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Sandini Palitha

Swinburne University of Technology

Cnr Wakefield and William Streets, Hawthorn Victor

3122 Victoria, 3122

Australia

  • Swinburne University of Technology

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Scholarly Papers (1)

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Predicting Adhesion Strength of Micropatterned Surfaces Using Gradient Boosting Models and Explainable Artificial Intelligence Visualizations

Number of pages: 42 Posted: 20 May 2023
I. U. Ekanayake, Sandini Palitha, Sajani Gamage, D. P. P. Gamage, Kasun Wijesooriya and Damith Mohotti
University of Peradeniya, Swinburne University of Technology, Sri Lanka Institute of Information Technology, University of Moratuwa, affiliation not provided to SSRN and UNSW Canberra
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adhesion strength, fibrillar adhesives, gradient boosting, explainable AI