Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Steven Schreck"'
Publikováno v:
ICPR
In this article, we present an approach to detect basic movements of cyclists in real world traffic situations based on image sequences, optical flow (OF) sequences, and past positions using a multi-stream 3D convolutional neural network (3D-ConvNet)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cefc7b77ca3d2b992381afa2d565551
https://doi.org/10.1109/icpr48806.2021.9413233
https://doi.org/10.1109/icpr48806.2021.9413233
Publikováno v:
SSCI
This work investigates the use of knowledge about three dimensional (3D) poses and Recurrent Neural Networks (RNNs) for detection of basic movements, such as wait, start, move, stop, turn left, turn right, and no turn, of pedestrians and cyclists in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20569eec56b55eb1dd7fe18ca2b49649
https://doi.org/10.1109/ssci47803.2020.9308462
https://doi.org/10.1109/ssci47803.2020.9308462
Publikováno v:
Current Biotechnology. 2:275-283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed03001ea0b781a17caa49cc0441e9e
https://doi.org/10.2174/18722083113076660034
https://doi.org/10.2174/18722083113076660034
Autor:
Wei Cheng Wang, Mia Dvora, JoAnn M. Burkholder, Stephanie M. Mixson, Cameron W. Wilson, Keyi Sun, William L. Roberts, Nirajan Thapaliya, Lisa L. Dean, Steven Schreck, Rushyannah Killens Cade, Amy M. Grunden, H. Henry Lamb, Soundarya Srirangan, Heike Sederoff, Larry F. Stikeleather, Jeremy G. Immer, Marie Laure Sauer, Elle H. Allen, Andrew Campos
Publikováno v:
Environmental Progress & Sustainable Energy. 32:916-925
Microalgae are a promising biofuels feedstock, theoretically yielding concentrations of triacylglycerides (TAGs) per unit area that are far higher than traditional feedstocks due to their rapid growth. Dunaliella is particularly advantageous as a fee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a282fed16a815fa5c5b3679687c0494
https://doi.org/10.1002/ep.11855
https://doi.org/10.1002/ep.11855
Autor:
Steven Schreck, Amy M. Grunden
Publikováno v:
Applied microbiology and biotechnology. 98(3)
Lipases and esterases are enzymes which hydrolyze ester bonds between a fatty acid moiety and an esterified conjugate, such as a glycerol or phosphate. These enzymes have a wide spectrum of use in industrial applications where their high activity, br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72a1a6c84acd50f70a2f96a94f0f3f56
https://pubmed.ncbi.nlm.nih.gov/24318008
https://pubmed.ncbi.nlm.nih.gov/24318008