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Disambiguation of "Norvill, Robert"

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IPFS for Reduction of Chain Size in Ethereum.

, , , and . iThings/GreenCom/CPSCom/SmartData, page 1121-1128. IEEE, (2018)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Robert Wille

Towards a design flow for reversible logic. Uni Bremen, (2009)

Robert Klöfkorn

Numerics for evolution equations: a general interface based design concept. Uni Freiburg, (2009)

Robert Braun

Referenzmodellierung: Grundlegung und Evaluation der Technik des Modell-Konfigurationsmanagements. TU Dresden, (2010)

Robert Wagner

Inkrementelle Modellsynchronisation. Uni Paderborn, (2009)

Robert Zangenfeind

Das Bedeutung-Text-Modell: Wörterbuch und Grammatik einer integralen Sprachbeschreibung. Uni München, (2009)
 

Other publications of authors with the same name

Standardising smart contracts: Automatically inferring ERC standards., , , and . IEEE ICBC, page 192-195. IEEE, (2019)Automated Labeling of Unknown Contracts in Ethereum., , , , and . ICCCN, page 1-6. IEEE, (2017)Demo: Blockchain for the Simplification and Automation of KYC Result Sharing., , , and . IEEE ICBC, page 9-10. IEEE, (2019)ÆGIS: Shielding Vulnerable Smart Contracts Against Attacks., , , , , and . AsiaCCS, page 584-597. ACM, (2020)An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning., , and . MDAI, volume 13408 of Lecture Notes in Computer Science, page 143-155. Springer, (2022)Decentralised Compliant Data Trading for Banks., , , , and . IECC, page 121-128. ACM, (2020)ÆGIS: Smart Shielding of Smart Contracts., , , and . CCS, page 2589-2591. ACM, (2019)A Security and Privacy Focused KYC Data Sharing Platform., , , , , and . BSCI, page 151-160. ACM, (2020)IPFS for Reduction of Chain Size in Ethereum., , , and . iThings/GreenCom/CPSCom/SmartData, page 1121-1128. IEEE, (2018)Know Your Model (KYM): Increasing Trust in AI and Machine Learning., , , and . CoRR, (2021)