Eleni Mangina
Eleni Mangina
VP(International) College of Science, Professor of Computer Science, University College Dublin
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Cited by
Cited by
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
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
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
Input variable selection for thermal load predictive models of commercial buildings
DS Kapetanakis, E Mangina, DP Finn
Energy and Buildings 137, 13-26, 2017
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
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
State of technology review of civilian UAVs
S Chen, D F Laefer, E Mangina
Recent Patents on Engineering 10 (3), 160-174, 2016
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
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
Review of software products for multi-agent systems
E Mangina
AgentLink, software report, 2002
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
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
Future mixed reality educational spaces
AG Campbell, K Santiago, D Hoo, E Mangina
2016 future technologies Conference (FTC), 1088-1093, 2016
Evaluation of keyphrase extraction algorithm and tiling process for a document/resource recommender within e-learning environments
E Mangina, J Kilbride
Computers & Education 50 (3), 807-820, 2008
COMMAS (Condition monitoring multi-agent system)
E Mangina, SDJ McArthur, JR McDonald
Autonomous Agents and Multi-Agent Systems 4 (3), 279-282, 2001
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
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
3D learning objects for augmented/virtual reality educational ecosystems
E Mangina
2017 23rd International Conference on virtual system & Multimedia (VSMM), 1-6, 2017
Intelligent agent-based monitoring platform for applications in engineering.
EE Mangina
Int. J. Comput. Sci. Appl. 2 (1), 38-48, 2005
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
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