no code implementations • 4 Feb 2024 • Felix Krones, Umar Marikkar, Guy Parsons, Adam Szmul, Adam Mahdi
Machine learning methods in healthcare have traditionally focused on using data from a single modality, limiting their ability to effectively replicate the clinical practice of integrating multiple sources of information for improved decision making.
no code implementations • 13 Nov 2023 • Umar Marikkar, Sara Atito, Muhammad Awais, Adam Mahdi
Vision Transformers (ViTs) are widely adopted in medical imaging tasks, and some existing efforts have been directed towards vision-language training for Chest X-rays (CXRs).
no code implementations • 23 Aug 2021 • A. S. Jameel Hassan, Umar Marikkar, G. W. Kasun Prabhath, Aranee Balachandran, W. G. Chaminda Bandara, Parakrama B. Ekanayake, Roshan I. Godaliyadda, Janaka B. Ekanayake
The deviation of mean voltages of the proposed methodology from load flow method was; 6. 5*10^-3 p. u for reactive power control using Q-injection, 1. 02*10^-2 p. u for reactive power control using Q-absorption, and 0 p. u for active power curtailment case.
no code implementations • 21 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.
no code implementations • 6 Dec 2020 • Umar Marikkar, A. S. Jameel Hassan, Mihitha S. Maithripala, Roshan I. Godaliyadda, Parakrama B. Ekanayake, Janaka B. Ekanayake
The integration of renewable resources has increased in power generation as a means to reduce the fossil fuel usage and mitigate its adverse effects on the environment.