Namal Rathnayake

According to our database, Namal Rathnayake authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Performance verification and latency time evaluation of hardware image processing module for appearance inspection systems using FPGA.

Yukinobu Hoshino, Masahiro Shimasaki, Namal Rathnayake, Tuan Linh Dang

J. Real Time Image Process., February, 2024

2023

Cascaded-ANFIS to simulate nonlinear rainfall-runoff relationship.

Namal Rathnayake, Upaka Rathnayake, Imiya Chathuranika, Tuan Linh Dang, Yukinobu Hoshino

Appl. Soft Comput., November, 2023

Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka.

Madhawa R. Herath, Tharaka Jayathilaka, Hazi Mohammad Azamathulla, Vishwanadham Mandala, Namal Rathnayake, Upaka Rathnayake

Sensors, April, 2023

Age Classification of Rice Seeds in Japan Using Gradient-Boosting and ANFIS Algorithms.

Namal Rathnayake, Akira Miyazaki, Tuan Linh Dang, Yukinobu Hoshino

Sensors, March, 2023

Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka.

Namal Rathnayake, Upaka Rathnayake, Imiya Chathuranika, Tuan Linh Dang, Yukinobu Hoshino

IEEE Access, 2023

2022

Rainfall Runoff.

Namal Rathnayake

Dataset, October, 2022

An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS Algorithm.

Namal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

Sensors, 2022

A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower Forecasting.

Namal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

Sensors, 2022

Brain Activity Associated with the Planning Process during the Long-Time Learning of the Tower of Hanoi (ToH) Task: A Pilot Study.

Keita Mitani, Namal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

Sensors, 2022

Designing and Implementation of Novel Ensemble model based on ANFIS and Gradient Boosting methods for Hand Gestures Classification.

Namal Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A comparative study for COVID-19 cases forecasting with loss function as AIC and MSE in RNN family and ARIMA.

Naoki Dohi, Namal Rathnayake, Yukinobu Hoshino

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

2021

A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy Inference System.

Namal Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

Int. J. Fuzzy Syst., 2021

Performance Comparison of the ANFIS based Quad-Copter Controller Algorithms.

Namal Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Classification of Human Emotions using Ensemble Classifier by Analysing EEG Signals.

Lakindu Induwara Mampitiya, Rizma Nalmi, Namal Rathnayake

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021