Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Nausheen Saeed"'
Publikováno v:
Sudan Journal of Medical Sciences, Vol 19, Iss 3, Pp 367-377 (2024)
Abstract Background: The main objective of this study is to design a method to calculate the notional learning hours (NLH) of final-year medical students doing a surgical clerkship course, as current methods are based only on assumptions. Secondary o
Externí odkaz:
https://doaj.org/article/a1b775037d634fd79a07c258d63f30df
Publikováno v:
Transportation Engineering, Vol 16, Iss , Pp 100228- (2024)
This study investigates the combination of audio and image data to classify road conditions, particularly focusing on loose gravel scenarios. The dataset underwent binary categorisation, comprising audio segments capturing gravel sounds and correspon
Externí odkaz:
https://doaj.org/article/e916ac5245064e1fafbca8b2a6344efe
Publikováno v:
Energy and AI, Vol 12, Iss , Pp 100235- (2023)
Building sector account for significant global energy consumption and Heating Ventilation and Air Conditioning (HVAC) systems contribute to the highest portion of building energy consumption. Therefore, the potential for energy saving by improving th
Externí odkaz:
https://doaj.org/article/3f0d7fed2bb349f5a8ae4015078ad9eb
Publikováno v:
Sensors, Vol 21, Iss 14, p 4944 (2021)
Road condition evaluation is a critical part of gravel road maintenance. One of the assessed parameters is the amount of loose gravel, as this determines the driving quality and safety. Loose gravel can cause tires to slip and the driver to lose cont
Externí odkaz:
https://doaj.org/article/5c132da66bef4c6c931eb1d18c05d0a6
Autor:
Nausheen Saeed
Publikováno v:
Journal of Medical Ethics and History of Medicine, Vol 2, Pp 1-3 (2009)
Externí odkaz:
https://doaj.org/article/06d02d0aa00c4aabae2d1a784641ca7b
Road maintenance agencies subjectively assess loose gravel as one of the parameters for determininggravel road conditions. This study aims to evaluate the performance of deep learning-based pretrainednetworks in rating gravel road images according to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e83e48c3312c5d44a20a58984cfa349
http://urn.kb.se/resolve?urn=urn:nbn:se:du-43181
http://urn.kb.se/resolve?urn=urn:nbn:se:du-43181
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4944, p 4944 (2021)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4944, p 4944 (2021)
Sensors
Volume 21
Issue 14
Road condition evaluation is a critical part of gravel road maintenance. One of the assessed parameters is the amount of loose gravel, as this determines the driving quality and safety. Loose gravel can cause tires to slip and the driver to lose cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff77166c5322fce1686435599e0783ae
https://pubmed.ncbi.nlm.nih.gov/34300684
https://pubmed.ncbi.nlm.nih.gov/34300684
Publikováno v:
2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI).
Road condition evaluation is a critical part of gravel road maintenance. One of the parameters that are assessed is loose Gravel. An expert does this evaluation by subjectively looking at images taken and written text for deciding on the road conditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b525769beb0c16373761b02e01a4a4b4
https://doi.org/10.1109/iscmi51676.2020.9311569
https://doi.org/10.1109/iscmi51676.2020.9311569
Publikováno v:
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).
Conventional road condition evaluation is an expensive and time-consuming task. Therefore data collection from indirect economical methods is desired by road monitoring agencies. Recently intelligent road condition monitoring has become popular. More
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8bd7dd2466f5ec063af4a45d039a5b6
https://doi.org/10.1109/iciea48937.2020.9248317
https://doi.org/10.1109/iciea48937.2020.9248317