Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rajitha Ranasinghe"'
A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads
Autor:
Asanka De Silva, Rajitha Ranasinghe, Arooran Sounthararajah, Hamed Haghighi, Jayantha Kodikara
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract The generation of reference data for machine learning models is challenging for dust emissions due to perpetually dynamic environmental conditions. We generated a new vision dataset with the goal of advancing semantic segmentation to identif
Externí odkaz:
https://doaj.org/article/b69278c53757460fa1ed5165822fe156
Autor:
Asanka de Silva, Rajitha Ranasinghe, Arooran Sounthararajah, Hamed Haghighi, Jayantha Kodikara
Publikováno v:
Sensors, Vol 24, Iss 2, p 510 (2024)
Road dust is a mixture of fine and coarse particles released into the air due to an external force, such as tire–ground friction or wind, which is harmful to human health when inhaled. Continuous dust emission from the road surfaces is detrimental
Externí odkaz:
https://doaj.org/article/c8777e28371f45acb7d335d2c305e31d
Publikováno v:
Sensors, Vol 23, Iss 17, p 7507 (2023)
Intelligent compaction (IC) is a technology that uses non-contact sensors to monitor and record the compaction level of geomaterials in real-time during road construction. However, current IC devices have several limitations: (i) they are unable to v
Externí odkaz:
https://doaj.org/article/cd9383a2274d45f1aefb57b707d42394
Publikováno v:
Journal of Discrete Mathematical Sciences and Cryptography. 25:127-134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b31a93a1c2addf68014110ed717c54ff
https://doi.org/10.1080/09720529.2021.1968574
https://doi.org/10.1080/09720529.2021.1968574
This study aims to develop an innovative retrofittable platform with cutting-edge hardware and software tools to advance the current state of intelligent compaction technology. We built a prototype of this platform from the ground up, hereafter refer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919789d017c73ab3c7bc6edae13331ce
https://doi.org/10.21203/rs.3.rs-2371914/v1
https://doi.org/10.21203/rs.3.rs-2371914/v1
Autor:
Asanka De Silva, Rajitha Ranasinghe, Arooran Sounthararajah, Hamed Haghighi, Jayantha Kodikara
A substantial proportion of roads, especially in developing countries, remain unsealed. Monitoring of traffic-induced dust is an essential part of unsealed road maintenance. The measurement of the degree of severity of dust emissions is a challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea7ff8e20d4f628de27d2f0322378849
https://doi.org/10.21203/rs.3.rs-2239765/v1
https://doi.org/10.21203/rs.3.rs-2239765/v1
A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads
Autor:
Asanka De Silva, Rajitha Ranasinghe, Arooran Sounthararajah, Hamed Haghighi, Jayantha Kodikara
Publikováno v:
Scientific data. 10(1)
The generation of reference data for machine learning models is challenging for dust emissions due to perpetually dynamic environmental conditions. We generated a new vision dataset with the goal of advancing semantic segmentation to identify and qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a7296ff8019041fc62728f71910995a
https://pubmed.ncbi.nlm.nih.gov/36604492
https://pubmed.ncbi.nlm.nih.gov/36604492
Publikováno v:
Journal of Discrete Mathematical Sciences and Cryptography. 25:2395-2403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f22c982fc2acbb33a296517506ec5ec8
https://doi.org/10.1080/09720529.2020.1857902
https://doi.org/10.1080/09720529.2020.1857902
Autor:
Dorin Ervin Dutkay, Rajitha Ranasinghe
Publikováno v:
Journal of Mathematical Analysis and Applications. 462:1032-1047
Continuing the ideas from our previous paper [6] , we construct Parseval frames of weighted exponential functions for self-affine measures.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45ae6c05948e2c3bbb1e8a9be97e629
https://doi.org/10.1016/j.jmaa.2017.12.055
https://doi.org/10.1016/j.jmaa.2017.12.055
Autor:
Xin Li, Rajitha Ranasinghe
Publikováno v:
Proceedings of the American Mathematical Society. 146:4283-4292
In this paper, we first establish a series representation formula for the Askey–Wilson operator applied on entire functions of exponential type and then demonstrate its power in discovering summation formulas, some known and some new.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0681d03005c4eb22a4c491855d00108c
https://doi.org/10.1090/proc/14080
https://doi.org/10.1090/proc/14080