Recommendation systems are one of the main applications of machine learning (ML) used
across different industries. This paper presents a new automated machine learning …

In recent years, with the continuous development of science and Internet technology,
people's lifestyles are changing dramatically, especially with the development of information …

In order to combine multimedia imagery and multispectral remote sensing data to analyze
information, preprocessing becomes a necessary part of it. It is found that the KNN algorithm …

A wealth of data are available within the health care system, however, effective analysis
tools for exploring the hidden patterns in these datasets are lacking. To alleviate this …

Recommender systems are information filtering system that overcomes excess data
problems by filtering fragments of important information from massive amount of information …

Fake information in social media frequently causes social issues. The amount of fake
information is smaller than that of real information, this leads to class imbalance. Some …

With the advent of the new media era, we face the problem of information overload every
day, based on which this paper proposes a scenario-conscious clustering algorithm for …

This study integrates multi-effect distillation (MED), multi-stage flash (MSF) evaporation, and
solar interface evaporation technologies to enhance water purification processes. We …