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Amey Bhole, Research Internship Project, 2020 code Supervisors: Dr. George Azzopardi, Dr. Owen Falzon and Dr. Sandeep Udmale Proposed a novel CORF3D feature set based on brain-inspired push-pull CORF model |
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Amey Bhole, Steven Farrugia Scientific Visualization Project, 2019 code Implemented a number of visualization algorithms to a fluid flow simulation - allowing the end user to interact and filter the visualization to their desired goal via a Graphical User Interface (GUI) |
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Amey Bhole, Andrei Cusnir, Remco van Buijtenen, Stefan Evanghelides, Thorsten Rangnau Software Architecture Project, 2019 pdf / slides Design and development of smart systems for livestock production and management |
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Amey Bhole, Research Internship Project, 2018 code / pdf Supervisors: Dr. George Azzopardi and Prof. Dr. Michael Biehl Developed a novel computer vision system for individual identification of Holstein cattle in farms based on coat patterns |
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Amey Bhole, Steven Farrugia, Hichem Bouakaz, Kyprianos Isaakidis Machine Learning Project, 2018 code Comparison of CNN models pre-trained on ms-celeb 1million and ImageNet data set for individual identification of Holstein cattle. |
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Amey Bhole, Marios Lykiardopoulos Visual Analytics for Big Data Project, 2018 pdf / visualizations Analysis of geographical, temporal, classification and resolution speed of incident across Seattle using visualization tool Tableau. |
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Amey Bhole, Marios Lykiardopoulos, Orestis Divintari Scalable Computing Project, 2018 code Developed a scalable model for music recommendation system using combination of alternating least squares algorithm and global baseline approach |
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Amey Bhole, Martin Dijkhuizen, Ilyas Aaqaoui, Tos Sambo Machine Learning Project, 2017 code Predict hospital readmission of diabetic patients using bagging based ensemble technique |