Degtyarev, N. M. Zalutskaya, K. A. Lysov, N. G. Neznanov, O. O. Iakushkin

    Published 2018-07-01
    “…Paper highlights areas of particular interest such as working with external storage, distributed data processing and visualization of acquired results. For each of them we survey existing options for creating cloud-based distributed computing solutions that can solve important challenges faced by researchers in their work.…”
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