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Tuan Linh DANG
Tuan Linh DANG
Verified email at soict.hust.edu.vn - Homepage
Title
Cited by
Cited by
Year
OBJECT TRACKING USING IMPROVED DEEP SORT YOLOV3 ARCHITECTURE
TL Dang, GT Nguyen, T Cao
ICIC Express Letters 14 (10), 961-969, 2020
392020
A novel optimization algorithm: Cascaded adaptive neuro-fuzzy inference system
N Rathnayake, TL Dang, Y Hoshino
International Journal of Fuzzy Systems 23 (7), 1955-1971, 2021
352021
Hardware/software co-design for a neural network trained by particle swarm optimization algorithm
TL Dang, Y Hoshino
Neural processing letters 49 (2), 481-505, 2019
252019
A cascaded adaptive network-based fuzzy inference system for hydropower forecasting
N Rathnayake, U Rathnayake, TL Dang, Y Hoshino
Sensors 22 (8), 2905, 2022
222022
An improved hand gesture recognition system using keypoints and hand bounding boxes
TL Dang, SD Tran, TH Nguyen, S Kim, N Monet
Array 16, 100251, 2022
202022
Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka
N Rathnayake, U Rathnayake, I Chathuranika, TL Dang, Y Hoshino
IEEE Access 11, 8920-8937, 2023
192023
An efficient automatic fruit-360 image identification and recognition using a novel modified cascaded-ANFIS algorithm
N Rathnayake, U Rathnayake, TL Dang, Y Hoshino
Sensors 22 (12), 4401, 2022
192022
CLASSIFICATION OF METAL OBJECTS USING DEEP NEURAL NETWORKS IN WASTE PROCESSING LINE
TL Dang, T Cao, Y Hoshino
International Journal of Innovative Computing, Information and Control 15 (5 …, 2019
192019
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship
N Rathnayake, U Rathnayake, I Chathuranika, TL Dang, Y Hoshino
Applied Soft Computing 147, 110722, 2023
162023
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka
N Rathnayake, U Rathnayake, TL Dang, Y Hoshino
Plos one 18 (4), e0282847, 2023
152023
Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive …
RK Makumbura, L Mampitiya, N Rathnayake, DPP Meddage, S Henna, ...
Results in Engineering 23, 102831, 2024
122024
SHAPE: a dataset for hand gesture recognition
TL Dang, HT Nguyen, DM Dao, HV Nguyen, DL Luong, BT Nguyen, S Kim, ...
Neural Computing and Applications 34 (24), 21849-21862, 2022
112022
Development of facial expression recognition for training video customer service representatives
LT Dang, EW Cooper, K Kamei
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1297-1303, 2014
112014
Brain activity associated with the planning process during the long-time learning of the tower of hanoi (ToH) task: A pilot study
K Mitani, N Rathnayake, U Rathnayake, TL Dang, Y Hoshino
Sensors 22 (21), 8283, 2022
72022
Improved PSO Algorithm for Training of Neural Network in Co-design Architecture
TL Dang, Y Hoshino
International Journal of Computer Applications 182 (44), 1-7, 2019
72019
A proposed PSOseed2 algorithm for training hardware-based and software-based neural networks
TL Dang, T Cao, Y Hoshino
International Journal of Innovative Computing Information and Control 13 (4 …, 2017
72017
An-FPGA based classification system by using a neural network and an improved particle swarm optimization algorithm
TL Dang, Y Hoshino
2016 Joint 8th International Conference on Soft Computing and Intelligent …, 2016
72016
A lightweight architecture for hand gesture recognition
TL Dang, TH Pham, QM Dang, N Monet
Multimedia Tools and Applications 82 (18), 28569-28587, 2023
62023
Performance comparison of the ANFIS based quad-copter controller algorithms
N Rathnayake, TL Dang, Y Hoshino
2021 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), 1-8, 2021
52021
Age classification of rice seeds in japan using gradient-boosting and anfis algorithms
N Rathnayake, A Miyazaki, TL Dang, Y Hoshino
Sensors 23 (5), 2828, 2023
32023
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Articles 1–20