Showing 8,941 - 8,960 results of 26,849 for search 'evaluation computing', query time: 0.22s Refine Results
  1. 8941

    Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

    Published 2024-01-01
    “…The EDC execution method operates without the need for a computational distance function, thereby revolutionizing the clustering paradigm for high-performance data classification. …”
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    Multiclass Classification of Imagined Speech Vowels and Words of Electroencephalography Signals Using Deep Learning by Nrushingh Charan Mahapatra, Prachet Bhuyan

    Published 2022-01-01
    “…The paper’s emphasis is on the imagined speech decoding of electroencephalography (EEG) neural signals of individuals in accordance with the expansion of the brain-computer interface to encompass individuals with speech problems encountering communication challenges. …”
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    Design and analysis of a novel fast adder using logical effort method by Hamid Tavakolaee, Gholamreza Ardeshir, Yasser Baleghi

    Published 2023-07-01
    “…Abstract Addition, as one of the fundamental math operations, is applied widely in Very‐large‐scale integration systems and digital signal processing, such that the computational speed of a system depends mainly on the computational speed of its adders. …”
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  13. 8953

    Predicting the performance of ORB-SLAM3 on embedded platforms by Jacques Matthee, Kenneth Uren, George van Schoor, Corne van Daalen

    Published 2024-12-01
    “…Simultaneous Localization and Mapping (SLAM) is a crucial component to the push towards full autonomy of robotic systems, yet it is computationally expensive and can rarely achieve real-time execution speeds on embedded platforms. …”
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    Developing and validating measures for AI literacy tests: From self-reported to objective measures by Thomas K.F. Chiu, Yifan Chen, King Woon Yau, Ching-sing Chai, Helen Meng, Irwin King, Savio Wong, Yeung Yam

    Published 2024-12-01
    “…The test enables AI education researchers and practitioners to appropriately evaluate their AI-related education interventions.…”
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