Quo vadis artificial intelligence?
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …
engineers for over 65 years. The simple contention is that human-created machines can do …
Machine learning and data mining in manufacturing
A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms
M Jalayer, C Orsenigo, C Vercellis - Computers in Industry, 2021 - Elsevier
Abstract Fault Detection and Diagnosis (FDD) of rotating machinery plays a key role in
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …
[HTML][HTML] A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes
Process monitoring technologies play a key role in maintaining the steady state of industrial
processes. However, with the increasing complexity of modern industrial processes …
processes. However, with the increasing complexity of modern industrial processes …
Deep learning for IoT big data and streaming analytics: A survey
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …
and/or generate various sensory data over time for a wide range of fields and applications …
A deep learning approach to network intrusion detection
Network intrusion detection systems (NIDSs) play a crucial role in defending computer
networks. However, there are concerns regarding the feasibility and sustainability of current …
networks. However, there are concerns regarding the feasibility and sustainability of current …
A review on fault detection and process diagnostics in industrial processes
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …
an effective indicator which can identify faulty status of a process and then to take a proper …
Convolutional neural network for wafer surface defect classification and the detection of unknown defect class
An automatic defect classification (ADC) system identifies and classifies wafer surface
defects using scanning electron microscope images. By classifying defects, manufacturers …
defects using scanning electron microscope images. By classifying defects, manufacturers …
Recent advances in sensor fault diagnosis: A review
As an essential component of data acquisition systems, sensors have been widely used,
especially in industrial and agricultural sectors. However, sensors are also prone to faults …
especially in industrial and agricultural sectors. However, sensors are also prone to faults …