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pro vyhledávání: '"Asanka de Silva"'
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
Autor:
Uthpali Mannapperuma, Priyadarshani Galappatthy, Raveendra Laal Jayakody, Jayan Mendis, Varuni Asanka de Silva, Raveen Hanwella
Publikováno v:
BMC Psychiatry, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Safety monitoring of medicines is essential during therapy for bipolar disorder (BD). We determined the extent of safety monitoring performed according to the International Society for Bipolar Disorders (ISBD) guidelines in patien
Externí odkaz:
https://doaj.org/article/469a9e9f723244618bce16b6fce2dbca
Autor:
Varuni Asanka de Silva, Chathurie Suraweera, Suhashini S. Ratnatunga, Madhubashinee Dayabandara, Nimali Wanniarachchi, Raveen Hanwella
Publikováno v:
BMC Psychiatry, Vol 16, Iss 1, Pp 1-10 (2016)
Abstract Background Most antipsychotics are associated with weight gain and other metabolic complications. Several randomized trials have shown metformin to be effective, but this still hasn’t been included in clinical guidelines on managing antips
Externí odkaz:
https://doaj.org/article/e1db6490d5004851980574ee4f27d493
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