705 citations
- Commonwealth Scientific and Industrial Research OrganisationAU25 papers
- UNSW SydneyAU24 papers
- Center for Astrophysics Harvard & SmithsonianUS16 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Australia Telescope National FacilityAU13 papers
- The University of SydneyAU13 papers
- University of LeedsGB12 papers
- Western Sydney UniversityAU12 papers
- Australian National UniversityAU11 papers
- University College LondonGB11 papers
- University of Southern QueenslandAU10 papers
- University of ManchesterGB9 papers
232 papers
Multi-pathogen situational assessment and forecasting of respiratory disease in Aotearoa New Zealand
M. J. Plank, A. R. Young, K. L. Senior +5
Real-time analysis of epidemic trends and forecasts can help support public health planning and the response to seasonal respiratory disease. Here, we present two models that were…
Advancements in Weed Mapping: A Systematic Review
Mohammad Jahanbakht, Alex Olsen, Ross Marchant +2
Weed mapping plays a critical role in precision management by providing accurate and timely data on weed distribution, enabling targeted control and reduced herbicide use. This min…
From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation
Quanwei Liu, Tao Huang, Jiaqi Yang +1
Remote sensing images (RSIs) capture both natural and human-induced changes on the Earth's surface. Semantic segmentation (SS) of RSIs enables the fine-grained interpretation of su…
Can Reasoning LLMs Enhance Clinical Document Classification?
Akram Mustafa, Usman Naseem, Mostafa Rahimi Azghadi
Clinical document classification is essential for converting unstructured medical texts into standardised ICD-10 diagnoses, yet it faces challenges due to complex medical language,…
OptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering
Guanhua Ding, Yuxuan Xia, Runwei Guan +5
Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-ba…
NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
Ben Walters, Yeshwanth Bethi, Taylor Kergan +5
Neuromorphic engineering aims to advance computing by mimicking the brain's efficient processing, where data is encoded as asynchronous temporal events. This eliminates the need fo…