Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

Wearing a hard hat can effectively improve the safety of workers on a construction site.
However, workers often take off their helmets because they have a weak sense of safety and …

This comment reviews the “once learning” mechanism (OLM) that was proposed by
Weigang (1998), the subsequent success of “one-shot learning” in object categories (Li FF …

The objects in UAV aerial images have multiple scales, dense distribution, and occlusion,
posing considerable challenges for object detection. In order to address this problem, this …

Aircraft identification has been a research hotspot in remote-sensing fields. However, due to
the presence of clouds in satellite-borne optical imagery, it is difficult to identify aircraft using …

Object detection is an essential capacity of computer vision solutions. It has gained attention
over the last years by using a core component of the “Once learning” and “Few-shot …

While large language models (LLMs) have made significant strides in natural language
processing (NLP), they continue to face challenges in adequately addressing the intricacies …

With the development of quantum computing, the application of quantum neural networks
will be more and more extensive, and its security will also face more challenges. Although …

The objective of this research is to construct parallel models that simulate the behavior of
artificial neural networks. The type of network that is simulated in this project is the …

Systematic Literature Review (SLR) studies aim to leverage relevant insights from scientific
publications to achieve a comprehensive overview of the academic progress of a specific …