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A framework for modelling blockchain based supply chain management system to ensure soundness of smart contract workflow
(
IEEE Computer Society
, 2021 , Conference Paper)
We propose a smart contract workflow verification framework for blockchain-based supply chain management systems. The proposed framework introduces a Petri-Net-based formalism to model smart contract workflow in a supply-chain ...
Integration of business applications with the blockchain: Odoo and hyperledger fabric open source proof of concept
(
Elsevier
, 2021 , Conference Paper)
Since its revolution in the financial sector, the blockchain technology disrupted the majority of collaboration-based applications including supply chain management. The supply chain is one of the most important sectors ...
Game Theoretical Model for Cybersecurity Risk Assessment of Industrial Control Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Supervisory Control and Data Acquisition (SCADA) and Distributed Control Systems (DCS) use advanced computing, sensors, control systems, and communication networks to monitor and control industrial processes and distributed ...
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE Computer Society
, 2021 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ...
A cost-effective 3d acquisition and visualization framework for cultural heritage
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ...
MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems
(
IEEE
, 2021 , Conference Paper)
The Internet of Medical Things (IoMT) couples the rapid growth of Internet of things (IoT) technologies with smart health systems, leveraging wireless battery-operated devices for remote health monitoring. Since 2019, a ...
The Use of Elaboration Likelihood Model in eWOM Research: Literature Review and Weight-Analysis
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
With the development of Internet and e-commerce, traditional word of mouth communications have evolved into electronic word of mouth (eWOM) communications, which significantly affect consumers in their decision-making ...
A Mechanistic Model for Wellbore Cleanout in Horizontal and Inclined Wells
(
Society of Petroleum Engineers (SPE)
, 2021 , Conference Paper)
The accumulation of rock cuttings, proppant, and other solid debris in the wellbore caused by inadequate cleanout remarkably impedes field operations. The cuttings removal process becomes a more challenging task as the ...
SELF-ORGANIZED RESIDUAL BLOCKS FOR IMAGE SUPER-RESOLUTION
(
IEEE Computer Society
, 2021 , Conference Paper)
It has become a standard practice to use the convolutional networks (ConvNet) with RELU non-linearity in image restoration and super-resolution (SR). Although the universal approximation theorem states that a multi-layer ...
SELF-ORGANIZED VARIATIONAL AUTOENCODERS (SELF-VAE) FOR LEARNED IMAGE COMPRESSION
(
IEEE Computer Society
, 2021 , Conference Paper)
In end-to-end optimized learned image compression, it is standard practice to use a convolutional variational autoencoder with generalized divisive normalization (GDN) to transform images into a latent space. Recently, ...