R
Ralph Deters
Researcher at University of Saskatchewan
Publications - 206
Citations - 4193
Ralph Deters is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Mobile computing & Mobile device. The author has an hindex of 28, co-authored 199 publications receiving 3252 citations. Previous affiliations of Ralph Deters include Bundeswehr University Munich & Pennsylvania State University.
Papers
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Proceedings ArticleDOI
Blockchain as a Service for IoT
Mayra Samaniego,Ralph Deters +1 more
TL;DR: The idea of using blockchain as a service for IoT is presented and the performance of a cloud and edge hosted blockchain implementation is evaluated.
Journal ArticleDOI
Security, Performance, and Applications of Smart Contracts: A Systematic Survey
Sara Rouhani,Ralph Deters +1 more
TL;DR: This paper systematically reviews the key concepts and proposes the direction of recent studies and developments regarding the smart contract and presents three main categories: 1) security methods and tools; 2) performance improvement approaches; and 3) decentralized applications based on smart contracts.
Posted Content
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
Sara Hosseinzadeh Kassani,Peyman Hosseinzadeh Kassasni,Michal J. Wesolowski,Kevin A. Schneider,Ralph Deters +4 more
TL;DR: This study compares popular deep learning-based feature extraction frameworks for automatic COVID-19 classification and found the DenseNet121 feature extractor with Bagging tree classifier achieved the best performance with 99% classification accuracy.
Proceedings ArticleDOI
Maximizing Cloud Providers' Revenues via Energy Aware Allocation Policies
TL;DR: In this paper, the authors address the problem of maximizing the revenues of cloud providers by trimming down their electricity costs and propose a solution allocation policy based on the dynamic powering servers on and off.
Posted Content
Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies
TL;DR: This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs by introducing policies based on the dynamic powering servers on and off, and shows that the proposed scheme performs well under different traffic conditions.