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- The University of MelbourneAU136 papers
- Centre for Quantum Computation and Communication TechnologyAU107 papers
- Swinburne University of TechnologyAU99 papers
- Monash UniversityAU76 papers
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- Commonwealth Scientific and Industrial Research OrganisationAU46 papers
- Institut National de la Recherche ScientifiqueCA46 papers
- City University of Hong KongHK43 papers
- The University of SydneyAU43 papers
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82 papers · 1 filter
Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
Ziru Niu, Hai Dong, A. K. Qin +2
Federated Learning (FL) has emerged as a privacy-preserving paradigm for training machine learning models across distributed edge devices in the Internet of Things (IoT). By keepin…
ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis +8
This research proposes "ForCM", a novel approach to forest cover mapping that combines Object-Based Image Analysis (OBIA) with Deep Learning (DL) using multispectral Sentinel-2 ima…
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardina
In this paper, a probabilistic space-time representation of complex traffic scenarios is predicted using machine learning algorithms. Such a representation is significant for all a…
Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version)
Wenbin Mai, Minghui Liwang, Xinlei Yi +3
Ensuring safe, robust, and scalable motion planning for multi-agent systems in dynamic and uncertain environments is a persistent challenge, driven by complex inter-agent interacti…
Wide Tuning Range and Low Noise Voltage Control Oscillators for 5G Technology
Minh Xuan Bui, Nguyen Thien Dat, Van Hong Lam +4
This paper presents the analytical design of a new wide tuning range and low-noise millimeter-wave voltage control oscillators (VCO) for 5G technology. The small signal model analy…
Bayesian and Machine-Learning Analyses of Nonminimal Gravity and Tension
Simran Arora, Mridul Patel
In this study, the cosmological implications of nonminimally coupled gravity are examined within the metric-affine formalism, in which the nonmetricity scalar couples di…