Machine Learning Techniques in the Energy Consumption of Buildings: A Systematic Literature Review Using Text Mining and Bibliometric Analysis
2021 · Energies · 26 citations
https://doi.org/10.3390/en14227810
M
Miguel Sales Dias
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Miguel Sales Dias is an academic researcher from Iscte – Instituto Universitário de Lisboa. The author has contributed to research in topics: Speech and dialogue systems & Augmented Reality Applications & Speech Recognition and Synthesis. The author has an h-index of 20, co-authored 186 publications.
ORCID: 0000-0002-1445-2695Papers by this author
worksMultimodal user interfaces to improve social integration of elderly and mobility impaired.
2012 · PubMed · 13 citations
The impact of sound in people's behaviour in outdoor settings: A study using virtual reality and eye-tracking
2023 · Applied Ergonomics · 13 citations
https://doi.org/10.1016/j.apergo.2022.103957
Bike-sharing mobility patterns: a data-driven analysis for the city of Lisbon
2018 · EAI Endorsed Transactions on Smart Cities · 12 citations
https://doi.org/10.4108/eai.4-5-2021.169580
Enhancing the Visitor Experience with Immersive Technologies and Gaming: The Monserrate Use Case
2025 · 2 citations
https://doi.org/10.1007/978-3-031-75887-4_13
An explainable deep learning model for energy performance classification and retrofitting recommendations
2025 · Energy and Buildings · 2 citations
https://doi.org/10.1016/j.enbuild.2025.116522
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