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 …
A review on soft sensors for monitoring, control, and optimization of industrial processes
Over the past twenty years, numerous research outcomes have been published, related to
the design and implementation of soft sensors. In modern industrial processes, various types …
the design and implementation of soft sensors. In modern industrial processes, various types …
A survey on evolutionary computation for complex continuous optimization
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …
development of the economy and society. Moreover, the technologies like Internet of things …
Circular digital built environment: An emerging framework
Digital technologies are considered to be an essential enabler of the circular economy in
various industries. However, to date, very few studies have investigated which digital …
various industries. However, to date, very few studies have investigated which digital …
[HTML][HTML] Scanning the industry 4.0: A literature review on technologies for manufacturing systems
V Alcácer, V Cruz-Machado - Engineering science and technology, an …, 2019 - Elsevier
Industry 4.0 leads to the digitalization era. Everything is digital; business models,
environments, production systems, machines, operators, products and services. It's all …
environments, production systems, machines, operators, products and services. It's all …
When Gaussian process meets big data: A review of scalable GPs
The vast quantity of information brought by big data as well as the evolving computer
hardware encourages success stories in the machine learning community. In the …
hardware encourages success stories in the machine learning community. In the …
Data-driven smart manufacturing
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
[HTML][HTML] Social media analytics–Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …
day lives, social media data is being analysed in many different disciplines. The social …
A new deep transfer learning based on sparse auto-encoder for fault diagnosis
Fault diagnosis plays an important role in modern industry. With the development of smart
manufacturing, the data-driven fault diagnosis becomes hot. However, traditional methods …
manufacturing, the data-driven fault diagnosis becomes hot. However, traditional methods …
A tutorial review of neural network modeling approaches for model predictive control
An overview of the recent developments of time-series neural network modeling is
presented along with its use in model predictive control (MPC). A tutorial on the construction …
presented along with its use in model predictive control (MPC). A tutorial on the construction …