Search Results - D.P.P. Meddage

  • Showing 1 - 20 results of 20
Refine Results
  1. 1

    A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP) by I.U. Ekanayake, D.P.P. Meddage, Upaka Rathnayake

    Published in Case Studies in Construction Materials (2022-06-01)
    Get full text
    Article


  2. 2

    Integrating explainable machine learning and user-centric model for diagnosing cardiovascular disease: A novel approach by Gangani Dharmarathne, Madhusha Bogahawaththa, Upaka Rathnayake, D.P.P. Meddage

    Published in Intelligent Systems with Applications (2024-09-01)
    Get full text
    Article


  3. 3

    A novel machine learning approach for diagnosing diabetes with a self-explainable interface by Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa, D.P.P. Meddage, Upaka Rathnayake

    Published in Healthcare Analytics (2024-06-01)
    Get full text
    Article


  4. 4

    A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques by P. Thisovithan, Harinda Aththanayake, D.P.P. Meddage, I.U. Ekanayake, Upaka Rathnayake

    Published in Results in Engineering (2023-09-01)
    Get full text
    Article


  5. 5

    Explainable machine learning-based prediction of blast loads on structural surfaces in two-dimensional spatial coordinates by C. Widanage, D. Mohotti, C.K. Lee, D.P.P. Meddage, K. Wijesooriya

    Published in Results in Engineering (2025-06-01)
    Get full text
    Article


  6. 6

    On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence by Gangani Dharmarathne, Madhusha Bogahawaththa, Marion McAfee, Upaka Rathnayake, D.P.P. Meddage

    Published in Intelligent Systems with Applications (2024-06-01)
    Get full text
    Article


  7. 7

    A Simplified Mathematical Formulation for Water Quality Index (WQI): A Case Study in the Kelani River Basin, Sri Lanka by Randika Makubura, D. P. P. Meddage, Hazi Md. Azamathulla, Manish Pandey, Upaka Rathnayake

    Published in Fluids (2022-04-01)
    Get full text
    Article


  8. 8

    Adapting cities to the surge: A comprehensive review of climate-induced urban flooding by Gangani Dharmarathne, A.O. Waduge, Madhusha Bogahawaththa, Upaka Rathnayake, D.P.P. Meddage

    Published in Results in Engineering (2024-06-01)
    Get full text
    Article


  9. 9

    A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

    Published in Results in Engineering (2025-06-01)
    Get full text
    Article


  10. 10

    Influence of Crumb Rubber and Coconut Coir on Strength and Durability Characteristics of Interlocking Paving Blocks by Sajani Gamage, Sandini Palitha, D. P. P. Meddage, Shayani Mendis, Hazi Md. Azamathulla, Upaka Rathnayake

    Published in Buildings (2022-07-01)
    Get full text
    Article


  11. 11

    Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence by D. P. P. Meddage, I. U. Ekanayake, Sumudu Herath, R. Gobirahavan, Nitin Muttil, Upaka Rathnayake

    Published in Sensors (2022-06-01)
    Get full text
    Article


  12. 12

    Effect of endogenous and anthropogenic factors on the alkalinisation and salinisation of freshwater in United States by using explainable machine learning by N.D. Wimalagunarathna, Gangani Dharmarathne, I.U. Ekanayake, Upaka Rathanayake, Janaka Alwatugoda, D.P.P. Meddage

    Get full text
    Article


  13. 13

    A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI by U.A.K.K. Perera, D.T.S. Coralage, I.U. Ekanayake, Janaka Alawatugoda, D.P.P. Meddage

    Published in Results in Engineering (2024-03-01)
    Get full text
    Article


  14. 14

    Machine learning approach to predict the mechanical properties of cementitious materials containing carbon nanotubes by Nader M. Okasha, Masoomeh Mirrashid, Hosein Naderpour, Aybike Ozyuksel Ciftcioglu, D.P.P. Meddage, Nima Ezami

    Published in Developments in the Built Environment (2024-10-01)
    Get full text
    Article


  15. 15

    Justifying the prediction of major soil nutrients levels (N, P, and K) in cabbage cultivation by Thilina Abekoon, Hirushan Sajindra, B.L.S.K. Buthpitiya, Namal Rathnayake, D.P.P. Meddage, Upaka Rathnayake

    Published in MethodsX (2024-06-01)
    Get full text
    Article


  16. 16

    In-depth simulation of rainfall–runoff relationships using machine learning methods by Mehdi Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, Hazi Md. Azamathulla, Upaka Rathnayake, D. P. P. Meddage, Kiran Tota-Maharaj

    Published in Water Practice and Technology (2024-06-01)
    Get full text
    Article


  17. 17

    Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers by J.P.S. Shashiprabha Madushani, R.M. Kelum Sandamal, D.P.P. Meddage, H.R. Pasindu, P.I. Ayantha Gomes

    Published in Transportation Engineering (2023-09-01)
    Get full text
    Article


  18. 18

    Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanation... by Randika K. Makumbura, Lakindu Mampitiya, Namal Rathnayake, D.P.P. Meddage, Shagufta Henna, Tuan Linh Dang, Yukinobu Hoshino, Upaka Rathnayake

    Published in Results in Engineering (2024-09-01)
    Get full text
    Article


  19. 19

    Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface by W. K. V. J. B. Kulasooriya, R. S. S. Ranasinghe, Udara Sachinthana Perera, P. Thisovithan, I. U. Ekanayake, D. P. P. Meddage

    Published in Scientific Reports (2023-08-01)
    Get full text
    Article


  20. 20

    Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning by R.S.S. Ranasinghe, W.K.V.J.B. Kulasooriya, Udara Sachinthana Perera, I.U. Ekanayake, D.P.P. Meddage, Damith Mohotti, Upaka Rathanayake

    Published in Results in Engineering (2024-09-01)
    Get full text
    Article


Search Tools: