Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

This survey paper provides a comprehensive analysis of big data algorithms in
recommendation systems, addressing the lack of depth and precision in existing literature. It …

Automated machine learning, often referred to as" AutoML," is the process of automating the
time-consuming and iterative procedures that are associated with the building of machine …

With the rapid development of the air transportation industry, the air traffic situation is
becoming more and more complicated. Determining the situation of air traffic is of great …

This research evaluated the environmental conditions that represent diverse types of
occupation in an urbanized rural area, compared microclimates, and described their …

Industrial processes are changing with each passing day, and the probability of failure is
also increasing, and accurate fault diagnosis is becoming extremely important. In this paper …

Indonesia is an agricultural country where most people work as farmers. As an agricultural
country, Indonesia produces staple foods, such as rice, corn, sago, and fruits. This research …

Abstract Autism Spectrum Disorder (ASD) is a spectrum of neurodevelopment impairments
that affects the nervous system and also affects individual's over all cognitive, emotional …

Machine Learning (ML) models are being deployed in numerous applications, ranging from
autonomous vehicles to robotics. However, the performance of these ML models is highly …

The extensive implementation of machine learning (ML) has transformed data analysis and
decision-making processes. However, the process of choosing suitable ML algorithms for a …