Zobrazeno 1 - 10
of 502
pro vyhledávání: '"Binh Thai Pham"'
Publikováno v:
Earth and Space Science, Vol 11, Iss 6, Pp n/a-n/a (2024)
Abstract Groundwater potential maps are crucial tools for effectively managing water resources, particularly in agriculturally focused countries such as Vietnam. However, creating these maps is a challenging task that requires reliable data and metho
Externí odkaz:
https://doaj.org/article/e97e8148db2e4b478c24813bd4a7b077
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:
Journal of Applied Economics, Vol 26, Iss 1 (2023)
ABSTRACTThe Great Recession and the COVID-19 pandemic shared two of its critical macroeconomic consequences: a major increase in world uncertainty and great stress on public finances. In this paper, we show that not only these are not independent phe
Externí odkaz:
https://doaj.org/article/200b4df189c24ffaa2011b0668bcdaa2
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
Autor:
Van Hung Pham, Huong Thien Pham, Mario G. Balzanelli, Pietro Distratis, Rita Lazzaro, Quoc Viet Nguyen, Viet Quoc Tran, Duy Khanh Tran, Luan Duy Phan, Sang Minh Pham, Binh Thai Pham, Chien Vo Duc, Ha Minh Nguyen, Dung Ngoc Thi Nguyen, Ngoc Van Tran, Son Truong Pham, Camelia Queck, Kieu Diem Cao Nguyen, Francesco Inchingolo, Raffaele Del Prete, Nam Hai Dinh Nguyen, Luigi Santacroce, Ciro Gargiulo Isacco
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1364 (2023)
Shortly after its emergence, Omicron and its sub-variants have quickly replaced the Delta variant during the current COVID-19 outbreaks in Vietnam and around the world. To enable the rapid and timely detection of existing and future variants for epid
Externí odkaz:
https://doaj.org/article/7eafb5ea1e6e450d98fbd10ec1e904f6
Autor:
Nguyen Van Dung, Nguyen Hieu, Tran Van Phong, Mahdis Amiri, Romulus Costache, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 1688-1714 (2021)
In this study, two novel hybrid models namely Bagging-based Rough Set (BRS) and AdaBoost-based Rough Set (ABRS) were used to generate landslide susceptibility maps of Son La hydropower reservoir basin, Vietnam. In total, 186 past landslide events and
Externí odkaz:
https://doaj.org/article/369160cc44444f8ca466e71136a924de
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 232, Iss , Pp 113271- (2022)
This study evaluates state-of-the-art machine learning models in predicting the most sustainable arsenic mitigation preference. A Gaussian distribution-based Naïve Bayes (NB) classifier scored the highest Area Under the Curve (AUC) of the Receiver O
Externí odkaz:
https://doaj.org/article/f317462d50b24342a7848609cea70a16
Autor:
Nguyen Duc Dam, Mahdis Amiri, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham
Publikováno v:
Advances in Civil Engineering, Vol 2022 (2022)
Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are different methods for predicting landslide susceptibility, the bivariate statistical analysi
Externí odkaz:
https://doaj.org/article/d0dc9de60a8e43beb2542ba236826713
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0262930 (2022)
This study aims to investigate the influence of all the mixture components of high-performance concrete (HPC) on its early compressive strength, ranging from 1 to 14 days. To this purpose, a Gaussian Process Regression (GPR) algorithm was first const
Externí odkaz:
https://doaj.org/article/9d3e3b31c1f84eb4831f36c874b6a0af