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 …

Machine learning towards intelligent systems: applications, challenges, and opportunities

MN Injadat, A Moubayed, AB Nassif… - Artificial Intelligence …, 2021 - Springer
The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …

Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results

DM Belete, MD Huchaiah - International Journal of Computers and …, 2022 - Taylor & Francis
In this work, we propose hyperparameters optimization using grid search to optimize the
parameters of eight existing models and apply the best parameters to predict the outcomes …

Intelligent transportation system for internet of vehicles based vehicular networks for smart cities

P Rani, R Sharma - Computers and Electrical Engineering, 2023 - Elsevier
A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …

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 …

Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems

J Ashraf, AD Bakhshi, N Moustafa… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …

Multi-stage optimized machine learning framework for network intrusion detection

MN Injadat, A Moubayed, AB Nassif… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …

A privacy-preserving-based secure framework using blockchain-enabled deep-learning in cooperative intelligent transport system

R Kumar, P Kumar, R Tripathi, GP Gupta… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Cooperative Intelligent Transport System (C-ITS) is a promising technology that aims to
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …

Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

The world with future technologies (Post-COVID-19): open issues, challenges, and the road ahead

AVS Madhav, AK Tyagi - Intelligent Interactive Multimedia Systems for e …, 2022 - Springer
Over the past few months, we faced a serious pandemic throughout the world that shuts
down the entire country for several weeks at a time. Employees belonging to different …