Attention Mechanism has become very popular in the field of mechanical fault diagnosis in
recent years and has become an important technique for scholars to study and apply. The …

注意力机制因其优秀的效果与即插即用的便利性, 在深度学习任务中得到了越来越广泛的应用.
主要着眼于卷积神经网络, 对卷积网络注意力机制发展过程中的各种主流方法进行介绍 …

Image semantic segmentation is a technique that distinguishes different kinds of things in an
image by assigning a label to each point in a target category based on its" semantics". The …

In recent years, in the field of Multi-Agent Systems (MAS), significant progress has been
made in the research of algorithms that combine Reinforcement Learning (RL) with Attention …

The current satellite network traffic forecasting methods cannot fully exploit the long
correlation between satellite traffic sequences, which leads to large network traffic …

The accurate classification of flower images is the prerequisite for flower plant management
to artificial intelligence, how to use the machine to classify flowers automatically is the …

Existing text sentiment analysis methods mostly rely on a large number of language
knowledge and sentiment resources. This paper proposes the Multi-channel convolution …

With the increasing interest in space science exploration, the number of spacecraft in Earth's
orbit has been steadily increasing. To ensure the safety and operational integrity of active …

探讨注意力机制如何帮助推荐模型动态关注有助于执行当前推荐任务输入的特定部分.
分析注意力机制网络框架及其输入数据的权重计算方法, 分别从标准注意力机制 …

The precise forecasting of photovoltaic (PV) power is important for efficient grid
management. To enhance the analysis and processing capability of PV characteristics …