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A Taxonomy of Reconfigurable Single-/Multiprocessor Systems-on-Chip
Published 2009-01-01“…A classification scheme for computer systems was provided in 1966 by Flynn where single/multiple data and instruction streams were combined to four types of architectures. …”
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Boosting Parallel Applications Performance on Applying DIM Technique in a Multiprocessing Environment
Published 2011-01-01Get full text
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An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model
Published 2022-01-01“…Teachers in traditional English classes focus more on writing and grammar instruction, while oral language instruction is neglected. …”
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The Potential for a GPU-Like Overlay Architecture for FPGAs
Published 2011-01-01“…The key new contributions of our architecture are mechanisms for managing threads and register files that maximize data-level and instruction-level parallelism while overcoming the challenges of port limitations of FPGA block memories as well as memory and pipeline latency. …”
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Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm
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How informative is your XAI? Assessing the quality of explanations through information power
Published 2025-01-01Get full text
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Exploring English newspaper reading of Chinese college English majors in mobile-assisted language learning
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TransPrint: A Method for Fabricating Flexible Transparent Free-Form Displays
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Human Behaviour Analysis of Barrier Deviations Using a Benefit-Cost-Deficit Model
Published 2009-01-01Get full text
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Analysis of Compliance with WCAG Guidelines Regarding Contrast Im-plementation in an E-Learning Quiz
Published 2024-06-01Get full text
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Serious Games Accessibility Design Model for Low-Vision Children
Published 2023-01-01Get full text
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection
Published 2025-01-01“…Current state-of-the-art approaches are based on Transformer, which require substantial computation resources. Learning-based approaches remains room for optimization in learning the deeper semantics of binary code. …”
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