Deep learning technology has been extensively studied for its potential in music, notably for
creative music generation research. Traditional music generation approaches based on …

Filter pruning can effectively reduce the time cost and computing resources of convolutional
neural networks (CNNs), and is well applied to lightweight edge devices. However, most of …

The broad learning system (BLS) is a versatile and effective tool for analyzing tabular data.
However, the rapid expansion of big data has resulted in an overwhelming amount of …

Existing salient object detection networks are large, have many parameters, are bulky and
take up a lot of computational resources. Seriously hinder its application and promotion in …

In reverse dictionary (RD) research, the goal is to construct the components of a target word
vector through the parsing of human-comprehensible definitions. This process emulates the …

Buildings that are constructed without the necessary permits and building inspections affect
many areas, including safety, health, the environment, social order, and the economy. For …

A high-frequency surface wave radar (HFSWR) is an effective tool for monitoring an
exclusive economic zone (EEZ). However, the presence of diverse clutters and noises that …

While continual learning has shown its impressive performance in addressing catastrophic
forgetting of traditional neural networks and enabling them to learn multiple tasks …

The conceptual framework of cognitive networks, or cognits, represents a system of working
memory, especially long-term memory arrays that are intrinsically designed to attain certain …