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6 papers · 1 filter
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
Chirath Dasanayakaa, Maheshi Buddhinee Dissanayake
Tuberculosis (TB) is a contagious bacterial airborne disease, and is one of the top 10 causes of death worldwide. According to the World Health Organization (WHO), around 1.8 billi…
Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics
R. M. L. N. Kumari, G. A. C. T. Bandara, Maheshi B. Dissanayake
Fabric defect detection is a crucial quality control step in the textile manufacturing industry. In this article, machine vision system based on the Sylvester Matrix Based Similari…
Modified Auto Regressive Technique for Univariate Time Series Prediction of Solar Irradiance
Umar Marikkar, A. S. Jameel Hassan, Mihitha S. Maithripala +3
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. However, re…
Coordinated PV re-phasing: a novel method to maximize renewable energy integration in LV networks by mitigating network unbalances
W. G. Chaminda Bandara, G. M. R. I. Godaliyadda, M. P. B. Ekanayake +1
As combating climate change has become a top priority and as many countries are taking steps to make their power generation sustainable, there is a marked increase in the use of re…
A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images
Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan +4
Low light image enhancement is an important challenge for the development of robust computer vision algorithms. The machine learning approaches to this have been either unsupervise…
A Decentralized Policy with Logarithmic Regret for a Class of Multi-Agent Multi-Armed Bandit Problems with Option Unavailability Constraints and Stochastic Communication Protocols
Pathmanathan Pankayaraj, D. H. S. Maithripala, J. M. Berg
This paper considers a multi-armed bandit (MAB) problem in which multiple mobile agents receive rewards by sampling from a collection of spatially dispersed stochastic processes, c…