Featured Application Nowadays, many applications and disciplines work on the basis of
stream data. Common examples are the IoT sector (eg, sensor data analysis), or video …

The visual perception of landscape spaces between residences in cold regions is important
for public health. To compensate for the existing research ignoring the cold snow season's …

A pothole is the most prevalent sort of road issue that must be assessed before repairs can
be carried out. Along with the regular wear and tear of vehicles, it is a major factor in traffic …

To gain a more comprehensive and systematic understanding of the impact of government
assistance to poor households on poverty reduction targets, a targeted poverty alleviation …

In order to study the big data intelligent analysis and processing technology based on
clustering algorithm, an attribute category clustering method based on hierarchical …

A variety of huge data is being produced at an incredibly high speed in different sectors. Due
to the large location of computing devices, the large volume of information is increasingly …

This article proposes an artificial intelligence-empowered and efficient detection approach
for customers with Severe Failure in Digital Transactions (SFDT) through a deep transfer …

Text stream classification is the task of assigning labels to a sequence of text data as it
arrives in real time. This is a challenging task because the data is often incomplete and …

Datastreams serve as the fundamental conduits of information in contemporary society,
playing a pivotal role in various aspects of our daily lives. This paper delves into the …

The procedure of categorizing images from remote sensing is also another application of
machine learning not just ground-based platforms (for instance satellites), aerial platforms …