Anderson Carvalho
PhD Student
Actively working with Edge Computing to address dairy farm problems like data acquisition and distribution, novel autonomous projects and integration between cutting edge technology with old farm machinery. Involved with a range of technologies including: Edge Computing, Cloud Computing, Distributed Software Development, Industrial Communication Protocols, IoT and Reinforcement learning.
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2021. Understanding and Exploiting Dependent Variables with Deep Metric Learning. Intelligent Systems and Applications.
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2020. Edge Computing Applied to Industrial Machines. Procedia Manufacturing. 38:178-185.
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2019. One-Shot Learning for Custom Identification Tasks; A Review. Procedia Manufacturing. 38:186-193.
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2019. Improving Industrial Computing Capacity with Fog Computing and Smart Systems . Cofit 2019.
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2019. Deep Learning vs. Traditional Computer Vision . Advances in Computer Vision.
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2019. Adaptive Multimodal Localisation Techniques for Mobile Robots in Unstructured Environments : A Review. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).
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2019. Farming on the edge: Architectural Goals. 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics).
