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Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river

Advances in water resources, 2020-08, Vol.142, p.103656, Article 103656

2020

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Dynamic time warping-based imputation for univariate time series data

Pattern recognition letters, 2020-11, Vol.139, p.139-147

2020

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Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition

Soft computing (Berlin, Germany), 2023-05, Vol.27 (9), p.5873-5892

2023

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Monitoring Water Quality in Lien Son Irrigation System of Vietnam and Identification of Potential Pollution Sources by Using Multivariate Analysis

Water, air, and soil pollution, 2021-05, Vol.232 (5), Article 187

2021

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A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series

Applied Computational Intelligence and Soft Computing, 2018-01, Vol.2018, p.1-15

2018

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A Novel Convolutional Neural Network Architecture for Pollen-Bearing Honeybee Recognition

International journal of advanced computer science & applications, 2023, Vol.14 (8)

2023

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eDTWBI: Effective Imputation Method for Univariate Time Series

Advanced Computational Methods for Knowledge Engineering, 2019, Vol.1121, p.121-132

2019

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Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system

Ecological informatics, 2023-05, Vol.74, p.101991, Article 101991

2023

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A deep learning-based approach for bee sound identification

Ecological informatics, 2023-12, Vol.78, p.102274, Article 102274

2023

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Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques

Ecological informatics, 2024-09, Vol.82, p.102744, Article 102744

2024

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A novel method for identifying rice seed purity using hybrid machine learning algorithms

Heliyon, 2024-07, Vol.10 (14), p.e33941, Article e33941

2024

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Genetic Programming for Bee Audio Classification

Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023, p.246-250

2023

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Comparative Study on Vision Based Rice Seed Varieties Identification

2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), 2015, p.377-382

2015

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Comparative Study on Univariate Forecasting Methods for Meteorological Time Series

2018 26th European Signal Processing Conference (EUSIPCO), 2018, p.2380-2384

2018

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Comparative study on supervised learning methods for identifying phytoplankton species

2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), 2016, p.283-288

2016

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An Ensemble Approach to Graph Layout for Movie Poster Similarity Visualization

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, p.838-843

2023

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Machine Learning for Univariate Time Series Imputation

2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2020, p.1-6

Phan, Thi-Thu-Hong

2020

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A Robust Multiple Honeybee Tracking Method from Videos Captured at Beehive Entrance

2023 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2023, p.1-6

2023

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Matrix Factorization-Based Unify Multiple Interactions for Cross-Domain Recommendation Services

2023 RIVF International Conference on Computing and Communication Technologies (RIVF), 2023, p.148-152

2023

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The Use of Machine Learning Algorithms for Evaluating Water Quality Index: A Survey and Perspective

2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2022, p.1-6

2022

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Evaluating Audio Feature Extraction Methods for Identifying Bee Queen Presence

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, p.93-100

2023

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Investigating Ensemble Learning Methods for Predicting Water Quality Index

Intelligence of Things: Technologies and Applications, p.3-12

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Which DTW method applied to marine univariate time series imputation

OCEANS 2017 - Aberdeen, 2017, p.1-7

2017

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Investigating YOLO Models for Rice Seed Classification

The 12th Conference on Information Technology and Its Applications, p.181-192

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A Comparison of Deep Learning Models for Predicting Calcium Deficiency Stage in Tomato Fruits

Intelligent Systems and Networks, 2023, Vol.752, p.648-657

2023

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Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river

Dynamic time warping-based imputation for univariate time series data

Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition

Monitoring Water Quality in Lien Son Irrigation System of Vietnam and Identification of Potential Pollution Sources by Using Multivariate Analysis

A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series

A Novel Convolutional Neural Network Architecture for Pollen-Bearing Honeybee Recognition

eDTWBI: Effective Imputation Method for Univariate Time Series

Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system

A deep learning-based approach for bee sound identification

Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques

A novel method for identifying rice seed purity using hybrid machine learning algorithms

Genetic Programming for Bee Audio Classification

Comparative Study on Vision Based Rice Seed Varieties Identification

Comparative Study on Univariate Forecasting Methods for Meteorological Time Series

Comparative study on supervised learning methods for identifying phytoplankton species

An Ensemble Approach to Graph Layout for Movie Poster Similarity Visualization

Machine Learning for Univariate Time Series Imputation

A Robust Multiple Honeybee Tracking Method from Videos Captured at Beehive Entrance

Matrix Factorization-Based Unify Multiple Interactions for Cross-Domain Recommendation Services

The Use of Machine Learning Algorithms for Evaluating Water Quality Index: A Survey and Perspective

Evaluating Audio Feature Extraction Methods for Identifying Bee Queen Presence

Investigating Ensemble Learning Methods for Predicting Water Quality Index

Which DTW method applied to marine univariate time series imputation

Investigating YOLO Models for Rice Seed Classification

A Comparison of Deep Learning Models for Predicting Calcium Deficiency Stage in Tomato Fruits

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