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 …
From corrective to predictive maintenance—A review of maintenance approaches for the power industry
Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …
and ensures the stability of production processes. In specific production sectors, such as the …
[HTML][HTML] An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications
Industry 4.0 requires a strong understanding of Cyber–Physical Systems (CPS). An Industry
4.0-enabled manufacturing environment that offers real-time data gathering, transparency …
4.0-enabled manufacturing environment that offers real-time data gathering, transparency …
Digital twin concepts with uncertainty for nuclear power applications
Digital Twins (DTs) are receiving considerable attention from multiple disciplines. Much of
the literature at this time is dedicated to the conceptualization of digital twins, and associated …
the literature at this time is dedicated to the conceptualization of digital twins, and associated …
[HTML][HTML] Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda
In this paper, we present a systematic literature review of the applications of Artificial
Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased …
Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased …
An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics
This paper proposes an approach that combines reduced-order models with machine
learning in order to create an digital twin to predict the power distribution over the core …
learning in order to create an digital twin to predict the power distribution over the core …
Renewable energy sector in Bangladesh: the current scenario, challenges and the role of IoT in building a smart distribution grid
Advancement in electricity is the key ingredient that can actively take part in alleviating
poverty and drastically improve the socio-economic status of the people of Bangladesh. The …
poverty and drastically improve the socio-economic status of the people of Bangladesh. The …
Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants
Nuclear power plants have proved their importance in the energy sector by generating clean
and uninterrupted energy over decades. Moreover, nuclear power plants (NPPs) are large …
and uninterrupted energy over decades. Moreover, nuclear power plants (NPPs) are large …
A smart sustainable decision support system for water management of power plants in water stress regions
Abstract Power Plants (PPs) is considered as critical facilities in each region because of
essential role through energy generation processes. These facilities are also depended to …
essential role through energy generation processes. These facilities are also depended to …
Parameter identification and state estimation for nuclear reactor operation digital twin
Abstract Reactor Operation Digital Twin (RODT) is now receiving increasing attention and
investment in nuclear engineering domain. A prototype of a RODT was first brought out by …
investment in nuclear engineering domain. A prototype of a RODT was first brought out by …