11. Analysis of COVID-19 tracking tool in india: case study of aarogya setu mobile application : Case Study of Aarogya Setu Mobile ApplicationRajan Gupta, Manan Bedi, Prashi Goyal, Srishti Wadhera, Vaishnavi Verma, 2020, izvirni znanstveni članek Opis: COVID-19 tracking tools or contact-tracing apps are getting developed at a rapid pace by different governments in their respective countries. This study explores one such tool called Aarogya Setu, developed by the Government of India. It is a mobile application developed under the Health Ministry, as a part of the E-Governance initiative, to track and sensitize the citizens of India in a joint battle against COVID-19 spread. The study aims to understand various useful features of this tool and to present different concepts of data science applied within the application along with its importance in managing the ongoing pandemic. The App uses Bluetooth and GPS technologies to alert a user when they are nearby a COVID-19 infected person. The application uses various Data Science concepts such as Classification, Association Rule Mining, and Clustering to analyze COVID-19 spread in India. The study also shows potential upgradations in the application, which includes usage of Artificial Intelligence and Computer Vision to detect COVID-19 patients. The study would be useful for mobile technology professionals, data science professionals, medical practitioners, health-related frontline workers, public administrators, and government officials. Ključne besede: COVID-19, India, contact-tracing, tracking tool, Bluetooth, GPS, COVID19 reporting tool, Aarogya Setu Objavljeno v RUNG: 01.04.2021; Ogledov: 2034; Prenosov: 60 Povezava na celotno besedilo Gradivo ima več datotek! Več... |
12. Machine learning models for government to predict COVID-19 outbreakRajan Gupta, Gaurav Pandey, Poonam Chaudhary, Saibal K. Pal, 2020, izvirni znanstveni članek Opis: The COVID-19 pandemic has become a major threat to the whole world. Analysis of this disease requires major attention by the government in all countries to take necessary steps in reducing the effect of this global pandemic. In this study, outbreak of this disease has been analysed and trained for Indian region till 10th May, 2020, and testing has been done for the number of cases for the next three weeks. Machine learning models such as SEIR model and Regression model have been used for predictions based on the data collected from the official portal of the Government of India in the time period of 30th January, 2020, to 10th May, 2020. The performance of the models was evaluated using RMSLE and achieved 1.52 for SEIR model and 1.75 for the regression model. The RMSLE error rate between SEIR model and Regression model was found to be 2.01. Also, the value of R0, which is the spread of the disease, was calculated to be 2.84. Expected cases are predicted around 175K--200K in the three-week time period of test data, which is very close to the actual numbers. This study will help the government and doctors in preparing their plans for the future. Ključne besede: COVID-19, India, spread exposed infected recovered model, regression model, machine learning, predictions, forecasting Objavljeno v RUNG: 01.04.2021; Ogledov: 2249; Prenosov: 83 Povezava na celotno besedilo Gradivo ima več datotek! Več... |
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16. Statistical analysis of European digital strategies in times of crisisŠaza Babić, 2020, diplomsko delo Opis: Preparation and communication are essential in times of crisis. I was motivated to choose this topic by recent events in the world caused by the COVID 19 virus, which has affected every sphere, from the economy to human relations. However, tough times can be an opportunity to set brands apart from their competition. It is important, though, that they use marketing as a tool to create empathy, as this is the principle of reciprocity. Only in this way they can gain their trust, keep them loyal to the brand and be connected to it.
The thesis describes the importance of a well and properly prepared digital strategy that every company should have if a crisis were to occur again. Ključne besede: Crisis, communication, COVID 19, strategy. Objavljeno v RUNG: 18.11.2020; Ogledov: 3135; Prenosov: 148 Celotno besedilo (580,30 KB) |
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18. Če nisi preveden, ne obstajaš : okrogla miza o prevajanju, tolmačenju, podnaslavljanju in lektoriranjuPolona Brumen, Andreja Skarlovnik, Kristina Mlakar Pučnik, Polona Mertelj, Barbara Pregelj, 2020, znanstveni film, znanstvena zvočna ali video publikacija Opis: Objavljeno 23. aprila 2020
https://www.youtube.com/watch?v=ikIh1rQZk9M&t=11s&ab_channel=Dru%C5%A1tvoslovenskihkni%C5%BEevnihprevajalcev Ključne besede: okrogle mize, prevajanje, lektoriranje, tolmačenje Covid-19 Objavljeno v RUNG: 21.09.2020; Ogledov: 2676; Prenosov: 0 Gradivo ima več datotek! Več... |