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2020 – today
- 2024
[j1]Muhammad Haris Kaka Khel, Paul Greaney, Marion McAfee, Sandra Moffett, Kevin Meehan:
GSTGM: Graph, spatial-temporal attention and generative based model for pedestrian multi-path prediction. Image Vis. Comput. 151: 105245 (2024)- [i1]Mahmoud Tahmasebi, Saif Huq, Kevin Meehan
, Marion McAfee:
DCVSMNet: Double Cost Volume Stereo Matching Network. CoRR abs/2402.16473 (2024) - 2023
- [c15]Zain Ali, Kevin Meehan, Jennifer Hyndman, Thomas Dowling:
Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies. AICS 2023: 1-6 - [c14]Jack McShane, Marion McAfee, Eoghan Furey, Kevin Meehan:
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers. AICS 2023: 1-6 - [c13]Mallikharjuna Rao Sakhamuri, Shagufta Henna, Leo Creedon, Kevin Meehan:
Global-Local Influence Maximization Subgraph Sampling-Based Graph Representation Learning for Innate Immune Response Classification. AICS 2023: 1-6 - [c12]Tara Maguire, Kevin Meehan:
Autonomous River Boat Sensor Platform: Monitoring Rivers using AI. AIIoT 2023: 554-560 - [c11]Thomas Bridgeman, Helena Gibson, Kevin Meehan:
Gesture Recognition and Showing a Cyclist's Intent. AIIoT 2023: 656-661 - [c10]Aoibheann Sims, Zain Ali, Kevin Meehan:
Exploring the Efficacy of an IoT Device as a Sensory Feedback Tool in Facilitating Learning for Neurodivergent Students. AIIoT 2023: 755-761 - 2022
- [c9]Zain Ali, Kevin Meehan, Jennifer Hyndman, Thomas Dowling:
Real-time Detection of Bio-inspired Kilobots: A Comparison of Cloud vs. Local Resources. RTSI 2022: 116-122 - [c8]David McDaid, Kevin Meehan:
Using Deep Learning for Facial Recognition: Implementing a Convolutional Siamese Neural Network in a Facial Recognition System for Cattle. SmartNets 2022: 1-6 - 2021
- [c7]Jack McShane, Mandy Douglas, Kevin Meehan:
Using a Raspberry Pi to prevent an intoxicated driver from operating a motor vehicle. CCWC 2021: 1023-1028 - [c6]Pathan Faisal Khan, Kevin Meehan:
Diabetes prognosis using white-box machine learning framework for interpretability of results. CCWC 2021: 1501-1506 - [c5]Stefan Callery, Kevin Meehan:
Contact tracing, proximity safety, data correlation and visualization for global corporations. RTSI 2021: 480-485 - [c4]Caolan Deery, Kevin Meehan:
Using Deep Learning for COVID-19 Control: Implementing a Convolutional Neural Network in a Facemask Detection Application. SmartNets 2021: 1-6 - [c3]Jack McShane, Kevin Meehan, Eoghan Furey, Marion McAfee:
Classifying Plastic Waste on River Surfaces utilising CNN and Tensorflow. UEMCON 2021: 475-481 - [c2]Gavin Elliott, Kevin Meehan, Jennifer Hyndman:
Using CNN and Tensorflow to recognise 'Signal for Help' Hand Gestures. UEMCON 2021: 515-521
2010 – 2019
- 2016
- [b1]Kevin Meehan:
VISIT: Virtual Intelligent System for informing tourists. Ulster University, Coleraine, UK, 2016 - 2013
- [c1]Kevin Meehan, Tom Lunney, Kevin Curran, Aiden McCaughey:
Context-aware intelligent recommendation system for tourism. PerCom Workshops 2013: 328-331
Coauthor Index
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