The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

The widespread use of mobile devices, as well as the increasing popularity of mobile
services has raised serious cybersecurity challenges. In the last years, the number of …

Catastrophic forgetting is a problem of neural networks that loses the information of the first
task after training the second task. Here, we propose a method, ie incremental moment …

Deep Neural Networks (DNNs) are typically trained by backpropagation in a batch learning
setting, which requires the entire training data to be made available prior to the learning …

Recent years have witnessed growing interests in developing deep models for incremental
learning. However, existing approaches often utilize the fixed structure and online …

Due to advancements in data collection, storage, and processing techniques, machine
learning has become a thriving and dominant paradigm. However, one of its main …

Smart Bins have become popular in smart cities and campuses around the world. These
bins have a compaction mechanism that increases the bins' capacity as well as automated …

In modern society, the demand for radio spectrum resources is increasing. As the
information carriers of wireless transmission data, radio signals exhibit the characteristics of …

Most existing approaches often utilize the pre-fixed structure and large number of labeled
data for training complex deep models, which are difficult to implement on incremental …

Recent years have witnessed growing interests in online incremental learning. However,
there are three major challenges in this area. The first major difficulty is concept drift, that is …