Items where Author is "Vũ Văn Trường"

Viet, A.P. and Duy, D.L. and Thi, V.A.T. and Duy, H.P. and Van, T.V. and Thu, L.B. (2022) Towards An Accurate and Effective Printed Document Reader for Visually Impaired People. In: Conference of 14th International Conference on Knowledge and Systems Engineering, KSE 2022, 19 October 2022 Through 21 October 2022, Virtual, Online.

Bui, L.T. and Vu, V.T. and Pham, B.V. and Phan, V.A. (2022) A multi-population coevolutionary approach for Software defect prediction with imbalanced data. In: onference of 14th International Conference on Knowledge and Systems Engineering, KSE 2022, 19 October 2022 Through 21 October 2022, Virtual, Online.

Tran, A.T. and Nguyen, K.A. and Liou, Y.A. and Le, M.H. and Vu, V.T. and Nguyen, D.D. (2021) Classification and observed seasonal phenology of broadleaf deciduous forests in a tropical region by using multitemporal sentinel-1a and landsat 8 data. Forests, 12 (2): 235. pp. 1-21. ISSN 19994907

Tran, Q.H. and Vu, V.T. and Le, Q. and Ho, T.L.H. and Le, V.H. (2021) A Neural Network Approach for Solving Traffic-Flow Forecasting Based on the Historical Voyage Datasets: A Case Study on Hai Phong Roads. In: 3rd International Conference on Sustainability in Civil Engineering, ICSCE 2020, 26 November 2020 through 27 November 2020.

Minh, H.L. and Van, T.V. and Anh, T.T. (2020) Using dual-polarization sentinel-1A for mapping vegetation types in Daklak, Vietnam. In: 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, 14 October 2019 through 18 October 2019.

Dinh, T.T.H. and Vu, V.T. and Bui, L.T. (2020) An ensemble multi-objective particle swarm optimization approach for exchange rates forecasting problem. In: 4th International Conference on Machine Learning and Soft Computing, ICMLSC 2020, 17 January 2020 through 19 January 2020.

Van Truong, V. and Lam Thu, B. and Trung Thanh, N. (2019) A Coevolutionary approach for classification problems: Preliminary results. In: 5th NAFOSTED Conference on Information and Computer Science, NICS 2018, 23 November 2018 through 24 November 2018.

Vu, V.T. and Bui, L.T. and Nguyen, T.T. (2019) A multi-objective competitive co-evolutionary approach for classification problems. In: 6th NAFOSTED Conference on Information and Computer Science, NICS 2019, 12 December 2019 through 13 December 2019.

Vu, V.T. and Bui, L.T. and Nguyen, T.T. (2019) A multi-objective cooperative coevolutionary approach for remote sensing image classification. In: 11th International Conference on Knowledge and Systems Engineering, KSE 2019, 24 October 2019 through 26 October 2019.

Hang, L.M. and Truong, V.V. and Anh, T.V. (2018) Extraction of land use/land cover using multi-temporal sentinel-1A and Landsat integration: Case study of Hanoi. In: 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, 15 October 2018 through 19 October 2018.

Bui, L.T. and Truong Vu, V. and Huong Dinh, T.T. (2018) A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates. Data and Knowledge Engineering, 114. pp. 40-66. ISSN 0169023X

Vu, V.T. and Bui, L.T. and Nguyen, T.T. (2017) A modified dual-population approach for solving multi-objective problems. In: 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES 2017, 15 November 2017 through 17 November 2017.

Huong, D.T.T. and Van Truong, V. and Lam, B.T. (2016) Forecasting of consumer price index using the ensemble learning model with multi-objective evolutionary algorithms: Preliminary results. In: 8th International Conference on Advanced Technologies for Communications, ATC 2015, 14 October 2015 through 16 October 2015.

Minh, H.L. and Van, T.V. and Dinh, D.N. and Anh, T.T. (2016) Identification of land-cover features's phenology using multitemporal Sentinel-1 data: A case study in Hanoi, Vietnam. In: 37th Asian Conference on Remote Sensing, ACRS 2016, 17 October 2016 through 21 October 2016.

Dinh, T.T.H. and Vu, V.T. and Bui, T.L. (2016) A multi-objective ensemble learning approach based on the non-dominated sorting differential evolution for forecasting currency exchange rates. In: 8th International Conference on Knowledge and Systems Engineering, KSE 2016, 6 October 2016 through 8 October 2016.

Hang, L.M. and Truong, V.V. (2015) A combination method of differential evolution algorithm and neural network for automatic identification oil spill at Vietnam East Sea. In: 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015, 24 October 2015 through 28 October 2015.