Wei Dai

Wei Dai () is a computer engineer known for contributions to cryptography and cryptocurrencies. He developed the Crypto++ cryptographic library, created the b-money cryptocurrency system, and co-proposed the VMAC message authentication algorithm. Provided by Wikipedia
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  1. 1
    State Monitoring Method for Tool Wear in Aerospace Manufacturing Processes Based on a Convolutional Neural Network (CNN)
    by Wei Dai, Kui Liang, Bin Wang
    Published 2021
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  2. 2
    Quantitative microscopy of the Drosophila ovary shows multiple niche signals specify progenitor cell fate
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  3. 3
    Structural evolution and phase transition mechanism of $$\hbox {MoSe}_2$$ MoSe 2 under high pressure
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  4. 4
    Development of a Whole Organism Platform for Phenotype-Based Analysis of IGF1R-PI3K-Akt-Tor Action
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  5. 5
    GABAA receptor subunit gene polymorphisms predict symptom-based and developmental deficits in Chinese Han children and adolescents with autistic spectrum disorders
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  6. 6
    Proteomic analysis reveals large amounts of decomposition enzymes and major metabolic pathways involved in algicidal process of Trametes versicolor F21a
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  7. 7
    Lead halide perovskite vortex microlasers
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  8. 8
    Author Correction: Lead halide perovskite vortex microlasers
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  9. 9
    Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control
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  10. 10
    Community Profile and Drivers of Predatory Myxobacteria under Different Compost Manures
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  11. 11
    Evolutionary mode and functional divergence of vertebrate NMDA receptor subunit 2 genes.
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  12. 12
    Application of ICHD-II criteria in a headache clinic of China.
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  13. 13
    A neural m6A/Ythdf pathway is required for learning and memory in Drosophila
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  14. 14
    Publisher Correction: A neural m6A/Ythdf pathway is required for learning and memory in Drosophila
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  15. 15
    Light limitation inducing overcompensatory growth of cyanobacteria and function of serine/threonine kinase (STK) genes involved
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  16. 16
    Translation and adaptation of the EORTC QLQ-LC 29 for use in Chinese patients with lung cancer
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  17. 17
    Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features
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  18. 18
    Comprehensive single-cell sequencing reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of nasopharyngeal carcinoma
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  19. 19
    Establishment and characterization of new tumor xenografts and cancer cell lines from EBV-positive nasopharyngeal carcinoma
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