On hyperparameter optimization of machine learning algorithms: Theory and practice

L Yang, A Shami - Neurocomputing, 2020 - Elsevier
Abstract Machine learning algorithms have been used widely in various applications and
areas. To fit a machine learning model into different problems, its hyper-parameters must be …

MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles

L Yang, A Moubayed, A Shami - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …

[HTML][HTML] HDL-IDS: a hybrid deep learning architecture for intrusion detection in the Internet of Vehicles

S Ullah, MA Khan, J Ahmad, SS Jamal, Z e Huma… - Sensors, 2022 - mdpi.com
Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) network that
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …

IoT data analytics in dynamic environments: From an automated machine learning perspective

L Yang, A Shami - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …

[HTML][HTML] Visnet: Deep convolutional neural networks for forecasting atmospheric visibility

A Palvanov, YI Cho - Sensors, 2019 - mdpi.com
Visibility is a complex phenomenon inspired by emissions and air pollutants or by factors,
including sunlight, humidity, temperature, and time, which decrease the clarity of what is …

Multi-perspective content delivery networks security framework using optimized unsupervised anomaly detection

L Yang, A Moubayed, A Shami… - … on Network and …, 2021 - ieeexplore.ieee.org
Content delivery networks (CDNs) provide efficient content distribution over the Internet.
CDNs improve the connectivity and efficiency of global communications, but their caching …

Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis

L Yang, M El Rajab, A Shami… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Zero-Touch Networks (ZTNs) represent a state-of-the-art paradigm shift towards fully
automated and intelligent network management, enabling the automation and intelligence …

A lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization

Y Wang, G Qin, M Zou, Y Liang, G Wang… - Multimedia Tools and …, 2024 - Springer
With the rapid development of Internet of Vehicles (IoV) technology, Intelligent Connected
Vehicles (ICVs) have richer vehicle information functions and applications. In recent years …

Design of chaotic block cipher operation mode for intelligent transportation systems

G Thoms, R Muresan, A Al-Dweik - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Information security is a vital aspect of Intelligent Transportation Systems (ITS) involving
public data collection. Road images captured for use as a basis of traffic manipulation in ITS …

[HTML][HTML] RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm

SH Hwang, SK Park, SH Park, KW Kwon… - Journal of Marine Science …, 2023 - mdpi.com
A number of accidents at sea are primarily caused by low visibility due to sea fog. Therefore,
it is important to estimate sea fog intensity and visibility in real-time in the ocean …