Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Edward Collier"'
Autor:
Licia Calabrese, Julie Ann Riordan, Imogen Anne Lloyd, Alexa Darby Foster, Thomas Edward Collier, Johannes Alexandre Chambon, Yasir Wusayl Aljohani, Essa Ali Alhamdi, Patrick Rowan Beaumont, Ivor Douglas Williams, Omar Al-Attas
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
IntroductionSeabirds and other insular birds are an important part of marine ecosystems and are increasingly threatened worldwide. Phenology, abundance, distribution, and breeding success are important baseline parameters needed to evaluate populatio
Externí odkaz:
https://doaj.org/article/37f0eed8028241ddaaec2d260950526c
Autor:
Subodh Kalia, Sanmay Ganguly, Supratik Mukhopadhyay, Andrew Michaelis, Shuang Li, Edward Collier, G. Shreekant, Geri Madanguit, Ramakrishna R. Nemani, Auroop R. Ganguly, Kate Duffy
Publikováno v:
Remote Sensing Letters. 12:439-448
With increase in urbanization and Earth Sciences research into urban areas, the need to quickly and accurately segment urban rooftop maps has never been greater. Current machine learning techniques...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f82232aad2fa3f888faa895d0014ff5e
https://doi.org/10.1080/2150704x.2021.1895444
https://doi.org/10.1080/2150704x.2021.1895444
Autor:
Edward Collier, Supratik Mukhopadhyay
Publikováno v:
2021 Digital Image Computing: Techniques and Applications (DICTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c757b24b205016098529252fdc242f4c
https://doi.org/10.1109/dicta52665.2021.9647086
https://doi.org/10.1109/dicta52665.2021.9647086
Autor:
Edward Collier, Supratik Mukhopadhyay
Publikováno v:
ICPR
Recent work in deep neural networks has sought to characterize the nature in which a network learns features and how applicable learnt features are to various problem sets. Deep neural network applicability can be split into three sub-problems; set a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80e3fa51a6a44241205860acb009926
https://doi.org/10.1109/icpr48806.2021.9412665
https://doi.org/10.1109/icpr48806.2021.9412665
Autor:
Edward Collier, Supratik Mukhopadhyay, Alimire Nabijiang, Sanaz Saeidi, Yimin Zhu, Robert DiBiano, Ravindra Gudishala, Qun Liu, Arnab Ganguly, Subhajit Sidhanta, Chanachok Chokwitthaya
Publikováno v:
COMSNETS
Recently, it has been widely accepted by the research community that interactions between humans and cyber-physical infrastructures have played a significant role in determining the performance of the latter. The existing paradigm for designing cyber
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4596d2c4a617a6cd01d48e07942fd242
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638221
ICONIP (5)
ICONIP (5)
Features in a deep neural network are only as robust as those present in the data provided for training. The robustness of features applies to not just the types of features and how they apply to various classes, known or unknown, but also to how tho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e49fb4f6109f4fd003d15f69a14eab68
https://doi.org/10.1007/978-3-030-63823-8_28
https://doi.org/10.1007/978-3-030-63823-8_28
Publikováno v:
IJCNN
Building performance discrepancies between building design and operation are one of the causes that lead many new designs fail to achieve their goals and objectives. One of main factors contributing to the discrepancy is occupant behaviors. Occupants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43682a2d5a6a519df3c9fd0d055373bd
Publikováno v:
Digital Libraries at the Crossroads of Digital Information for the Future ISBN: 9783030340575
ICADL
ICADL
Due to the sparsity of features, noise has proven to be a great inhibitor in the classification of handwritten characters. To combat this, most techniques perform denoising of the data before classification. In this paper, we consolidate the approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97a67e579ca24475887e29dd101526ef
https://doi.org/10.1007/978-3-030-34058-2_1
https://doi.org/10.1007/978-3-030-34058-2_1
Publikováno v:
Automation in Construction. 119:103350
Existing building performance models (existing BPMs) often lack the capability for addressing human-building interactions in future buildings or buildings under design because they are mainly derived using data in existing buildings. The limitation m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5eaf4aa846e6a52be6c0bfde7da127a
https://doi.org/10.1016/j.autcon.2020.103350
https://doi.org/10.1016/j.autcon.2020.103350
Publikováno v:
IJCNN
Deep neural networks trained over large datasets learn features that are both generic to the whole dataset, and specific to individual classes in the dataset. Learned features tend towards generic in the lower layers and specific in the higher layers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56da26ed536cc9531e21ef6ef2308020