Search Results - "Pham Van, Manh"
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Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
Published in Journal of hydrology (Amsterdam) (01-02-2020)“…•Examination of hybrid models that combine several swarm intelligenceoptimizers with deep learning neural network.•Comparison of performance of proposed models…”
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Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system
Published in PloS one (21-05-2020)“…Advances in earth observation and machine learning techniques have created new options for forest monitoring, primarily because of the various possibilities…”
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U-Net Convolutional Networks for Mining Land Cover Classification Based on High-Resolution UAV Imagery
Published in IEEE access (2020)“…Mining activities are the leading cause of deforestation, land-use changes, and pollution. Land use/cover mapping in Vietnam every five years is not useful to…”
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Convolutional Neural Network-Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis
Published in IEEE access (2020)“…Convolutional neural network (CNN) is a widely used method in solving classification and regression applications in industries, engineering, and science. This…”
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Gradient Boosting Machine and Object-Based CNN for Land Cover Classification
Published in Remote sensing (Basel, Switzerland) (01-07-2021)“…In regular convolutional neural networks (CNN), fully-connected layers act as classifiers to estimate the probabilities for each instance in classification…”
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Urbanization impact on landscape patterns in cultural heritage preservation sites: a case study of the complex of Huế Monuments, Vietnam
Published in Landscape ecology (01-04-2021)“…Context The late 20th and early twenty-first centuries saw massive urbanizations across the world, leading considerate changes in land-cover/land-use, and…”
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Swarm‐based optimizer for convolutional neural network: An application for flood susceptibility mapping
Published in Transactions in GIS (01-04-2021)“…This article investigates the use of the galactic swarm optimization algorithm in searching for parameters of a convolutional neural network for flood…”
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Hybrid machine learning models for aboveground biomass estimations
Published in Ecological informatics (01-03-2024)“…Forest biomass provides a quantitative assessment for carbon stock marketing on a national or regional scale. Some countries have committed to net zero carbon…”
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Quantitative assessment of urbanization and impacts in the complex of Huế Monuments, Vietnam
Published in Applied geography (Sevenoaks) (01-11-2019)“…Rapid and extensive urban changes in recent decades have inflicted a multitude of challenges in land-use planning and conservation management, especially for…”
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Effect of Repetitive Passive Movement Before Motor Skill Training on Corticospinal Excitability and Motor Learning Depend on BDNF Polymorphisms
Published in Frontiers in human neuroscience (05-02-2021)“…A decrease in cortical excitability tends to be easily followed by an increase induced by external stimuli via a mechanism aimed at restoring it; this…”
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The four-domain structure model of a depression scale for medical students: A cross-sectional study in Haiphong, Vietnam
Published in PloS one (22-03-2018)“…Depression is a common mental health problem with a higher prevalence in medical students than in the general population. This study aims to investigate the…”
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Flood susceptibility mapping using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam
Published in Acta geophysica (01-12-2022)“…Flooding is currently the most dangerous natural hazard. It can have heavy human and material impacts and, in recent years, flooding has tended to occur more…”
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13
Numerical simulation of localized quasi-brittle fracture with an enhanced bi-energy norm based equivalent strain
Published in Engineering fracture mechanics (04-08-2023)“…This paper presents an improved local continuum damage model for quasi-brittle fracture analysis. A local damage model, as compared to its non-local damage…”
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14
Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System: a hybrid method for feature selection and land pattern classification
Published in International journal of remote sensing (03-07-2019)“…Adaptive Neuro-Fuzzy Inference System (ANFIS) is a robust method in solving non-linear classification by employing a human-readable interpretation manner. This…”
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Self-compassion and Students' Well-Being Among Vietnamese Students: Chain Mediation Effect of Narcissism and Anxiety
Published in Journal of rational-emotive and cognitive-behavior therapy (01-09-2022)“…The positive psychology that increases mental health is referred to "health assets." Among those assets, self-compassion (SC) and students' well-being (PW) are…”
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Assessing surface water pollution in Hanoi, Vietnam, using remote sensing and machine learning algorithms
Published in Environmental science and pollution research international (01-07-2023)“…Rapid urbanization led to significant land-use changes and posed threats to surface water bodies worldwide, especially in the Global South. Hanoi, the capital…”
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Flood inundation assessment of UNESCO World Heritage Sites using remote sensing and spatial metrics in Hoi An City, Vietnam
Published in Ecological informatics (01-03-2024)“…Flooding is the most frequent and damaging threat to The United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage Sites, and…”
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The Role of Self-Compassion on Psychological Well-Being and Life Satisfaction of Vietnamese Undergraduate Students During the COVID-19 Pandemic: Hope as a Mediator
Published in Journal of rational-emotive and cognitive-behavior therapy (01-03-2024)“…The simultaneous occurrence of the COVID-19 pandemic and the transition to adulthood have posed particular obstacles to university students’ mental health…”
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Understanding spatial variations of malaria in Vietnam using remotely sensed data integrated into GIS and machine learning classifiers
Published in Geocarto international (15-10-2019)“…This study examines the potentials of remotely sensed data, GIS and some machine learning classifiers and ensemble techniques in the investigation of the…”
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Changes in excitability and GABAergic neuronal activity of the primary somatosensory cortex after motor learning
Published in Frontiers in neuroscience (20-09-2022)“…IntroductionIt is widely known that motor learning changes the excitability of the primary motor cortex. More recently, it has been shown that the primary…”
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