Machine learning: Algorithms, real-world applications and research directions
IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …
Artificial intelligence applications for industry 4.0: A literature-based study
Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries
are focusing on improving product consistency, productivity and reducing operating costs …
are focusing on improving product consistency, productivity and reducing operating costs …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Automation and manufacturing of smart materials in Additive Manufacturing technologies using Internet of Things towards the adoption of Industry 4.0
Mass customization and personalization are the significant implications of Industry 4.0. Even
though additive manufacturing (AM) technologies possess the capability to personalize final …
though additive manufacturing (AM) technologies possess the capability to personalize final …
Explore success factors that impact artificial intelligence adoption on telecom industry in China
As the core driving force of the new round of informatization development and industrial
revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and …
revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and …
Forecasting renewable energy generation with machine learning and deep learning: Current advances and future prospects
This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …
renewable energy generation using machine learning (ML) and deep learning (DL) …
A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
ND Kathamuthu, S Subramaniam, QH Le… - … in Engineering Software, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) has become a critical and extreme epidemic because
of its international dissemination. COVID-19 is the world's most serious health, economic …
of its international dissemination. COVID-19 is the world's most serious health, economic …
Improving material quality management and manufacturing organizations system through Industry 4.0 technologies
In these changing times, Industry 4.0 technologies are being adopted in many parts of the
world. These technologies are used to develop smart materials, smart factories, smart …
world. These technologies are used to develop smart materials, smart factories, smart …
Role of Internet of Things (IoT) in adoption of Industry 4.0
Internet of Things (IoT) is a critical component of Industry 4.0. It has extensive applications in
the monitoring of production systems in manufacturing and services. This technology opens …
the monitoring of production systems in manufacturing and services. This technology opens …
Data science applications for predictive maintenance and materials science in context to Industry 4.0
With the revolutionising of the industry to the next generations, machines have become more
complicated. If they are not put to regular maintenance then there is more breakdown and …
complicated. If they are not put to regular maintenance then there is more breakdown and …