Fire detection is crucial in the protection of human life and property. Traditional
methodologies and deep learning techniques have been extensively employed in this area …

We present a deep learning (DL) pipeline developed for the detection and characterization
of astronomical sources within simulated Atacama Large Millimeter/submillimeter Array …

Artificial intelligence methods are indispensable to identifying pulsars from large amounts of
candidates. We develop a new pulsar identification system that utilizes the CoAtNet to score …

As radio telescope technology continues to advance, the discovery of more pulsar
candidates is anticipated. The swift and accurate identification of pulsars has emerged as a …

To support the sustainable development of photovoltaic (PV) projects in the context of the
carbon neutrality aim, a scientific and reliable evaluation technique is crucial. In this …

In the field of astronomy, machine-learning technologies are becoming increasingly crucial
for identifying radio pulsars. However, the process of acquiring labeled data, which is both …

A distribution network plays an extremely important role in the safe and efficient operation of
a power grid. As the core part of a power grid's operation, a distribution network will have a …

With the development of radio telescope technology, the quantity and types of acquired
pulsar candidate data have increased dramatically. However, it is difficult to accurately …

This study investigates the usefulness of the Synthetic Minority Oversampling Technique
(SMOTE) in conjunction with convolutional neural network (CNN) models, which include …

The use of artificial intelligence, more specifically of algorithms based on modern machine
learning and neural networks, has recently seen accelerated use in astronomy. At the very …