Business analytics in Industry 4.0: A systematic review
Abstract Recently, the term “Industry 4.0” has emerged to characterize several Information
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …
Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
K Alexopoulos, N Nikolakis… - International Journal of …, 2020 - Taylor & Francis
Digital Twin (DT) implementations can contribute to smart manufacturing by integrating the
physical and the cyber space. Artificial Intelligence (AI) applications based on Machine …
physical and the cyber space. Artificial Intelligence (AI) applications based on Machine …
Advances and opportunities in machine learning for process data analytics
In this paper we introduce the current thrust of development in machine learning and
artificial intelligence, fueled by advances in statistical learning theory over the last 20 years …
artificial intelligence, fueled by advances in statistical learning theory over the last 20 years …
Data-centric process systems engineering: A push towards PSE 4.0
MS Reis, PM Saraiva - Computers & Chemical Engineering, 2021 - Elsevier
Abstract Process Systems Engineering (PSE) is now a mature field with a well-established
body of knowledge, computational-oriented frameworks and methodologies designed and …
body of knowledge, computational-oriented frameworks and methodologies designed and …
Investigation of transfer learning for image classification and impact on training sample size
Recent developments in deep learning have brought huge breakthroughs in the image
processing area, which triggered numerous successful applications and positively impacted …
processing area, which triggered numerous successful applications and positively impacted …
Towards artificial intelligence at scale in the chemical industry
Abstract In the Industry 4.0 era, the chemical industry is embracing broad adoption of
artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic …
artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic …
Optimal scheduling of flexible manufacturing system using improved lion-based hybrid machine learning approach
Dispatching rules are generally useful for scheduling jobs in flexible manufacturing systems
(FMSs). However, the appropriateness of these rules relies heavily on the condition of the …
(FMSs). However, the appropriateness of these rules relies heavily on the condition of the …
A dual modality approach for (zero-shot) multi-label classification
In computer vision, multi-label classification, including zero-shot multi-label classification are
important tasks with many real-world applications. In this paper, we propose a novel …
important tasks with many real-world applications. In this paper, we propose a novel …
Artificial intelligence in manufacturing equipment, automation, and robots
G Chryssolouris, K Alexopoulos, Z Arkouli - A Perspective on Artificial …, 2023 - Springer
The machines that perform manufacturing processes are the embodiment of these
processes. This chapter discusses AI topics related to manufacturing equipment …
processes. This chapter discusses AI topics related to manufacturing equipment …
Semi-automatic detection and segmentation of wooden pellet size exploiting a deep learning approach
R Pierdicca, M Balestra, G Micheletti, A Felicetti… - Renewable Energy, 2022 - Elsevier
The production of wood pellets was born as a response to the need to manage the residual
sawdust of wood processing. Nowadays, the standard UNE EN ISO 17225-2: 2021 …
sawdust of wood processing. Nowadays, the standard UNE EN ISO 17225-2: 2021 …