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1281 research outputs found
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GAD314.1 Example 1
No full textA submisson for GAD314.1 - Portfolio for the period of 24T3 of high quality to serve as an exemplar for future trimester
GPG214.2 File Systems and Optimisations: Into The Cloud Example 2
No full textA HD example of GPG214.
Digitising the Deep Past: Machine Learning for Rock Art Motif Classification in an Educational Citizen Science Application
No full textDigitising the Deep Past (DDP) is an interdisciplinary project based at Griffith University, Australia, that innovates in three areas: Indigenous cultural heritage, Indigenous education, and Machine Learning (ML) and Artificial Intelligence (AI). The project investigates the use of a purpose-built citizen science application that engages Indigenous youth in educational exercises grounded in local cultural heritage, specifically rock art, making learning more engaging and exposing them to digital technologies. Furthermore, ML models trained with the data gathered through these educational activities can then assist with classifying new rock art images and assisting rangers and archaeologists with site archiving and conservation efforts. This article discusses the project’s significance in enhancing Indigenous science and technology education and outlines its results in using ML for rock art classification. Adopting deep learning in rock art classification offers a compelling avenue for the automated analysis and interpretation of heritage objects and places. However, training deep neural networks from scratch often requires enormous datasets and computational resources, posing challenges for domain-specific applications with smaller datasets. With a dataset comprising approximately 3,100 labeled rock art images, we evaluated various tools within the transfer learning toolbox using three prominent pre-trained architectures: VGG19, ResNet50 and EfficientNet V2 S. Through the collaborative efforts of Indigenous students and ML, we demonstrate that even with limited training resources, using transfer learning to re-purpose an existing model can achieve motif classification Top 1 accuracy of 79.76% and Top 5 of 94.56%. The project ran from 2021 to 2023, including 3 week-long sessions with students of Laura State School to trial the citizen science app and the evaluation, development and refinement of the ML models. The DDP project not only serves as a beacon for community-centric research but also forges a new frontier in integrating Indigenous cultural heritage with modern technology. The impact reaches beyond academia, directly enriching the educational experience for Indigenous students in Laura and equipping local rangers and archaeologists with advanced tools for rock art conservation
On The Clock (Animated Short Film)
No full textOn The Clock is about the stresses of the workplace, especially for new employees such as Walter on his first day working as a supermarket cashier. We follow this anxious undertrained teenager through perilous mountains of groceries and getting bonked by furious customers. This story encapsulates the current situation of supermarkets overworking and understaffing their stores
FM is my Religion/Everyone\u27s a Little Bit Country [Music Video]
No full text“There’s a lonely house...
at the top of a hill”
Single 4: ‘Heartbreak Highway
Squid.Inc [Aufio, Documentary]
No full textSquid.Inc
Can they Actually Make An Album?
Written and Directed By Jack Chambers
Pongmania [Game]
No full textOnce upon a time, games were fun and simple and you didn\u27t need to own 2 game copies to play with your friends. In Pongamia we want to make an homage to one of the first video games ever Pong but with new added twists and visuals that would make for an entertaining experience where young and old people alike can enjoy themselves. The story of the evolution will be told by evolving the aesthetics of the game while you play by adding new features such as upgrades, improved visuals, different music, particle effects et