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The Implementation of A Crop Diseases APP Based on Deep Transfer Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Classifying the severity of crop diseases is the staple-basic element of the plant pathology for making disease prevent and control strategies. The diagnosis of disease needs timeliness and accuracy. Thanks to the development ...
Deep learning based identification of DDoS attacks in industrial application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Denial of Service (DoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets dropping them before passing through is the best prevention ...
Formalizing dynamic behaviors of smart contract workflow in smart healthcare supply chain
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
We present a formal model for smart contract workflow using Colored Petri-Net in the context of a blockchain-based healthcare supply chain in this paper. Ensuring traceability of products is a crucial issue in a smart ...
Multiview topological data analysis for crowdsourced service supply-demand gap prediction
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The widespread of smart devices equipped with high sensing capabilities opened the door to the new paradigm of mobile crowdsourcing. This paradigm relies on the crowd contribution and participation to collect data and ...
Crowd Counting: A Survey of Machine Learning Approaches
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Crowd counting is applied in many areas including efficient resources allocation and effective management of emergency situations. In this paper, we survey and compare various crowd counting methods. Additionally, we ...
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 ...
Numerical study on the damping characteristics of a shock absorber valve utilizing different velocities through CFD analysis
(
National Technical University of Athens
, 2021 , Conference Paper)
Shock absorbers or hydraulic dampers are power dissipating devices. The fluid flow inside the damper is governed by predefined passages. The damping effect is accomplished by the resistance of oil to flow through the ...