On hyperparameter optimization of machine learning algorithms: Theory and practice
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 …
areas. To fit a machine learning model into different problems, its hyper-parameters must be …
Machine learning towards intelligent systems: applications, challenges, and opportunities
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 …
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 …
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 …
classifying internet traffic. Innovative technologies have been developed for predicting and …
MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …
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
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
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
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 …
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
Cooperative Intelligent Transport System (C-ITS) is a promising technology that aims to
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
Intrusion detection in the automotive domain: A comprehensive review
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …
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
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 …
down the entire country for several weeks at a time. Employees belonging to different …