Abstract AutoML (Automated Machine Learning) is an emerging field that aims to automate
the process of building machine learning models. AutoML emerged to increase productivity …

With affordable and clean energy being one of the Sustainable Development Goals (SDG7),
most develo** economies are still caught up with the dilemma of inadequate power …

Accurate short-term freeway speed prediction is a key component for intelligent
transportation management and can help travelers plan travel routes. However, very few …

A wormhole attack is a type of attack on the network layer that reflects routing protocols. The
classification is performed with several methods of machine learning consisting of K‐nearest …

Breast cancer is one of the main causes of death among women worldwide. Early detection
of this disease helps reduce the number of premature deaths. This research aims to design …

The vehicular ad hoc networks (VANETs) are an example of mobile networks, which utilizes
dedicated short‐range communication (DSRC) to establish a wireless connection between …

Efficient traffic management poses a significant challenge in smart cities, requiring the
integration of diverse approaches. This paper presents an artificial intelligence framework …

Energy usage and GDP have been the subject of numerous studies over the past decades. It
has been overlooked by previous studies that energy consumption correlates with economic …

There is a wide variety of effects of Alzheimer's disease (AD), a neurodegenerative disease
that can lead to cognitive decline, deterioration of daily life, and behavioral and …

With the development of intelligent transportation technology, road travel time prediction has
become an important research direction. Owing to the complex periodic dependence and …