Accurate weather classification is essential in numerous real-world applications, significantly
impacting areas such as solar energy systems, outdoor events, and visual systems. For …

In order to accelerate development, testing and verification of automated vehicles, it is
crucial to classify a wide range of driving scenarios. Scenario classification is usually done …

Remote sensing image scene classification has attracted great attention because of its wide
applications. Although convolutional neural network (CNN)-based methods for scene …

Machine learning (ML) is nowadays embedded in several computing devices, consumer
electronics, and cyber-physical systems. Smart sensors are deployed everywhere, in …

With the development of smart power grids, communication network technology and sensor
technology, there has been an exponential growth in complex electricity load data. Irregular …

Hierarchical reinforcement learning has focused on discovering temporally extended
actions, such as options, that can provide benefits in problems requiring extensive …

Deep Learning (DL) is increasingly empowering technology and engineering in a plethora
of ways, especially when big data processing is a core requirement. Many challenges …

With the help of 5G network, edge intelligence (EI) can not only provide distributed, low-
latency, and high-reliable intelligent services, but also enable intelligent maintenance and …

For remote sensing image scene classification tasks, the classification accuracy of the small-
scale deep neural network tends to be low and fails to achieve accuracy in real-world …

Deep Neural Networks (DNNs) are widely used to solve a growing number of tasks, such as
image classification. However, their deployment at resource-constrained devices still poses …