An extended AI-experience: Industry 5.0 in creative product innovation

A Grech, J Mehnen, A Wodehouse - Sensors, 2023 - mdpi.com
Creativity plays a significant role in competitive product ideation. With the increasing
emergence of Virtual Reality (VR) and Artificial Intelligence (AI) technologies, the link …

Industrial Informatics: Emerging Trends and Applications in the Era of Big Data and AI

M Pejić Bach, A Ivec, D Hrman - Electronics, 2023 - mdpi.com
Industrial informatics is a rapidly developing scientific field that deals with the knowledge-
based automation of industrial design and manufacturing processes. In the last decade …

A mental health chatbot with cognitive skills for personalised behavioural activation and remote health monitoring

P Rathnayaka, N Mills, D Burnett, D De Silva… - Sensors, 2022 - mdpi.com
Mental health issues are at the forefront of healthcare challenges facing contemporary
human society. These issues are most prevalent among working-age people, impacting …

[HTML][HTML] Prediction of flyrock distance induced by mine blasting using a novel Harris Hawks optimization-based multi-layer perceptron neural network

BR Murlidhar, H Nguyen, J Rostami, XN Bui… - Journal of Rock …, 2021 - Elsevier
In mining or construction projects, for exploitation of hard rock with high strength properties,
blasting is frequently applied to breaking or moving them using high explosive energy …

[PDF][PDF] An artificial intelligence life cycle: From conception to production

D De Silva, D Alahakoon - Patterns, 2022 - cell.com
This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …

[HTML][HTML] OpenTwins: An open-source framework for the development of next-gen compositional digital twins

J Robles, C Martín, M Díaz - Computers in Industry, 2023 - Elsevier
Although digital twins have recently emerged as a clear alternative for reliable asset
representations, most of the solutions and tools available for the development of digital twins …

Self-building artificial intelligence and machine learning to empower big data analytics in smart cities

D Alahakoon, R Nawaratne, Y Xu, D De Silva… - Information Systems …, 2023 - Springer
The emerging information revolution makes it necessary to manage vast amounts of
unstructured data rapidly. As the world is increasingly populated by IoT devices and sensors …

[HTML][HTML] Decision support system in health care building design based on case-based reasoning and reinforcement learning

JI Guerrero, G Miró-Amarante, A Martín - Expert Systems with Applications, 2022 - Elsevier
The health care building designing is a very difficult process in which there are a great
quantity of parameters and variables that it is necessary to consider. The health care …

Physical model informed fault detection and diagnosis of air handling units based on transformer generative adversarial network

K Yan, X Chen, X Zhou, Z Yan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Physics theory integrated machine learning models enhance the interpretability and
performance of artificial intelligence (AI) techniques to real-world industrial applications …

A new false data injection attack detection model for cyberattack resilient energy forecasting

A Ahmadi, M Nabipour, S Taheri… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As power systems are gradually evolving into more efficient and intelligent cyber–physical
energy systems with the large-scale penetration of renewable energies and information …