Dissertations - FacICTAI - 2019
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Collection's Items (Sorted by Submit Date in Descending order): 21 to 32 of 32
Issue Date | Title | Author(s) |
2019 | Optimisation of learning-to-learn in spiking neural circuits | D’Amato, Kristian |
2019 | Intelligent aggregation and adaptive visualization | Vella, Kim |
2019 | Intelligent optimizer statistic generation for relational databases | Sammut, Gabriel Lawrence |
2019 | GO term predictionsin CATH : a machine learning approach | Penza, Kenneth |
2019 | Identification of small objects using convolutional neural networks : a case study of litter detection from aerial imagery | Schembri, Michael |
2019 | ELD : Event TimeLine Detection : participant-based approach to tracking events | Mamo, Nicholas |
2019 | Detecting human abnormal behaviour through a video generated model | Gatt, Thomas |
2019 | A big data approach for clustering large chemical datasets | Cassar, Jurgen |
2019 | Using deep learning in a board game support system | Attard, Owen |
2019 | Exploring hypernym discovery : a projection learning perspective | Farrugia, James P. |
2019 | Mining disaster impact | Camilleri, Stephen |
2019 | Analytics of patient flow patterns in a healthcare ecosystem : a blockchain approach | Abela, Stephen |
Collection's Items (Sorted by Submit Date in Descending order): 21 to 32 of 32