Cloud-enabled prognosis for manufacturing

R Gao, L Wang, R Teti, D Dornfeld, S Kumara, M Mori… - CIRP annals, 2015 - Elsevier
Advanced manufacturing depends on the timely acquisition, distribution, and utilization of
information from machines and processes across spatial boundaries. These activities can …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

JM Górriz, J Ramírez, A Ortiz, FJ Martinez-Murcia… - Neurocomputing, 2020 - Elsevier
Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

A knowledge-based risk management tool for construction projects using case-based reasoning

O Okudan, C Budayan, I Dikmen - Expert Systems with Applications, 2021 - Elsevier
Construction projects are often deemed as complex and high-risk endeavours, mostly
because of their vulnerability to external conditions as well as project-related uncertainties …

[图书][B] Intelligent systems for engineers and scientists: a practical guide to artificial intelligence

AA Hopgood - 2021 - taylorfrancis.com
The fourth edition of this bestselling textbook explains the principles of artificial intelligence
(AI) and its practical applications. Using clear and concise language, it provides a solid …

Injection molding manufacturing process: Review of case-based reasoning applications

MR Khosravani, S Nasiri - Journal of Intelligent Manufacturing, 2020 - Springer
Although manufacturing technology has been developing rapidly, injection molding is still
widely used for fabricating plastic parts with complex geometries and precise dimensions …

Retrieving similar cases for construction project risk management using Natural Language Processing techniques

Y Zou, A Kiviniemi, SW Jones - Automation in construction, 2017 - Elsevier
Case-based reasoning (CBR) is an important approach in construction project risk
management. It emphasises that previous knowledge and experience of accidents and risks …

How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin …

MT Keane, EM Kenny - … 2019, Otzenhausen, Germany, September 8–12 …, 2019 - Springer
This paper proposes a theoretical analysis of one approach to the eXplainable AI (XAI)
problem, using post-hoc explanation-by-example, that relies on the twinning of artificial …

Dynamic and aggressive scheduling techniques for power-aware real-time systems

H Aydin, R Melhem, D Mossé… - … 22nd IEEE Real-Time …, 2001 - ieeexplore.ieee.org
In this paper we address power-aware scheduling of periodic hard real-time tasks using
dynamic voltage scaling. Our solution includes three parts:(a) a static (off-line) solution to …

Twin-systems to explain artificial neural networks using case-based reasoning: Comparative tests of feature-weighting methods in ANN-CBR twins for XAI

EM Kenny, MT Keane - Kraus, S.(ed.). Proceedings of the …, 2019 - researchrepository.ucd.ie
In this paper, twin-systems are described to address the eXplainable artificial intelligence
(XAI) problem, where a black box model is mapped to a white box “twin” that is more …