Browsing Volume 23 Number 1 2020 by Author "Fernando, T.G.I."

Now showing items 1-2 of 2

Optimising Electrical Wiring Design of a Single-Storey Floor Plan using Multi-Objective Ant Colony System Algorithm (MOACS-EWR)

Pemarathne, W.P.J.; Fernando, T.G.I. (Faculty of Applied Sciences, University of Sri Jayewardenepura, 2020)

Nature-inspired algorithms are remarkable of producing optimum solutions by using the extraordinary behavior of nature. Ant colony optimisation algorithm is a foremost algorithm applied to various difficult combinatorial ...
Recognising Ayurvedic Herbal Plants in Sri Lanka using Convolutional Neural Networks

Jayanka, M.; Fernando, T.G.I. (Faculty of Applied Sciences, University of Sri Jayewardenepura, 2020)

Different parts of ayurvedic herbal plants are used to make ayurvedic medicines in Sri Lanka. Recognising these endemic herbal plants is a challenging problem in the fields of ayurvedic medicine, computer vision, and machine ...

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