Theo dõi
Namal Rathnayake
Namal Rathnayake
Tên khácRMN Bandara, N Rathnayake, R Rathnayake
University of Tokyo
Email được xác minh tại hydra.t.u-tokyo.ac.jp - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Machine learning techniques to predict the air quality using meteorological data in two urban areas in Sri Lanka
L Mampitiya, N Rathnayake, LP Leon, V Mandala, HM Azamathulla, ...
Environments 10 (8), 141, 2023
382023
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
362021
Efficient and low-cost skin cancer detection system implementation with a comparative study between traditional and CNN-based models
LI Mampitiya, N Rathnayake, S De Silva
Journal of Computational and Cognitive Engineering 2 (3), 226-235, 2023
272023
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
242023
A cascaded adaptive network-based fuzzy inference system for hydropower forecasting
N Rathnayake, U Rathnayake, TL Dang, Y Hoshino
Sensors 22 (8), 2905, 2022
242022
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
222022
Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship
N Rathnayake, U Rathnayake, I Chathuranika, TL Dang, Y Hoshino
Applied Soft Computing 147, 110722, 2023
202023
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
202023
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
182024
Sensitivity analysis of parameters affecting wetland water levels: A study of flood detention basin, Colombo, Sri Lanka
M Herath, T Jayathilaka, HM Azamathulla, V Mandala, N Rathnayake, ...
Sensors 23 (7), 3680, 2023
182023
Fuzzy logic controller design for an Unmanned Aerial Vehicle
RMN Bandara, S Gaspe
2016 IEEE International Conference on Information and Automation for …, 2016
152016
Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10
L Mampitiya, N Rathnayake, Y Hoshino, U Rathnayake
Journal of Hazardous Materials Advances 13, 100395, 2024
112024
Spatial mapping and analysis of forest fire risk areas in Sri Lanka–Understanding environmental significance
RK Makumbura, P Dissanayake, MB Gunathilake, N Rathnayake, ...
Case Studies in Chemical and Environmental Engineering 9, 100680, 2024
102024
A comparison of fuzzy logic controller and pid controller for differential drive wall-following mobile robot
R Ratnayake, TS De Silva, CJ Rodrigo
2019 14th Conference on Industrial and Information Systems (ICIIS), 523-528, 2019
102019
Artificial intelligence to predict soil temperatures by development of novel model
L Mampitiya, K Rozumbetov, N Rathnayake, V Erkudov, A Esimbetov, ...
Scientific Reports 14 (1), 9889, 2024
92024
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
92022
In-depth simulation of rainfall–runoff relationships using machine learning methods
M Fuladipanah, A Shahhosseini, N Rathnayake, HM Azamathulla, ...
Water Practice & Technology 19 (6), 2442-2459, 2024
82024
Classification of human emotions using ensemble classifier by analysing EEG signals
LI Mampitiya, R Nalmi, N Rathnayake
2021 IEEE Third International Conference On Cognitive Machine Intelligence …, 2021
72021
An efficient approach towards image stitching in aerial images
R Rathnayake, L Seneviratne
2018 3rd International Conference on Information Technology Research (ICITR …, 2018
72018
Performance of machine learning models to forecast PM10 levels
L Mampitiya, N Rathnayake, Y Hoshino, U Rathnayake
MethodsX 12, 102557, 2024
62024
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