| OBJECT TRACKING USING IMPROVED DEEP SORT YOLOV3 ARCHITECTURE TL Dang, GT Nguyen, T Cao ICIC Express Letters 14 (10), 961-969, 2020 | 39 | 2020 |
| 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 | 34 | 2021 |
| 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 | 25 | 2019 |
| 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 | 20 | 2022 |
| A cascaded adaptive network-based fuzzy inference system for hydropower forecasting N Rathnayake, U Rathnayake, TL Dang, Y Hoshino Sensors 22 (8), 2905, 2022 | 20 | 2022 |
| 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 | 19 | 2019 |
| 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 | 18 | 2022 |
| 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 | 17 | 2023 |
| Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship N Rathnayake, U Rathnayake, I Chathuranika, TL Dang, Y Hoshino Applied Soft Computing 147, 110722, 2023 | 16 | 2023 |
| 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 | 15 | 2023 |
| 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 | 11 | 2022 |
| 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 | 10 | 2014 |
| 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 | 7 | 2024 |
| 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 | 7 | 2022 |
| 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 | 7 | 2019 |
| 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 | 7 | 2017 |
| 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 | 7 | 2016 |
| A lightweight architecture for hand gesture recognition TL Dang, TH Pham, QM Dang, N Monet Multimedia Tools and Applications 82 (18), 28569-28587, 2023 | 6 | 2023 |
| 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 | 5 | 2021 |
| 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 | 3 | 2023 |
