Unsupervised continual learning remains a relatively uncharted territory...
The common practice of quality monitoring in industry relies on manual
i...
Learning from streaming tasks leads a model to catastrophically erase un...
The large-scale data stream problem refers to high-speed information flo...
The feasibility of existing data stream algorithms is often hindered by ...
Localization can be achieved by different sensors and techniques such as...
The Denoising Autoencoder (DAE) enhances the flexibility of the data str...
Autonomous construction of deep neural network (DNNs) is desired for dat...
Transferring knowledge across many streaming processes remains an unchar...
Being motivated by ceiling inspection applications via unmanned aerial
v...
The expectation of unmanned air vehicles (UAVs) pushes the operation
env...
With the recent developments in the unmanned aerial vehicles (UAV), it i...
There exists an increasing demand of a flexible and computationally effi...
The feasibility of deep neural networks (DNNs) to address data stream
pr...
The generative learning phase of Autoencoder (AE) and its successor Deno...
Existing fuzzy neural networks (FNNs) are mostly developed under a shall...
The concept of stochastic configuration networks (SCNs) others a solid
f...
Many distributed machine learning frameworks have recently been built to...
Controlling of a flapping flight is one of the recent research topics re...
Radio Frequency Identification technology has gained popularity for chea...
Data stream has been the underlying challenge in the age of big data bec...
Nowadays, the application of fully autonomous system like rotary wing
un...
RFID technology has gained popularity to address localization problem in...
In recent years, the utilization of rotating parts, e.g. bearings and ge...
Products reviews are one of the major resources to determine the public
...
As manufacturing processes become increasingly automated, so should tool...
The concept of evolving intelligent system (EIS) provides an effective a...
The theory of random vector functional link network (RVFLN) has provided...
In this paper, a high-speed online neural network classifier based on ex...
In this paper, a novel extreme learning machine based online multi-label...