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E-grāmata: Spirit of Recovery: IT Perspectives, Experiences, and Applications during the COVID-19 Pandemic

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  • Formāts: 310 pages
  • Izdošanas datums: 31-Jan-2024
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000961317
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Spirit of Recovery: IT Perspectives, Experiences, and Applications during the COVID-19 PandemicPalielināt

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The book focuses on how information technology may assist in achieving goals and provide solutions to problems like the pandemic. It explores and describes the current state-of-the-art research conducted during the pandemic. Topics covered include the IT Viewpoint and the rules governing digital transformation throughout the epidemic.



The scope of this book focuses on how information technology may assist in achieving goals and provide solutions to problems like the pandemic. Research on the Internet and Technology has been done, and its findings have applications in various sectors that need interdisciplinary knowledge. This book explores and describes the current state-of-the-art research conducted during the pandemic. Topics covered include the IT Viewpoint and the rules governing digital transformation throughout the epidemic. The digital transition sped up by ten years during this epidemic, which impacted both the user experience and the experience of software developers. As a component of the digital transformation process, this book explores the experiences both the user and the developer have had when attempting to change and adapt while utilizing an information technology program. In a different chapter, a methodology was suggested as one of the state-of-the-art algorithms in the connected domains. The book includes five topics: Multidisciplinary Artificial Intelligence, Smart city and Internet of Things applications, Game Technology and Multimedia Processing, Data Science and Business Intelligence, IT Hospitality, and Information Systems. Each topic is covered in several book chapters with some application in several countries, especially developing countries. The chapters may provide insight from a different perspective from the several diverse fields on how the writers might adapt and present a new idea to solve a new approach in this recovery scenario from the worldwide pandemic.

1. Automatic HTML Generator from Sketch using Deep Learning to Speed Up Web Developing in Covid Era. 2. Dealing COVID-19 using Deep Learning for Computer Vision. 3. Real-Time Detection of COVID-19 Protocol Implementation using Convolutional Neural Networks and Inverse Perspective Mapping. 4. Marketplace Product Image Grouping using Transfer Learning of Deep Convolutional Neural Network in COVID-19 Post-Pandemic Situation. 5. The Chamber Monitoring Suspect COVID-19 based on IoT Geographic Information System. 6. Comprehensive Spirit Analysis of Information Technology Solutions and the Impact of the Pandemic Outbreak on Human Life.
7. The Microcontroller-Based Technology for Developing Countries in the COVID-19 Pandemic Era.
8. A Wireless Infrastructure Prototype Based on a Cloud Networking Solution to Optimize Service Provision in a Health Provider Entity.
9. Virtual Reality as Social Interaction Medium during in-between COVID-19 Pandemic and Endemic Situation.
10. The Integration of Ambient Intelligence with Serious Game for Recommendation System of Tourist Destination after COVID-19 Pandemic.
11. Designing A Virtual Expo Area in the Pandemic.
12. Continuance Intention in Massive Open Online Courses using Extended Expectation-Confirmation Model.
13. Online Supervision for Internship Student during COVID-19 Pandemic.
14. The Lecturers Document Management System in the COVID-19 Pandemic: Benefits, Challenges, Potential, and Difficulties.
15. Fast Track Program with Recognition of Prior Learning in Post-Pandemic COVID-19.
16. Student Satisfaction with Distance Learning during Pandemic Era Using Machine Learning Methods.
17. Food Security Clustering in Indonesia during COVID-19 Pandemic.
18. Support Vector Machine for Sentiment Analysis of COVID-19 Vaccine. 19. Seasonal and Trend Forecasting of COVID-19 Cases using Deep Learning.
20. Immunology and Microbiology Journals Quartile Classification using Decision Tree (ID3) Ensemble Models.
21. Opinion Mining on The Post COVID-19 Hybrid Learning.
22. Sentiment Analysis Concerning Indonesian Community Acceptance of COVID-19 Vaccine in Social Media.
23. Graph Clustering for Social Media Listening during COVID-19 Lockdown Policy in Indonesia.

Aji Prasetya Wibawa was awarded a doctoral degree in Electrical and Information Engineering from the University of South Australia (UniSA). He was formerly the head of the Electrical Engineering Department at Universitas Negeri Malang (UM) in Indonesia. He is currently head of the Academic Publication Center at UM. He is the leader of a research group that focuses on knowledge engineering and data science (KEDS). His research interests include artificial intelligence, data mining, machine translation, and social informatics. These research interests are reflected in the journals he edits, such as Knowledge Engineering and Data Science (KEDS) and Bulletin of Social Informatics Theory and Application (BUSINTA).
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