Search

Your search keyword '"Tien Dat Pham"' showing total 12 results
Start Over Author "Tien Dat Pham" Publisher informa uk limited
12 results on '"Tien Dat Pham"'

6. Feature selection based reverse design of doubly reinforced concrete beams

Author

Tien Dat Pham, Won Kee Hong, and Van Tien Nguyen

Subjects
Cultural Studies, Scheme (programming language), Sequence, Artificial neural network, Computer science, Astrophysics::High Energy Astrophysical Phenomena, Computer Science::Neural and Evolutionary Computation, 0211 other engineering and technologies, 021107 urban & regional planning, Feature selection, 02 engineering and technology, Building and Construction, Reinforced concrete, Computer Science::Performance, Computer Science::Emerging Technologies, Arts and Humanities (miscellaneous), 021105 building & construction, Architecture, computer, Algorithm, Civil and Structural Engineering, computer.programming_language
Abstract

Chained Training Scheme (CTS) and Chained training scheme with Revised Sequence (CRS) were proposed to train artificial neural networks (ANNs) to design doubly reinforced concrete (RC) beams. CRS a...

Published
2021

7. The use of radar and optical satellite imagery combined with advanced machine learning and metaheuristic optimization techniques to detect and quantify above ground biomass of intertidal seagrass in a New Zealand estuary

Author

Merilyn Manley-Harris, Nam Thang Ha, Tien Dat Pham, and Ian Hawes

Subjects
geography, Biomass (ecology), geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, biology, 0211 other engineering and technologies, Intertidal zone, Estuary, 02 engineering and technology, biology.organism_classification, 01 natural sciences, law.invention, Ecosystem services, Seagrass, Habitat, law, General Earth and Planetary Sciences, Environmental science, Satellite imagery, Radar, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing
Abstract

Seagrass provides numerous valuable ecosystem services across a wide range of climatic regions. However, in terms of area and habitat, this resource is in decline globally and there is an urgent ne...

Published
2021

8. Investigation of Strain Evolutions in Prestressed Reinforced Concrete Beams Based on Nonlinear Finite Element Analyses Considering Concrete Plasticity and Concrete Damaged Plasticity

Author

Tien Dat Pham and Won-Kee Hong

Subjects
Cultural Studies, Materials science, Strain (chemistry), business.industry, 0211 other engineering and technologies, Numerical modeling, 021107 urban & regional planning, 02 engineering and technology, Building and Construction, Structural engineering, Plasticity, Reinforced concrete, Nonlinear finite element analysis, Arts and Humanities (miscellaneous), 021105 building & construction, Architecture, Damping factor, business, Civil and Structural Engineering
Abstract

This study provided an investigation of strain evolutions in bonded and unbonded prestressed reinforced concrete beams via nonlinear finite element analyses considering concrete plasticity and conc...

Published
2021

9. Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach

Author

Naoto Yokoya, Nga Nhu Le, Junshi Xia, Tien Dat Pham, Wataru Takeuchi, Thi Thu Trang Nguyen, Nam Thang Ha, and Tien Duc Pham

Subjects
Estimation, 010504 meteorology & atmospheric sciences, Agroforestry, Soil carbon stocks, 0211 other engineering and technologies, chemistry.chemical_element, 02 engineering and technology, 01 natural sciences, Carbon cycle, chemistry, Greenhouse gas, General Earth and Planetary Sciences, Environmental science, Mangrove, Mangrove ecosystem, Carbon, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract

Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large...

Published
2020

10. Vietnamese Consumers’ Willingness to Pay for Safe Pork in Hanoi

Author

Hao Thi Nguyen, Quoc Chinh Nguyen, Tien Dat Pham, and Amon Ngasha Kabango

Subjects
Marketing, Food hygiene, 0303 health sciences, 030309 nutrition & dietetics, business.industry, Vietnamese, 05 social sciences, MathematicsofComputing_GENERAL, Food safety, language.human_language, 03 medical and health sciences, Human health, Willingness to pay, Order (business), 0502 economics and business, language, 050211 marketing, Business and International Management, business, ComputingMilieux_MISCELLANEOUS, Food Science
Abstract

Food safety is one of the main concerns and the biggest challenge for consumers due to its direct influence on human health. In order to deal with unsafe food situation, the demand for food hygiene...

Published
2018

11. Estimating aboveground biomass of a mangrove plantation on the Northern coast of Vietnam using machine learning techniques with an integration of ALOS-2 PALSAR-2 and Sentinel-2A data

Author

Nga Nhu Le, Kunihiko Yoshino, Tien Dat Pham, and Dieu Tien Bui

Subjects
010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, Climate change, Forestry, 02 engineering and technology, 01 natural sciences, Carbon cycle, Greenhouse gas, General Earth and Planetary Sciences, Environmental science, Mangrove, Aboveground biomass, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract

Aboveground biomass (AGB) of mangrove forest plays a crucial role in global carbon cycle by reducing greenhouse gas emissions and mitigating climate change impacts. Monitoring mangrove forests biom...

Published
2018

12. Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks

Author

Kunihiko Yoshino, Tien Dat Pham, and Dieu Tien Bui

Subjects
010504 meteorology & atmospheric sciences, Artificial neural network, biology, 0211 other engineering and technologies, Sampling (statistics), 02 engineering and technology, Sonneratia caseolaris, Perceptron, biology.organism_classification, 01 natural sciences, Random forest, Support vector machine, Geography, Multilayer perceptron, General Earth and Planetary Sciences, Satellite imagery, Cartography, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing
Abstract

This study tested the use of machine learning techniques for the estimation of above-ground biomass (AGB) of Sonneratia caseolaris in a coastal area of Hai Phong city, Vietnam. We employed a GIS database and multi-layer perceptron neural networks (MLPNN) to build and verify an AGB model, drawing upon data from a survey of 1508 mangrove trees in 18 sampling plots and ALOS-2 PALSAR imagery. We assessed the model’s performance using root-mean-square error, mean absolute error, coefficient of determination (R2), and leave-one-out cross-validation. We also compared the model’s usability with four machine learning techniques: support vector regression, radial basis function neural networks, Gaussian process, and random forest. The MLPNN model performed well and outperformed the machine learning techniques. The MLPNN model-estimated AGB ranged between 2.78 and 298.95 Mg ha−1 (average = 55.8 Mg ha−1); below-ground biomass ranged between 4.06 and 436.47 Mg ha−1 (average = 81.47 Mg ha−1), and total carbon stock ran...

Published
2016

Catalog

Books, media, physical & digital resources
See catalog results