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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.
Data in Brief|January 16, 2024
Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and TobagoAaron Anil Chadee, Chamari Allis, Upaka Rathnayake, et al.
Data in Brief|August 19, 2024
Enhancing intermediate temperature fracture resistance of stone matrix asphalt with untreated recycled concrete aggregate-Experimental datasetLee P Leon, Jovanca Smith, Hector Martin
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.
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.
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