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Eleni Mangina
Eleni Mangina
Chair of Computer Science, VP(International) College of Science, University College Dublin
Verifisert e-postadresse på ucd.ie - Startside
Tittel
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Data-driven predictive control for unlocking building energy flexibility: A review
A Kathirgamanathan, M De Rosa, E Mangina, DP Finn
Renewable and Sustainable Energy Reviews 135, 110120, 2021
2802021
Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis
U Ali, MH Shamsi, C Hoare, E Mangina, J O’Donnell
Energy and buildings 246, 111073, 2021
2512021
UAV bridge inspection through evaluated 3D reconstructions
S Chen, DF Laefer, E Mangina, SMI Zolanvari, J Byrne
Journal of Bridge Engineering 24 (4), 05019001, 2019
2112019
The changing role of information technology in food and beverage logistics management: beverage network optimisation using intelligent agent technology
E Mangina, IP Vlachos
Journal of food engineering 70 (3), 403-420, 2005
1862005
A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making
U Ali, MH Shamsi, M Bohacek, K Purcell, C Hoare, E Mangina, ...
Applied Energy 279, 115834, 2020
1692020
Learning outcomes of immersive technologies in health care student education: systematic review of the literature
GV Ryan, S Callaghan, A Rafferty, MF Higgins, E Mangina, F McAuliffe
Journal of medical Internet research 24 (2), e30082, 2022
1572022
A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings
U Ali, MH Shamsi, M Bohacek, C Hoare, K Purcell, E Mangina, ...
Applied Energy 267, 114861, 2020
1172020
A data-driven approach for multi-scale building archetypes development
U Ali, MH Shamsi, C Hoare, E Mangina, J O’Donnell
Energy and buildings 202, 109364, 2019
1142019
Input variable selection for thermal load predictive models of commercial buildings
DS Kapetanakis, E Mangina, DP Finn
Energy and Buildings 137, 13-26, 2017
1112017
Forecast electricity demand in commercial building with machine learning models to enable demand response programs
F Pallonetto, C Jin, E Mangina
Energy and AI 7, 100121, 2022
1002022
State of technology review of civilian UAVs
S Chen, D F Laefer, E Mangina
Recent Patents on Engineering 10 (3), 160-174, 2016
972016
Fully automated breast density segmentation and classification using deep learning
N Saffari, HA Rashwan, M Abdel-Nasser, V Kumar Singh, M Arenas, ...
Diagnostics 10 (11), 988, 2020
902020
Current challenges and future research directions in augmented reality for education
MZ Iqbal, E Mangina, AG Campbell
Multimodal Technologies and Interaction 6 (9), 75, 2022
872022
A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems
A Bampoulas, M Saffari, F Pallonetto, E Mangina, DP Finn
Applied Energy 282, 116096, 2021
852021
A multi agent system for monitoring industrial gas turbine start-up sequences
EE Mangina, SDJ McArthur, JR McDonald, A Moyes
IEEE Transactions on Power Systems 16 (3), 396-401, 2001
662001
A review on augmented reality authoring toolkits for education
A Dengel, MZ Iqbal, S Grafe, E Mangina
Frontiers in Virtual Reality 3, 798032, 2022
652022
Review of software products for multi-agent systems
E Mangina
AgentLink, software report, 2002
632002
Exploring the effect of an augmented reality literacy programme for reading and spelling difficulties for children diagnosed with ADHD
C Tosto, T Hasegawa, E Mangina, A Chifari, R Treacy, G Merlo, ...
Virtual Reality 25, 879-894, 2021
612021
HMD-based virtual and augmented reality in medical education: a systematic review
X Xu, E Mangina, AG Campbell
Frontiers in Virtual Reality 2, 692103, 2021
612021
A framework for uncertainty quantification in building heat demand simulations using reduced-order grey-box energy models
MH Shamsi, U Ali, E Mangina, J O’Donnell
Applied Energy 275, 115141, 2020
612020
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Artikler 1–20