Doddaiah Kalpana, Pavan (2022) Covid Pneumonia detection on Chest X-Rays using Convolutional Neural Network. Masters thesis, Dublin, National College of Ireland.
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Abstract
The emergence of a coronavirus outbreak caused by a new virus known as SARSCoV-2 happened around the beginning of 2020. Covid-19’s sudden explosion and unregulated worldwide spread reflect the weaknesses of current healthcare facilities in dealing with public health crises in a timely manner. Organizations in health care are frantic for decision-making technology to deal with such a virus and to aid them in having sufficient real-time guidance to prevent its spread. 1. Bigdata, 2. Internet of Things(IoT), 3. Machine learning, 4. Artificial Intelligence (AI) are few technologies and we also have other cutting-edge technology that can improve traditional health-care practices. In this context, artificial intelligence offers smart solutions for the detection of coronavirus-induced symptoms for care, prevention, and support for drug manufacturing. This study examines AI strategies employed in various applications to combat the breakout of covid-19 and describes the key goal of artificial intelligence research in this unusual battle.
Item Type: | Thesis (Masters) |
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Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things |
Divisions: | School of Computing > Master of Science in Data Analytics |
Depositing User: | Tamara Malone |
Date Deposited: | 24 Jan 2023 12:07 |
Last Modified: | 07 Mar 2023 11:40 |
URI: | https://norma.ncirl.ie/id/eprint/6111 |
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