Zobrazeno 1 - 10
of 321
pro vyhledávání: '"Indra Prakash"'
Publikováno v:
Applied Water Science, Vol 14, Iss 9, Pp 1-25 (2024)
Abstract Dam breach floods pose significant threats to downstream areas, necessitating accurate prediction of inundation scenarios to mitigate potential damage. This paper presents a novel methodology for hydrodynamic modeling of dam breach floods, l
Externí odkaz:
https://doaj.org/article/95e498dc5a1345feb0db72de8251ff5c
Publikováno v:
Applied Water Science, Vol 14, Iss 10, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/f2c3c321604b4c3580346c1bf8ad7f4d
Autor:
Rajat Shukla VSM, Indra Prakash Dubey, Ajay Kumar, Kiran Kumar Kompella, Sohil Khan, Kirti Mohanan, Abhilash Singh
Publikováno v:
Journal of Marine Medical Society, Vol 26, Iss 1, Pp 127-131 (2024)
Pyomyositis is an acute pyogenic infection of the muscles and tissues which results in localized pus collections and abscess formation. This entity at times becomes difficult to diagnose due to lack of specific signs and atypical or nonspecific manif
Externí odkaz:
https://doaj.org/article/87e9d3d0fd5c49ed8080f93657d89170
Autor:
Chien Quyet Nguyen, Tuyen Thi Tran, Trang Thanh Thi Nguyen, Thuy Ha Thi Nguyen, T. S. Astarkhanova, Luong Van Vu, Khac Tai Dau, Hieu Ngoc Nguyen, Giang Hương Pham, Duc Dam Nguyen, Indra Prakash, Binh Pham
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 1, Pp 72-87 (2024)
Soil Erosion Susceptibility Mapping (SESM) is one of the practical approaches for managing and mitigating soil erosion. This study applied four Machine Learning (ML) models, namely the Multilayer Perceptron (MLP) classifier, AdaBoost, Ridge classifie
Externí odkaz:
https://doaj.org/article/2a2b75bd61e54cf28318bde141eb4b8e
Autor:
Issam Rehamnia, Ahmed Mohammed Sami Al-Janabi, Saad Sh. Sammen, Binh Thai Pham, Indra Prakash
Publikováno v:
HydroResearch, Vol 7, Iss , Pp 131-139 (2024)
In this study, three machine learning models, namely, the Multilayer Perceptron Neural Networks (MLPNN), the Generalized Regression Neural Networks (GRNN) and the Radial Basis Function Neural Networks (RBFNN) were used for predicting seepage flow thr
Externí odkaz:
https://doaj.org/article/9b4e0988614748a1aba071e84738a599
Autor:
Tran Thi Tuyen, Nadhir Al-Ansari, Dam Duc Nguyen, Hai Minh Le, Thi Nga Quynh Phan, Indra Prakash, Romulus Costache, Binh Thai Pham
Publikováno v:
Applied Water Science, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Recently, the spread of white spot disease in shrimps has a major impact on the aquaculture activity worldwide affecting the economy of the countries, especially South-East Asian countries like Vietnam. This deadly disease in shrimps is caus
Externí odkaz:
https://doaj.org/article/025fbbf3218242199d4453a2367d0636
Publikováno v:
Magazine of Civil Engineering, Vol 17, Iss 01 (2024)
For culverts on slopes greater than critical, rougher material causes greater depth of flow and less velocity in culverts of equal size. Velocity varies inversely with resistance thus roughness elements resistance is obviously an important factor in
Externí odkaz:
https://doaj.org/article/56085a305b554fd29fd3ff98d5b41b9a
Autor:
Omkar Chandra, Madhu Sharma, Neetesh Pandey, Indra Prakash Jha, Shreya Mishra, Say Li Kong, Vibhor Kumar
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3590-3603 (2023)
Understanding the biological roles of all genes only through experimental methods is challenging. A computational approach with reliable interpretability is needed to infer the function of genes, particularly for non-coding RNAs. We have analyzed gen
Externí odkaz:
https://doaj.org/article/1935610f724b452289021da80c17e778
Publikováno v:
Sains Tanah: Journal of Soil Science and Agroclimatology, Vol 19, Iss 1, Pp 99-110 (2022)
This study was conducted to identify suitable sites for shrimp farming combined with the mangrove development (SFM) in the coastal area of central Vietnam. An integrated approach using GIS with weighted Multi-Criteria Evaluation (MCE) by Analytic Hie
Externí odkaz:
https://doaj.org/article/3a161a19fa4d4d29adebda8e29379065
Autor:
Binh Thai Pham, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Neelima Satyam, Md Masroor, Sufia Rehman, Haroon Sajjad, Mehebub Sahana, Hiep Van Le, Indra Prakash
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 5, Pp 575-596 (2021)
In this paper, we developed highly accurate ensemble machine learning models integrating Reduced Error Pruning Tree (REPT) as a base classifier with the Bagging (B), Decorate (D), and Random Subspace (RSS) ensemble learning techniques for spatial pre
Externí odkaz:
https://doaj.org/article/30ae93e96a564842aac8d38a55ba7f13