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 Ortíz, 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 …

A case-based reasoning approach for solving schedule delay problems in prefabricated construction projects

L ** rapidly, injection molding is still
widely used for fabricating plastic parts with complex geometries and precise dimensions …

The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

L Ramirez-Lopez, T Behrens, K Schmidt, A Stevens… - Geoderma, 2013 - Elsevier
This paper shows that memory-based learning (MBL) is a very promising approach to deal
with complex soil visible and near infrared (vis–NIR) datasets. The main goal of this work …