40 citations · 105 across the 15 of their papers we have counts for
6 papers · 1 filter
Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning Applications in Agriculture
A. E. Krosney, P. Sotoodeh, C. J. Henry +2
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 agriculture, dataset…
Generating accurate tip angles for NMR outside the rotating-wave approximation
Christopher P Bidinosti, Geneviève Tastevin, Pierre-Jean Nacher
The generation of accurate tip angles is critical for many applications of nuclear magnetic resonance. In low static field, with a linear rather than circular polarized rf field, t…
Characterization of electroless nickel-phosphorus plating for ultracold-neutron storage
H. Akatsuka, T. Andalib, B. Bell +51
Electroless nickel plating is an established industrial process that provides a robust and relatively low-cost coating suitable for transporting and storing ultracold neutrons (UCN…
The Precision nEDM Measurement with UltraCold Neutrons at TRIUMF
Ryohei Matsumiya, Hiroaki Akatsuka, Chris P. Bidinosti +45
The TRIUMF Ultra-Cold Advanced Neutron (TUCAN) collaboration aims at a precision neutron electric dipole moment (nEDM) measurement with an uncertainty of $10^{-27}\,e\cdot\mathrm{c…
Investigating classification learning curves for automatically generated and labelled plant images
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
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 train the model. In this…
The TerraByte Client: providing access to terabytes of plant data
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
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 the client offers two…