D. P. P. Meddage

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Upaka Rathnayake (Top 2% researcher)Professor, Atlantic Technological University, Sligo Irelandatu.ie üzerinde doğrulanmış e-posta adresine sahip
Imesh Udara EkanayakeComputer Engineer / Phd Candidate at RMITeng.pdn.ac.lk üzerinde doğrulanmış e-posta adresine sahip
Gangani DharmarathneResearcheralsglobal.com üzerinde doğrulanmış e-posta adresine sahip
Madhusha BogahawaththaUniversity of New South Wales, Canberra.unsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Damith MohottiSenior Lecturer at UNSW Canberra, Honorary Associate Professor at UOWunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
Mohammad Azamathulla HaziThe University of the West Indiessta.uwi.edu üzerinde doğrulanmış e-posta adresine sahip
Kasun WijesooriyaThe University of New South Wales, Canberraunsw.edu.au üzerinde doğrulanmış e-posta adresine sahip
C. S. LewangamageProfessor, Department of Civil Engineering, University of Moratuwauom.lk üzerinde doğrulanmış e-posta adresine sahip
A. U. WeerasuriyaHong Kong Metropolitan Universityhkmu.edu.hk üzerinde doğrulanmış e-posta adresine sahip
Rochana Ranasingheuom.lk üzerinde doğrulanmış e-posta adresine sahip
H.R.PasinduProfessor, Department of Civil Engineering, University of Moratuwauom.lk üzerinde doğrulanmış e-posta adresine sahip
Kelum SandamalMunster Technological University (Cork Institute of Technology), Irelandmycit.ie üzerinde doğrulanmış e-posta adresine sahip
P I Ayantha GomesProfessor, Department of Civil Engineering, Sri Lanka Institute of Information Technologysliit.lk üzerinde doğrulanmış e-posta adresine sahip
Udara Sachinthana PereraLecturer, Faculty of Engineering, Sri Lanka Institute of Information Technology – SLIITsliit.lk üzerinde doğrulanmış e-posta adresine sahip
W.K.V.J.B. KulasooriyaBSc.Eng, Civil Engineeringmy.sliit.lk üzerinde doğrulanmış e-posta adresine sahip
Sumudu HerathUniversity of Moratuwauom.lk üzerinde doğrulanmış e-posta adresine sahip
K.T. TseThe Hong Kong University of Science and Technologyust.hk üzerinde doğrulanmış e-posta adresine sahip
Janaka AlawatugodaRabdan Academy, Abu Dhabi, UAE; Griffith University, Brisbane, Australiara.ac.ae üzerinde doğrulanmış e-posta adresine sahip
Deanna CoralageComputer Engineer, University of Peradeniyaeng.pdn.ac.lk üzerinde doğrulanmış e-posta adresine sahip
Agampodi S.M. MendisGeneral Sir John Kotelawala Defense Universitykdu.ac.lk üzerinde doğrulanmış e-posta adresine sahip

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D. P. P. Meddage

Diğer adlarPasindu Meddage

University of New South Wales, Australia

unsw.edu.au üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Structural engineering Applied Machine learning Wind engineering Explainable AI


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP) IU Ekanayake, DPP Meddage, U Rathnayake Case Studies in Construction Materials 16, e01059, 2022	254	2022
Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings DPP Meddage, IU Ekanayake, AU Weerasuriya, CS Lewangamage, ... Journal of Wind Engineering and Industrial Aerodynamics 226, 105027, 2022	57	2022
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 P Thisovithan, H Aththanayake, DPP Meddage, IU Ekanayake, ... Results in Engineering 19, 101388, 2023	46	2023
A novel machine learning approach for diagnosing diabetes with a self-explainable interface G Dharmarathne, TN Jayasinghe, M Bogahawaththa, DPP Meddage, ... Healthcare Analytics 5, 100301, 2024	45	2024
A simplified mathematical formulation for water quality index (WQI): A case study in the Kelani River Basin, Sri Lanka R Makubura, DPP Meddage, HM Azamathulla, M Pandey, U Rathnayake Fluids 7 (5), 147, 2022	41	2022
Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers JPSS Madushani, RMK Sandamal, DPP Meddage, HR Pasindu, ... Transportation Engineering 13, 100190, 2023	39	2023
Interpretation of machine-learning-based (black-box) wind pressure predictions for low-rise gable-roofed buildings using Shapley additive explanations (SHAP) P Meddage, I Ekanayake, US Perera, HM Azamathulla, MA Md Said, ... Buildings 12 (6), 734, 2022	38	2022
Adapting cities to the surge: A comprehensive review of climate-induced urban flooding G Dharmarathne, AO Waduge, M Bogahawaththa, U Rathnayake, ... Results in Engineering, 102123, 2024	37	2024
Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface W Kulasooriya, RSS Ranasinghe, US Perera, P Thisovithan, ... Scientific Reports 13 (1), 13138, 2023	34	2023
Exploring the applicability of expanded polystyrene (EPS) based concrete panels as roof slab insulation in the tropics DPP Meddage, A Chadee, MTR Jayasinghe, U Rathnayake Case Studies in Construction Materials 17, e01361, 2022	34	2022
Predicting bulk average velocity with rigid vegetation in open channels using tree-based machine learning: a novel approach using explainable artificial intelligence DPP Meddage, IU Ekanayake, S Herath, R Gobirahavan, N Muttil, ... Sensors 22 (12), 4398, 2022	31	2022
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations IU Ekanayake, S Palitha, S Gamage, DPP Meddage, K Wijesooriya, ... Materials Today Communications 36, 106545, 2023	30	2023
Tree-based regression models for predicting external wind pressure of a building with an unconventional configuration DPP Meddage, IU Ekanayake, AU Weerasuriya, CS Lewangamage 2021 Moratuwa Engineering Research Conference (MERCon), 257-262, 2021	28	2021
Predicting transient wind loads on tall buildings in three-dimensional spatial coordinates using machine learning DPP Meddage, D Mohotti, K Wijesooriya Journal of Building Engineering 85, 108725, 2024	26	2024
Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques C Madhushani, K Dananjaya, IU Ekanayake, DPP Meddage, ... Journal of Hydrology 631, 130846, 2024	22	2024
Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive … RK Makumbura, L Mampitiya, N Rathnayake, DPP Meddage, S Henna, ... Results in Engineering 23, 102831, 2024	17	2024
Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning RSS Ranasinghe, W Kulasooriya, US Perera, IU Ekanayake, ... Results in Engineering 23, 102503, 2024	17	2024
A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI U Perera, DTS Coralage, IU Ekanayake, J Alawatugoda, DPP Meddage Results in Engineering 21, 101920, 2024	17	2024
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP), Case Stud … IU Ekanayake, DPP Meddage, U Rathnayake	12
On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence G Dharmarathne, M Bogahawaththa, M McAfee, U Rathnayake, ... Intelligent Systems with Applications, 200397, 2024	11	2024

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