Applications of machine learning to BIM: A systematic literature review

A Zabin, VA González, Y Zou, R Amor - Advanced Engineering Informatics, 2022 - Elsevier
Abstract As Building Information Modeling (BIM) workflows are becoming very relevant for
the different stages of the project's lifecycle, more data is produced and managed across it …

A comprehensive survey of data mining

MK Gupta, P Chandra - International Journal of Information Technology, 2020 - Springer
Data mining plays an important role in various human activities because it extracts the
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …

Data science for building energy management: A review

M Molina-Solana, M Ros, MD Ruiz… - … and Sustainable Energy …, 2017 - Elsevier
The energy consumption of residential and commercial buildings has risen steadily in recent
years, an increase largely due to their HVAC systems. Expected energy loads …

Fuzzy pattern tree for edge malware detection and categorization in IoT

EM Dovom, A Azmoodeh, A Dehghantanha… - Journal of Systems …, 2019 - Elsevier
The surging pace of Internet of Things (IoT) development and its applications has resulted in
significantly large amounts of data (commonly known as big data) being communicated and …

[图书][B] Computational intelligence

R Kruse, C Borgelt, C Braune, S Mostaghim… - 2011 - Springer
Computational Intelligence comprises concepts, paradigms, algorithms, and
implementations of systems that are supposed to exhibit intelligent behavior in complex …

FURIA: an algorithm for unordered fuzzy rule induction

J Hühn, E Hüllermeier - Data Mining and Knowledge Discovery, 2009 - Springer
This paper introduces a novel fuzzy rule-based classification method called FURIA, which is
short for Fuzzy Unordered Rule Induction Algorithm. FURIA extends the well-known RIPPER …

Multiobjective evolutionary algorithms for electric power dispatch problem

MA Abido - IEEE transactions on evolutionary computation, 2006 - ieeexplore.ieee.org
The potential and effectiveness of the newly developed Pareto-based multiobjective
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …

Genetic fuzzy systems: taxonomy, current research trends and prospects

F Herrera - Evolutionary Intelligence, 2008 - Springer
The use of genetic algorithms for designing fuzzy systems provides them with the learning
and adaptation capabilities and is called genetic fuzzy systems (GFSs). This topic has …

Metabolomics and multi-omics integration: a survey of computational methods and resources

T Eicher, G Kinnebrew, A Patt, K Spencer, K Ying, Q Ma… - Metabolites, 2020 - mdpi.com
As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …

Interpretability of fuzzy systems: Current research trends and prospects

JM Alonso, C Castiello, C Mencar - Springer handbook of computational …, 2015 - Springer
Fuzzy systems are universally acknowledged as valuable tools to model complex
phenomena while preserving a readable form of knowledge representation. The resort to …