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  1. 10381

    Core-Level Modeling and Frequency Prediction for DSP Applications on FPGAs by Gongyu Wang, Greg Stitt, Herman Lam, Alan George

    Published 2015-01-01
    “…For example, the lengthy design-translate-execute (DTE) process often must be iterated to meet the application requirements. …”
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    Developing and validating the scale of language teachers’ design thinking competency in artificial intelligence language teaching (LTDTAILT) by Amir Reza Rahimi

    Published 2025-06-01
    “…However, teachers themselves need to possess DT competency to effectively cultivate it in their students, particularly in humanistic fields like applied linguistics, Computer Assisted Language Learning (CALL), and Artificial Intelligence Language Teaching (AILT). …”
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  7. 10387
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    Cellular Automata-Based Parallel Random Number Generators Using FPGAs by David H. K. Hoe, Jonathan M. Comer, Juan C. Cerda, Chris D. Martinez, Mukul V. Shirvaikar

    Published 2012-01-01
    “…Cellular computing represents a new paradigm for implementing high-speed massively parallel machines. …”
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  9. 10389

    3D reconstruction of toys based on adaptive scaled neural radiation field by Jiajun Zou, Shaojiang Liu, Feng Wang, Weichuan Ni, Shitong Ye

    Published 2025-07-01
    “…With the rapid development of computer vision technology, 3D reconstruction of toys under single-view conditions still faces significant challenges in terms of detail loss and color distortion. …”
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    Design and Development of Efficient SRAM Cell Based on FinFET for Low Power Memory Applications by M. V. Nageswara Rao, Mamidipaka Hema, Ramakrishna Raghutu, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Ilhami Colak, Baseem Khan

    Published 2023-01-01
    “…Stationary random-access memory (SRAM) undergoes an expansion stage, to repel advanced process variation and support ultra-low power operation. …”
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    Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages by Koena Ronny Mabokela, Mpho Primus, Turgay Celik

    Published 2024-11-01
    “…However, due to linguistic complexities and limited data or computational resources, it is under-represented in many African languages. …”
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    iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism by Qian Zhou, Jie Meng, Hao Luo

    Published 2025-03-01
    “…Therefore, they have good property of processing spatio-temporal information and are well suited for learning sequence information. …”
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