Search Results for author: Harshana Weligampola

Found 5 papers, 1 papers with code

A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions

no code implementations21 Aug 2021 Umar Marikkar, Harshana Weligampola, Rumali Perera, Jameel Hassan, Suren Sritharan, Gihan Jayatilaka, Roshan Godaliyadda, Vijitha Herath, Parakrama Ekanayake, Janaka Ekanayake, Anuruddhika Rathnayake, Samath Dharmaratne

In this study, a forecasting solution is proposed, to predict daily new cases of COVID-19 in regions small enough where containment measures could be locally implemented, by targeting three main shortcomings that exist in literature; the unreliability of existing data caused by inconsistent testing patterns in smaller regions, weak deploy-ability of forecasting models towards predicting cases in previously unseen regions, and model training biases caused by the imbalanced nature of data in COVID-19 epi-curves.

Decision Making

On Deep Learning for Radio Resource Management in A Non-stationary Radio Environment

no code implementations5 May 2020 Suren Sritharan, Harshana Weligampola, Haris Gacanin

This paper studies practical limitations of learning methods for resource management in non-stationary radio environment.

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