The Spirit of Recovery (eBook, ePUB)

IT Perspectives, Experiences, and Applications during the COVID-19 Pandemic
Redaktion: Wibawa, Aji Prasetya

• Format: ePub

Produktbeschreibung

The scope of this book focuses on how information technology may assist in achieving goals and in providing solutions to problems such as a pandemic. Research on the Internet and on technology has been done, and the findings have applications in various sectors that rely on interdisciplinary knowledge. This book explores and describes state-of-the-art research conducted during the COVID-19 pandemic. Topics covered include the IT viewpoint and the rules governing digital transformation throughout the pandemic. The Digital Revolution sped up by a decade during COVID-19, which impacted both the user experience and that of software developers. As a component of the digital transformation process, this book explores the experiences of both the user and developer when attempting to change and adapt while utilizing an information technology program.

This book includes five topics: (1) multidisciplinary artificial intelligence, (2) Smart City and Internet of Things applications, (3) game technology and multimedia applications, (4) data science and business intelligence, and (5) IT hospitality and information systems. Each topic is covered in several book chapters with some application in several countries, especially developing countries. The chapters provide insight from contributors with different perspectives and several diverse fields who present new ideas and approaches to solving problems associated with the worldwide pandemic.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 310
• Erscheinungstermin: 31. Januar 2024
• Englisch
• ISBN-13: 9781000961317
• Artikelnr.: 69618900

Autorenporträt

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).

Inhaltsangabe

1. Automatic HTML Generator from Sketch Using Deep Learning to Speed Up Web
Developing Post-COVID-19, 2. Dealing with 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 Suspected COVID-19 Based on IoT Geographic Information
Systems, 6. Comprehensive Analysis of Information Technology Solutions and
the Impact of the COVID-19 Pandemic 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 Between COVID-19
Pandemic and Endemic Situations, 10. The Integration of Ambient
Intelligence with Serious Game for Recommendation System of Tourist
Destinations Post-COVID-19 Pandemic, 11. Designing a Virtual Expo Area
Amidst the Pandemic, 12. Continuance Intention in Massive Open Online
Courses Using Extended Expectation-Confirmation Model, 13. Online
Supervision for Internship Student During the COVID-19 Pandemic and Beyond,
14. The Lecturer 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 around the
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 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