Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Hamid Laga"'
Publikováno v:
IEEE Access, Vol 10, Pp 46354-46371 (2022)
Engagement with upper limb rehabilitation post-stroke can improve rehabilitation outcomes. Virtual Reality can be used to make rehabilitation more engaging. In this paper, we propose a multiple case study to determine: (1) whether game design princip
Externí odkaz:
https://doaj.org/article/54316f8a6606450ea9b7c23fdeba03f8
Autor:
Syed Afaq Ali Shah, Hao Luo, Putu Dita Pickupana, Alexander Ekeze, Ferdous Sohel, Hamid Laga, Chengdao Li, Blakely Paynter, Penghao Wang
Publikováno v:
Smart Agricultural Technology, Vol 2, Iss , Pp 100036- (2022)
Australia has a reputation for producing a reliable supply of high-quality barley in a contaminant-free climate. As a result, Australian barley is highly sought after by malting, brewing, distilling, and feed industries worldwide. Barley is traded as
Externí odkaz:
https://doaj.org/article/54f732a826754ad193a4a4f2039e8592
Publikováno v:
IEEE Access, Vol 9, Pp 64918-64928 (2021)
Generating textual descriptions of images has been an important topic in computer vision and natural language processing. A number of techniques based on deep learning have been proposed on this topic. These techniques use human-annotated images for
Externí odkaz:
https://doaj.org/article/82755d92994745a78c1c6d30c2852db1
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-13 (2018)
Abstract Background Field phenotyping by remote sensing has received increased interest in recent years with the possibility of achieving high-throughput analysis of crop fields. Along with the various technological developments, the application of m
Externí odkaz:
https://doaj.org/article/77cc50cc2d4f415cb8ec641c3944b23c
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0203192 (2018)
This paper develops a new machine vision framework for efficient detection and classification of manufacturing defects in metal boxes. Previous techniques, which are based on either visual inspection or on hand-crafted features, are both inaccurate a
Externí odkaz:
https://doaj.org/article/db85833b127d4a33a2fecce2b91c3576
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-1 (2019)
In the original publication of this article [1] the authors stated that important resources would be made available online to readers.
Externí odkaz:
https://doaj.org/article/854ed26fc7cc4eaeb09fc44ec72ce6fe
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0168496 (2016)
In this article we propose a novel tool that takes an initial segmented image and returns a more accurate segmentation that accurately captures sharp features such as leaf tips, twists and axils. Our algorithm utilizes basic a-priori information abou
Externí odkaz:
https://doaj.org/article/c1b899a526b640c1b9370e37e9bc9ae9
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0137655 (2015)
The morphology of plant root anatomical features is a key factor in effective water and nutrient uptake. Existing techniques for phenotyping root anatomical traits are often based on manual or semi-automatic segmentation and annotation of microscopic
Externí odkaz:
https://doaj.org/article/d6cd1b1e034043948d9468db1e3f5405
Publikováno v:
Neurocomputing. 520:82-93
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::451d1b108aef3e3deccc7847451cdef7
https://doi.org/10.1016/j.neucom.2022.11.048
https://doi.org/10.1016/j.neucom.2022.11.048
Publikováno v:
Pattern Recognition. 141:109660
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d66bad0b196d452fad5b570af32c66ae
https://doi.org/10.1016/j.patcog.2023.109660
https://doi.org/10.1016/j.patcog.2023.109660