Upaka Rathnayake

According to our database, Upaka Rathnayake authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Integrating explainable machine learning and user-centric model for diagnosing cardiovascular disease: A novel approach.

Gangani Dharmarathne, Madhusha Bogahawaththa, Upaka Rathnayake, D. P. P. Meddage

Intell. Syst. Appl., 2024

On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence.

Gangani Dharmarathne, Madhusha Bogahawaththa, Marion McAfee, Upaka Rathnayake, D. P. P. Meddage

Intell. Syst. Appl., 2024

Harnessing Technology for Mangrove Research in the Western Indian Ocean to Enhance Climate Change Resilience.

Reshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, Upaka Rathnayake, Michael Fernando

Proceedings of the Society 5.0 - 4th International Conference, 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

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

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

Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence.

D. P. P. Meddage, I. U. Ekanayake, Sumudu Herath, R. Gobirahavan, Nitin Muttil, Upaka Rathnayake

Sensors, 2022

Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka.

Helani Perera, Miyuru B. Gunathilake, Ravindu Panditharathne, Najib Al-mahbashi, Upaka Rathnayake

Appl. Comput. Intell. Soft Comput., 2022

Forecasting Electricity Power Generation of Pawan Danavi Wind Farm, Sri Lanka, Using Gene Expression Programming.

Damayanthi Herath, Jeevani W. Jayasinghe, Upaka Rathnayake

Appl. Comput. Intell. Soft Comput., 2022

2021

Forecasting Wind Power Generation Using Artificial Neural Network: "Pawan Danawi" - A Case Study from Sri Lanka.

Amila T. Peiris, Jeevani W. Jayasinghe, Upaka Rathnayake

J. Electr. Comput. Eng., 2021

Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka.

Miyuru B. Gunathilake, Chamaka Karunanayake, Niranga Marasingha, Jayanga T. Samarasinghe, Isuru M. Bandara, Upaka Rathnayake

Appl. Comput. Intell. Soft Comput., 2021

2020

Comparison of Statistical, Graphical, and Wavelet Transform Analyses for Rainfall Trends and Patterns in Badulu Oya Catchment, Sri Lanka.

Ashika M. Ruwangika, Anushka Perera, Upaka Rathnayake

Complex., 2020

Inflow Forecast of Iranamadu Reservoir, Sri Lanka, under Projected Climate Scenarios Using Artificial Neural Networks.

Chamaka Karunanayake, Miyuru B. Gunathilake, Upaka Rathnayake

Appl. Comput. Intell. Soft Comput., 2020