Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Shane Ward"'
Autor:
Jeremy Dale, Ify Sargeant, Sophie Staniszewska, Dawn Edge, Lorna Hollowood, Tony Kelly, Rachel Spencer, Eleanor Hoverd, Violet Effiom, Dionne Gravesande, Esther Mukuka, Taiwo Owatemi, Shane Ward
Publikováno v:
BMJ Open, Vol 14, Iss 3 (2024)
Introduction People from Black African Diaspora Communities (BAFDC) experience poorer health outcomes, have many long-term conditions and are persistently under-represented in health and care research. There is limited focus on programmes, or interve
Externí odkaz:
https://doaj.org/article/fb4fd4463dab41458ffb9106a8089d32
Publikováno v:
European Journal of Engineering and Technology Research. 8:33-40
Due to complex feature abstraction and learning power, CNNs have been the most successful machine learning algorithms for image classification tasks. The objective of this work was to evaluate the potential of convolutional neural networks (CNNs) for
Autor:
Shane Ward
Publikováno v:
Philosophy and Phenomenological Research.
Autor:
Shane Ward
Publikováno v:
Inquiry. :1-19
Autor:
Iona Yuelu Huang, Louise Manning, Vicky Wood, Katy L. James, Anthony Millington, Vasilis Grigoriadis, Shane Ward
Publikováno v:
British Food Journal. 124:3201-3219
PurposeThis research aims to explore retail managers' views on how food waste (FW) management activities contribute to sustainable value creation and how the customer value proposition (CVP) for a given food retailer interacts with their approaches t
Publikováno v:
British Food Journal. 124:331-349
PurposeSince the end of the latest rice-pledging scheme, Thai rice farmers have had more freedom in selecting marketing channels. Understanding the determinants of farmers' decision-making associated with these channels is of particular interest to m
Autor:
John Walsh, Shane Ward
Publikováno v:
SSRN Electronic Journal.
Autor:
Shane Ward, Hossein Malekmohamadi
Existing state-of-the-art object detection networks for 3D point clouds provide bounding box results directly from 3D data, without reliance on 2D detection methods. While state-of-the-art accuracy and mAP (mean average precision) results are achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7f64f82373210abf85f7cf349531949
https://hdl.handle.net/2086/21576
https://hdl.handle.net/2086/21576
Autor:
Tamíris Pacheco da Costa, James Gillespie, Xavier Cama-Moncunill, Shane Ward, Joan Condell, Ramakrishnan Ramanathan, Fionnuala Murphy
Publikováno v:
Sustainability. 15:614
Continuous monitoring of food loss and waste (FLW) is crucial for improving food security and mitigating climate change. By measuring quality parameters such as temperature and humidity, real-time sensors are technologies that can continuously monito
Publikováno v:
Sustainable Radio Frequency Identification Solutions
1.1 Irish cattle traceability The Irish Department of Agriculture, Fisheries and Food (DAFF) is the authority responsible for the implementation of EC 1760/2000, which outlines the requirements for the identification and registration of bovine animal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06e3f42a50e2163d414d82ddce66187e
http://www.intechopen.com/articles/show/title/implementation-protocol-utilising-radio-frequency-identification-rfid-and-biometric-identifiers-in-t
http://www.intechopen.com/articles/show/title/implementation-protocol-utilising-radio-frequency-identification-rfid-and-biometric-identifiers-in-t