OBTAINING THE DEWEY DECIMAL CLASSIFICATION NUMBER FROM OTHER DATABASES: A CATALOG CLEAN-UP PROJECT


Semi-Markov Based Dependability Modeling of Bitcoin Nodes Under Eclipse Attacks and State-Dependent Mitigation

The block chain technology has immense potential in many different applications, including but not limited to cryptocurrencies, financial services, smart contracts, supply chains, healthcare services, and energy trading.Due to the critical nature of these applications, it is pivotal to model and evaluate dependability of the block chain-based syste

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A Review of the Optimal Design of Neural Networks Based on FPGA

Deep learning based on neural networks has been widely used in image recognition, speech recognition, natural language processing, automatic driving, and other fields and has made breakthrough progress.FPGA stands out in the field of accelerated deep learning with its advantages such as flexible architecture and logic units, high energy efficiency

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