Search Results - "Pham Van, Manh"

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  1. 1

    Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping by Bui, Quang-Thanh, Nguyen, Quoc-Huy, Nguyen, Xuan Linh, Pham, Vu Dong, Nguyen, Huu Duy, Pham, Van-Manh

    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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    Journal Article
  2. 2

    Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system by Pham, Minh Hai, Do, Thi Hoai, Pham, Van-Manh, Bui, Quang-Thanh

    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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  3. 3

    U-Net Convolutional Networks for Mining Land Cover Classification Based on High-Resolution UAV Imagery by Giang, Tuan Linh, Dang, Kinh Bac, Toan Le, Quang, Nguyen, Vu Giang, Tong, Si Son, Pham, Van-Manh

    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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  4. 4

    Convolutional Neural Network-Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis by Pham, Vu Dong, Nguyen, Quoc-Huy, Nguyen, Huu-Duy, Pham, Van-Manh, Vu, Van Manh, Bui, Quang-Thanh

    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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  5. 5

    Gradient Boosting Machine and Object-Based CNN for Land Cover Classification by Bui, Quang-Thanh, Chou, Tien-Yin, Hoang, Thanh-Van, Fang, Yao-Min, Mu, Ching-Yun, Huang, Pi-Hui, Pham, Vu-Dong, Nguyen, Quoc-Huy, Anh, Do Thi Ngoc, Pham, Van-Manh, Meadows, Michael E.

    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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  6. 6

    Urbanization impact on landscape patterns in cultural heritage preservation sites: a case study of the complex of Huế Monuments, Vietnam by Pham, Van-Manh, Van Nghiem, Son, Van Pham, Cu, Luu, Mai Phuong Thi, Bui, Quang-Thanh

    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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  7. 7

    Swarm‐based optimizer for convolutional neural network: An application for flood susceptibility mapping by Chou, Tien‐Yin, Hoang, Thanh‐Van, Fang, Yao‐Min, Nguyen, Quoc‐Huy, Lai, Tuan Anh, Pham, VanManh, Vu, Van‐Manh, Bui, Quang‐Thanh

    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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  8. 8

    Hybrid machine learning models for aboveground biomass estimations by Bui, Quang-Thanh, Pham, Quang-Tuan, Pham, Van-Manh, Tran, Van-Thuy, Nguyen, Dinh-Hung, Nguyen, Quoc-Huy, Nguyen, Huu-Duy, Do, Nhung Thi, Vu, Van-Manh

    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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  9. 9

    Quantitative assessment of urbanization and impacts in the complex of Huế Monuments, Vietnam by Pham, Van-Manh, Van Nghiem, Son, Bui, Quang-Thanh, Pham, Tam Minh, Van Pham, Cu

    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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  10. 10

    Effect of Repetitive Passive Movement Before Motor Skill Training on Corticospinal Excitability and Motor Learning Depend on BDNF Polymorphisms by Pham, Manh Van, Miyaguchi, Shota, Watanabe, Hiraku, Saito, Kei, Otsuru, Naofumi, Onishi, Hideaki

    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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  11. 11

    The four-domain structure model of a depression scale for medical students: A cross-sectional study in Haiphong, Vietnam by Nguyen, Thao Thi Thu, Nguyen, Ngoc Thi Minh, Pham, Manh Van, Pham, Han Van, Nakamura, Hiroyuki

    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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  12. 12

    Flood susceptibility mapping using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam by Nguyen, Huu Duy, Vu, Phương Lan, Ha, Minh Cuong, Dinh, Thi Bao Hoa, Nguyen, Thuy Hang, Hoang, Tich Phuc, Doan, Quang Cuong, Pham, Van Manh, Dang, Dinh Kha

    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. 13

    Numerical simulation of localized quasi-brittle fracture with an enhanced bi-energy norm based equivalent strain by Pham, Manh Van, Nguyen, Minh Ngoc, Bui, Tinh Quoc

    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. 14

    Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System: a hybrid method for feature selection and land pattern classification by Bui, Quang-Thanh, Pham, Manh Van, Nguyen, Quoc-Huy, Nguyen, Linh Xuan, Pham, Hai Minh

    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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  15. 15

    Self-compassion and Students' Well-Being Among Vietnamese Students: Chain Mediation Effect of Narcissism and Anxiety by Quang, Anh Minh Tran, Van Pham, Manh, Mai, Trang Truong, Le, Giang Nguyen Hoang, Song, Gia Anh Nguyen

    “…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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  16. 16

    Assessing surface water pollution in Hanoi, Vietnam, using remote sensing and machine learning algorithms by Do, Thi-Nhung, Nguyen, Diem-My Thi, Ghimire, Jiwnath, Vu, Kim-Chi, Do Dang, Lam-Phuong, Pham, Sy-Liem, Pham, Van-Manh

    “…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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  17. 17

    Flood inundation assessment of UNESCO World Heritage Sites using remote sensing and spatial metrics in Hoi An City, Vietnam by Nguyen, Diem-My Thi, Do, Thi-Nhung, Van Nghiem, Son, Ghimire, Jiwnath, Dang, Kinh-Bac, Giang, Van-Trong, Vu, Kim-Chi, Pham, Van-Manh

    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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  19. 19

    Understanding spatial variations of malaria in Vietnam using remotely sensed data integrated into GIS and machine learning classifiers by Bui, Quang-Thanh, Nguyen, Quoc-Huy, Pham, Van Manh, Pham, Minh Hai, Tran, Anh Tuan

    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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  20. 20

    Changes in excitability and GABAergic neuronal activity of the primary somatosensory cortex after motor learning by Pham, Manh Van, Saito, Kei, Miyaguchi, Shota, Watanabe, Hiraku, Ikarashi, Hitomi, Nagasaka, Kazuaki, Yokota, Hirotake, Kojima, Sho, Inukai, Yasuto, Otsuru, Naofumi, Onishi, Hideaki

    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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