Search Results - "Beck, Michael A"

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture by Beck, Michael A, Liu, Chen-Yi, Bidinosti, Christopher P, Henry, Christopher J, Godee, Cara M, Ajmani, Manisha

“…A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in…”
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Inside out: transforming images of lab-grown plants for machine learning applications in agriculture by Krosney, Alexander E, Sotoodeh, Parsa, Henry, Christopher J, Beck, Michael A, Bidinosti, Christopher P

“…Machine learning tasks often require a significant amount of training data for the resultant network to perform suitably for a given problem in any domain. In…”
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Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification by Mostafa, Sakib, Mondal, Debajyoti, Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J, Stavness, Ian

“…The development of state-of-the-art convolutional neural networks (CNN) has allowed researchers to perform plant classification tasks previously thought…”
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A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images by Noshiri, Nooshin, Beck, Michael A., Bidinosti, Christopher P., Henry, Christopher J.

“…Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information about the structure and composition of an…”
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Social differentiation and well-being in the Italian Iron Age: exploring the relationship between sex, age, biological stress, and burial complexity among the Picenes of Novilara (8th–7th c. BC) by Laffranchi, Zita, Beck De Lotto, Michael A., Delpino, C., Lösch, Sandra, Milella, Marco

“…The possible association between “biological” and “social” status in the past is a central topic in bioarchaeological studies. For the Italian Iron Age,…”
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Demo abstract: An integrated tool of applying stochastic network calculus for network performance analysis by Beck, Michael A., Henningsen, Sebastian, Qian Xu, Jianping Wang, Kui Wu, Xian Liu

“…With the recent emergence of online network performance measuring tools, Internet users are now able to measure their received service levels. Such…”
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Towards a statistical network calculus - Dealing with uncertainty in arrivals by Beck, Michael A., Henningsen, Sebastian A., Birnbach, Simon B., Schmitt, Jens B.

“…The stochastic network calculus (SNC) has become an attractive methodology to derive probabilistic performance bounds. So far the SNC is based on (tacitly…”
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Strategies and impact of learning curve estimation for CNN-based image classification by Didyk, Laura, Yarish, Brayden, Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J

“…Learning curves are a measure for how the performance of machine learning models improves given a certain volume of training data. Over a wide variety of…”
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A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images by Noshiri, Nooshin, Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J

“…Smart Agricultural Technology 5 (2023) 100316 Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information…”
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Investigating classification learning curves for automatically generated and labelled plant images by Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J, Ajmani, Manisha

“…In the context of supervised machine learning a learning curve describes how a model's performance on unseen data relates to the amount of samples used to…”
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The TerraByte Client: providing access to terabytes of plant data by Beck, Michael A, Bidinosti, Christopher P, Henry, Christopher J, Ajmani, Manisha

“…In this paper we demonstrate the TerraByte Client, a software to download user-defined plant datasets from a data portal hosted at Compute Canada. To that end…”
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Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture by Beck, Michael A, Liu, Chen-Yi, Bidinosti, Christopher P, Henry, Christopher J, Godee, Cara M, Ajmani, Manisha

“…We present two large datasets of labelled plant-images that are suited towards the training of machine learning and computer vision models. The first dataset…”
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An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture by Beck, Michael A, Liu, Chen-Yi, Bidinosti, Christopher P, Henry, Christopher J, Godee, Cara M, Ajmani, Manisha

“…A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in…”
Get full text