OctopusNet: Machine learning for intelligent management of surgical tools
M Rodrigues, M Mayo, P Patros - Smart Health, 2022 - Elsevier
This paper presents a novel densely-connected convolutional neural network, termed
OctopusNet, for hierarchical classification of surgical tools. The network shares information …
OctopusNet, for hierarchical classification of surgical tools. The network shares information …
Optimizing Resource Allocation for Wireless VR Services
The virtual reality (VR) market is expected to reach 202.7 billion dollars by 2028, at a
compound annual growth rate of 24.74% over the forecast period 2023-2028. It motivates …
compound annual growth rate of 24.74% over the forecast period 2023-2028. It motivates …
Scalable CNN synthesis for resource-constrained embedded platforms
M Motamedi, F Portillo, M Saffarpour… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
State-of-the-art convolutional neural networks are designed to identify numerous object
classes. Inference using such complex networks is fairly resource intensive, prohibiting their …
classes. Inference using such complex networks is fairly resource intensive, prohibiting their …
Design-Space Exploration of Systolic Array for Edge Inferencing Applications
Systolic array (SA) architectures are suitable hardware accelerators to run artificial
intelligence (AI) algorithms due to their scalable and pipelined structure. Inferencing on …
intelligence (AI) algorithms due to their scalable and pipelined structure. Inferencing on …
Hierarchical, informed and robust machine learning for surgical tool management
MW Rodrigues - 2023 - researchcommons.waikato.ac.nz
This thesis focuses on the development of a computer vision and deep learning based
system for the intelligent management of surgical tools. The work accomplished included the …
system for the intelligent management of surgical tools. The work accomplished included the …