Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Pradeep Isawasan"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110758- (2024)
This paper describes a dataset collected from a survey carried out in the United Kingdom, Malaysia, and Pakistan, to understand the variables that impact political trust. The data was collected from September to November 2021 via an online survey on
Externí odkaz:
https://doaj.org/article/ae9b43c15cff4e9b9fb28ff8a1625643
Autor:
Song Quan Ong, Pradeep Isawasan, Ahmad Mohiddin Mohd Ngesom, Hanipah Shahar, As’malia Md Lasim, Gomesh Nair
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive models for monitoring dengue transmission rates. Previous work has focused only on specific weather variables and algorithms, and there is sti
Externí odkaz:
https://doaj.org/article/e94c987e8a0b44609db6dc45a812e8c1
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0296973 (2024)
In recent years, users' privacy concerns and reluctance to use have posed a challenge for the social media and wellbeing of its users. There is a paucity of research on elderly users' negative connotations of social media and the way these connotatio
Externí odkaz:
https://doaj.org/article/8565ba2cd3404c12bfdf5d05a0e0be0a
Publikováno v:
MethodsX, Vol 10, Iss , Pp 101947- (2023)
Mosquito identification and classification are the most important steps in a surveillance program of mosquito-borne diseases. With conventional approach of data collection, the process of sorting and classification are laborious and time-consuming. T
Externí odkaz:
https://doaj.org/article/bab14bcc3f364f1cb238d331abe3fd95
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by
Externí odkaz:
https://doaj.org/article/4be1f46a17c843fea7c14d3e3a135713
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 12:2506-2512
Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and Internet access, recent developments in machine learning (ML) have designed many algorithms to solve diverse human problems. However, due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15e2152c5dbc46912ee9a02e03c5aeef
https://doi.org/10.11591/eei.v12i4.4601
https://doi.org/10.11591/eei.v12i4.4601
Autor:
M. Navanitha, K.S. Savita, Noreen Izza Arshad, Pradeep Isawasan, Donnie Adams, Nur Hidayah Che Ahmat, Tenku Putri Norishah Binti Tenku Shariman
Publikováno v:
Journal of Hunan University Natural Sciences. 49:77-87
COVID-19 has lately changed the way that people learn and teach by making it accessible at any time, from any location, and for a reasonable price. Traditional face-to-face teaching and learning are losing in popularity as more students choose hybrid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88f03c81ff47acb1e4a098dc29b60587
https://doi.org/10.55463/issn.1674-2974.49.10.9
https://doi.org/10.55463/issn.1674-2974.49.10.9
Autor:
M. Navanitha, K.S Savita, Noreen Izza Arshad, Pradeep Isawasan, Donnie Adams, Nur Hidayah Che Ahmat, Tenku Putri Norishah Binti Tenku Shariman
Publikováno v:
2022 International Conference on Digital Transformation and Intelligence (ICDI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6776e5f341e21349652590bda13ad912
https://doi.org/10.1109/icdi57181.2022.10007115
https://doi.org/10.1109/icdi57181.2022.10007115
Publikováno v:
2022 3rd International Conference on Artificial Intelligence and Data Sciences (AiDAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c95f326c58d3ac89acb6c69bcb7ddb
https://doi.org/10.1109/aidas56890.2022.9918722
https://doi.org/10.1109/aidas56890.2022.9918722
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using har
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12be4ae8995762b5f7dc9851cd50c6b8
https://doi.org/10.1038/s41598-021-89365-3
https://doi.org/10.1038/s41598-021-89365-3