Andrew Shepley
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View article: Learning the Grid: Transformer Architectures for Electricity Price Forecasting in the Australian National Market
Learning the Grid: Transformer Architectures for Electricity Price Forecasting in the Australian National Market Open
The increasing adoption of highly variable renewable energy has introduced unprecedented volatility into the National Electricity Market (NEM), rendering traditional linear price forecasting models insufficient. The Australian Energy Marke…
View article: The Sentinel Bait Station: an automated, intelligent design pest animal baiting system
The Sentinel Bait Station: an automated, intelligent design pest animal baiting system Open
Context Ground baiting is a strategic method for reducing vertebrate pest populations. Best practice involves maximising bait availability to the target species, although sustaining this availability is resource intensive because baits nee…
View article: U-Infuse: Democratization of Customizable Deep Learning for Object Detection
U-Infuse: Democratization of Customizable Deep Learning for Object Detection Open
Image data is one of the primary sources of ecological data used in biodiversity conservation and management worldwide. However, classifying and interpreting large numbers of images is time and resource expensive, particularly in the conte…
View article: Automated location invariant animal detection in camera trap images using publicly available data sources
Automated location invariant animal detection in camera trap images using publicly available data sources Open
A time‐consuming challenge faced by camera trap practitioners is the extraction of meaningful data from images to inform ecological management. An increasingly popular solution is automated image classification software. However, most solu…
View article: Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection Open
Confluence is a novel non-Intersection over Union (IoU) alternative to Non-Maxima Suppression (NMS) in bounding box post-processing in object detection. It overcomes the inherent limitations of IoU-based NMS variants to provide a more stab…
View article: Automated Location Invariant Animal Detection In Camera Trap Images Using Publicly Available Data Sources
Automated Location Invariant Animal Detection In Camera Trap Images Using Publicly Available Data Sources Open
1. A time-consuming challenge faced by ecologists is the extraction of meaningful data from camera trap images to inform ecological management. Automated object detection solutions are increasingly, however, most are not sufficiently robus…
View article: U-Infuse: Democratization of Customizable AI for Object Detection
U-Infuse: Democratization of Customizable AI for Object Detection Open
Summary Image data is one of the primary sources of ecological data used in biodiversity conservation and management worldwide. However, classifying and interpreting large numbers of images is time and resource expensive, particularly in t…
View article: Location Invariant Animal Recognition Using Mixed Source Datasets and Deep Learning
Location Invariant Animal Recognition Using Mixed Source Datasets and Deep Learning Open
A time-consuming challenge faced by camera trap practitioners all over the world is the extraction of meaningful data from images to inform ecological management. The primary methods of image processing used by practitioners includes manua…
View article: Face Recognition in Unconstrained Conditions: A Systematic Review
Face Recognition in Unconstrained Conditions: A Systematic Review Open
Face recognition is a biometric which is attracting significant research, commercial and government interest, as it provides a discreet, non-intrusive way of detecting, and recognizing individuals, without need for the subject's knowledge …
View article: Deep Learning For Face Recognition: A Critical Analysis
Deep Learning For Face Recognition: A Critical Analysis Open
Face recognition is a rapidly developing and widely applied aspect of biometric technologies. Its applications are broad, ranging from law enforcement to consumer applications, and industry efficiency and monitoring solutions. The recent a…