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Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
Autor:
Menuka Maharjan, Sachin Timilsina, Santosh Ayer, Bikram Singh, Bikram Manandhar, Amir Sedhain
Publikováno v:
Natural Hazards Research, Vol 4, Iss 1, Pp 32-45 (2024)
Nepal, known for its challenging topography and fragile geology is confronted with the constant threat of floods leading to substantial socio-economic losses annually. However, the country's efforts in planning and managing flood risks remain insuffi
Externí odkaz:
https://doaj.org/article/72e8bd9895d141bf94239f09ba2480f4
Publikováno v:
Journal of Nepal Medical Association, Vol 62, Iss 277 (2024)
Persistent Müllerian duct syndrome is a rare autosomal recessive disorder of sex development characterized by the presence of Müllerian duct derived structures in a normally virilized, genotypical (46, XY) and phenotypical male. Here we describe a
Externí odkaz:
https://doaj.org/article/66c6852a303c4f4e80e5c112df1de83b
Publikováno v:
Journal of Nepal Medical Association, Vol 62, Iss 276 (2024)
Introduction: Fine needle aspiration cytology is a simple, rapid, cost-effective method in diagnosis of head and neck swelling with minimal risk of complications. Head and neck swellings include a broad spectrum of diseases with different management
Externí odkaz:
https://doaj.org/article/df1d53cac8e546b7b6636f038bfac592
Publikováno v:
In Journal of Computer Languages June 2024 79
Autor:
Krishnaraj Aryal, MBBS, Pradeep Raj Regmi, MD, Gauri Adhikari, MBBS, Ujjwal Bhhattarai, MD, Sagar Prasad Sedhain, MD
Publikováno v:
Radiology Case Reports, Vol 18, Iss 10, Pp 3483-3486 (2023)
Congenital pulmonary airway malformation (CPAM) is a rare congenital dysplastic malformation characterized by failure of bronchial development and localized glandular overgrowth. Previously known as Congenital Cystic Adenoid Malformation (CCAM), CPAM
Externí odkaz:
https://doaj.org/article/f9affaf023d0461f93434f40752a330a
Publikováno v:
In Construction and Building Materials 15 March 2024 419
Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
Autor:
Maharjan, Menuka, Timilsina, Sachin, Ayer, Santosh, Singh, Bikram, Manandhar, Bikram, Sedhain, Amir
Publikováno v:
In Natural Hazards Research January 2024
Autor:
Pramod Regmi, Nirmal Aryal, Sankalpa Bhattarai, Arun Sedhain, Radheshyam Krishna K. C., Edwin van Teijlingen
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/0071fe2ef72d488d814a6a0d5f591651
Autor:
Chamberlain, Benjamin P., Rossi, Emanuele, Shiebler, Dan, Sedhain, Suvash, Bronstein, Michael M.
Publikováno v:
Fourteenth ACM Conference on Recommender Systems (RecSys '20), September 22--26, 2020, Virtual Event, Brazil
Word2vec is a powerful machine learning tool that emerged from Natural Lan-guage Processing (NLP) and is now applied in multiple domains, including recom-mender systems, forecasting, and network analysis. As Word2vec is often used offthe shelf, we ad
Externí odkaz:
http://arxiv.org/abs/2009.12192
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