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Upaka Rathnayake

Showing results (1-10 of 24) with videos related to

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Methodsx|December 13, 2024
Performance of machine learning models to forecast PM10 levelsLakindu Mampitiya, Namal Rathnayake, Yukinobu Hoshino, et al.
Ecotoxicology and Environmental Safety|October 30, 2021
A new hybrid fuzzy time series model with an application to predict PM<sub>10</sub> concentrationYousif Alyousifi, Mahmod Othman, Abdullah Husin, et al.
Sensors (Basel, Switzerland)|June 24, 2022
An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS AlgorithmNamal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, et al.
Plos One|April 26, 2023
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri LankaNamal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, et al.
Data in Brief|April 16, 2024
Dataset used to develop soft computing models that predict the stiffness modulus of bituminous mixturesLee P Leon, Hector Martin, Upaka Rathnayake, et al.
Sensors (Basel, Switzerland)|April 23, 2022
A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower ForecastingNamal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, et al.
Plos One|December 26, 2024
Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approachSherin Kularathne, Amanda Perera, Namal Rathnayake, et al.
Plos One|June 21, 2024
Impact of economic indicators on rice production: A machine learning approach in Sri LankaSherin Kularathne, Namal Rathnayake, Madhawa Herath, et al.
Heliyon|October 9, 2023
Frequency and trend analyses of annual peak discharges in the Lower Mekong BasinUttam Pawar, Sophal Try, Nitin Muttil, et al.
Scientific Reports|March 24, 2024
Mangrove mapping and monitoring using remote sensing techniques towards climate change resilienceReshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Methodsx|December 13, 2024
Performance of machine learning models to forecast PM10 levelsLakindu Mampitiya, Namal Rathnayake, Yukinobu Hoshino, et al.
Ecotoxicology and Environmental Safety|October 30, 2021
A new hybrid fuzzy time series model with an application to predict PM<sub>10</sub> concentrationYousif Alyousifi, Mahmod Othman, Abdullah Husin, et al.
Sensors (Basel, Switzerland)|June 24, 2022
An Efficient Automatic Fruit-360 Image Identification and Recognition Using a Novel Modified Cascaded-ANFIS AlgorithmNamal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, et al.
Plos One|April 26, 2023
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri LankaNamal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, et al.
Data in Brief|April 16, 2024
Dataset used to develop soft computing models that predict the stiffness modulus of bituminous mixturesLee P Leon, Hector Martin, Upaka Rathnayake, et al.
Sensors (Basel, Switzerland)|April 23, 2022
A Cascaded Adaptive Network-Based Fuzzy Inference System for Hydropower ForecastingNamal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, et al.
Plos One|December 26, 2024
Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approachSherin Kularathne, Amanda Perera, Namal Rathnayake, et al.
Plos One|June 21, 2024
Impact of economic indicators on rice production: A machine learning approach in Sri LankaSherin Kularathne, Namal Rathnayake, Madhawa Herath, et al.
Heliyon|October 9, 2023
Frequency and trend analyses of annual peak discharges in the Lower Mekong BasinUttam Pawar, Sophal Try, Nitin Muttil, et al.
Scientific Reports|March 24, 2024
Mangrove mapping and monitoring using remote sensing techniques towards climate change resilienceReshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, et al.
Pageof 3