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3篇 您的检索式:作者名="Bragadeesh"
    题名 作者 年代 出处 被引量
1Detection of peripheral vascular stenosis by assessing skeletal muscle flow reserve显示文摘Bragadeesh T Sari I Pascotto M 0,,:1
2Relationshipbetween right ventricular volumes measured by cardiac magneticresonance imaging and prognosis in patients with chronic heartfailure显示文摘Bourantas CV Loh HP Bragadeesh T 2011Eur J Heart Fail2011,13,1:1
3Secured Vehicle Life Cycle Tracking Using Blockchain and Smart Contract显示文摘Life Cycle Tracking(LCT)involves continuous monitoring and analy-sis of various activities associated with a vehicle.The crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain phases are involved and the data is assessed by multiple stakeholders.Frauds and swindling activities can be prevented if the history of the vehicles is made available to the interested parties.Blockchain provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions per-formed.Machine learning techniques when combined decentralized nature of blockchains can be used to develop a robust Vehicle LCT model.In the proposed work,Harmonic Optimized Gradient Descent andŁukasiewicz Fuzzy(HOGD-LF)Vehicle Life Cycle Tracking in Cloud Environment is proposed and it involves three stages.First,the Progressive Harmonic Optimized User Registra-tion and Authentication model is designed for computationally efficient registra-tion and authentication.Next,for the authentic user,the Gradient Descent Blockchain-based SVM Data Encryption model is designed with minimum CPU utilization.Finally,Łukasiewicz Fuzzy Smart Contract Verification is per-formed with encrypted data to ensure accurate and precise fraudulent activity deduction.The experimental analysis shows that the proposed method achieves significant performance in terms of life cycle’s prediction time,overhead,and accuracy for a different number of users.Srinivasan Ananthanarayanan Bragadeesh Arumugam Umamakeswari 2022Computer Systems Science & Engineering2022,41,4:0
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