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Now showing items 11-15 of 15
Cooperative Machine Learning Techniques for Cloud Intrusion Detection
(
IEEE
, 2021 , Conference Paper)
Cloud computing is attracting a lot of attention in the past few years. Although, even with its wide acceptance, cloud security is still one of the most essential concerns of cloud computing. Many systems have been proposed ...
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
(
IEEE
, 2021 , Conference Paper)
Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ...
Queue Discharge at Freeway On-Ramps Using Coordinated Operation of a Ramp Meter and an Upstream Traffic Signal
(
Elsevier
, 2020 , Conference Paper)
Ramp metering is an effective way of maintaining optimum traffic conditions and mitigating congestion on freeways. Several strategies for ramp metering exist in the literature. They are typically based on the freeway traffic ...
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
(
IEEE
, 2021 , Conference Paper)
COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ...
Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game Theory
(
IEEE
, 2023 , Conference Paper)
The Wireless Sensor Networks (WSN) are designed to remotely monitor and control specific physical or environmental conditions. However, due to the open nature of WSN, many threats and attacks may arise by malicious users ...