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Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM
(
Elsevier
, 2022 , Article)
Transport of fine particles in porous media has attracted a considerable interest over the past several decades given its importance to many industrial and natural processes. In order to control fine particles transport ...
Multi-descriptor random sampling for patch-based face recognition
(
MDPI AG
, 2021 , Article)
While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life. This paper focuses on the inherently present issue of partial occlusion ...
RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos
(
Elsevier
, 2020 , Article)
© 2020 Elsevier B.V. With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have ...
Feature fusion based on joint sparse representations and wavelets for multiview classification
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ...
A secure cloud system for maintaining COVID-19 patient's data using image steganography
(
Hamad bin Khalifa University Press (HBKU Press)
, 2021 , Article)
The COVID-19 pandemic has been life-threatening for many people and as such, a contactless medical system is necessary to prevent the spread of the virus. Smart healthcare systems collect data from patients at one end and ...
5G vehicular network resource management for improving radio access through machine learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
A survey of cyber-physical attacks and detection methods in smart water distribution systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Modern technologies empower water distribution systems (WDS) for better services in the processes of water supply, storage, distribution, and recycling. They improve real-time monitoring, automating, and managing. However, ...
High-Precision Nonenzymatic Electrochemical Glucose Sensing Based on CNTs/CuO Nanocomposite
(
Springer
, 2022 , Article)
The measurement of blood glucose levels is essential for diagnosing and managing diabetes. Enzymatic and nonenzymatic approaches using electrochemical biosensors are used to measure serum or plasma glucose accurately. ...
Smart Cities from the Perspective of Systems
(
MDPI
, 2022 , Article)
Modern cities are complex adaptive systems in which there is a lot of dependency and interaction between the various stakeholders, components, and subsystems. The use of digital Information and Communications Technology ...