Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hamed, Haghighi"'
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:
Rui Miguel Silva, Filipe Manuel Clemente, Francisco González-Fernández, Hadi Nobari, Hamed Haghighi, José Ma. Cancela Carral
Publikováno v:
BMC Pediatrics, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Objectives The purpose of the present study was two-fold: (1) To analyse physical fitness changes of youth football players after a full-season; and (2) to examine whether physical fitness changes are explainable by estimated maturity status
Externí odkaz:
https://doaj.org/article/c41eee59f708471991ad3b9d6f0f0a96
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 13, Iss 2, p 29 (2024)
In this paper, an optimal PID controller is introduced for an antagonistic variable stiffness actuator (AVSA) based on Hammerstein models. A set of Hammerstein models is developed for the AVSA using the voltage difference method. For each stiffness l
Externí odkaz:
https://doaj.org/article/102effbee6294e02ad73eb26ad834bac
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:
Alessio Capello, Matteo Fresta, Francesco Bellotti, Hamed Haghighi, Johannes Hiller, Sajjad Mozaffari, Riccardo Berta
Publikováno v:
Sensors, Vol 23, Iss 18, p 7866 (2023)
As timely information about a project’s state is key for management, we developed a data toolchain to support the monitoring of a project’s progress. By extending the Measurify framework, which is dedicated to efficiently building measurement-ric
Externí odkaz:
https://doaj.org/article/8484e4cbdb3a4d7daa864ac304366ebd
Autor:
Bahareh Tahani, Abdolreza Rashno, Hamed Haghighi, Rasoul Monirifard, Hooman Nosrati Khomami, Rahele Kafieh
Publikováno v:
Journal of Medical Signals and Sensors, Vol 10, Iss 4, Pp 239-248 (2020)
Background: This study presents a new and innovative experimental method, including software and its prerequisite instruments, to use image processing techniques for crown preparation analysis. Method: A platform was designed and constructed to take
Externí odkaz:
https://doaj.org/article/b8bd21180886409ba733517fb0a27167
Autor:
Rui Miguel, Silva, Filipe Manuel, Clemente, Francisco, González-Fernández, Hadi, Nobari, Hamed, Haghighi, José Ma, Cancela Carral
Objectives The purpose of the present study was two-fold: (1) To analyse physical fitness changes of youth football players after a full-season; and (2) to examine whether physical fitness changes are explainable by estimated maturity status, 2digit:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab33677ace0267e907f9dad52d89da1
https://hdl.handle.net/10481/79470
https://hdl.handle.net/10481/79470
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
Autor:
Masoud Khosravi, Gholamreza Mokhtari, Elham Ramezanzade, Mohammad Ali Yazdanipour, Ali Monfared, Hamed Haghighi
Publikováno v:
Clinical nephrology.
Graft volume as a surrogate of nephron numbers correlates with allograft function. The primary aim of this study was to correlate renal volume determined by ultrasound, adjusted to recipient clinical parameters in order to determine post-transplant r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4461059221ec9a088683e9e4ea937df
https://pubmed.ncbi.nlm.nih.gov/36331020
https://pubmed.ncbi.nlm.nih.gov/36331020
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