Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London. Volume 1 / Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi, editors.
2024
T58.5 .I583 2024
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Details
Title
Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London. Volume 1 / Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi, editors.
Meeting Name
ISBN
9789819745814 (electronic bk.)
9819745810 (electronic bk.)
9789819745807
9819745810 (electronic bk.)
9789819745807
Published
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Language
English
Description
1 online resource (xvii, 352 pages) : illustrations (chiefly color).
Other Standard Identifiers
10.1007/978-981-97-4581-4 doi
Call Number
T58.5 .I583 2024
System Control No.
(OCoLC)1453289744
Summary
This open access book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held at Brunel University, London, on February 19-22, 2024. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers working on ICT, the book offers an asset for young researchers involved in advanced studies. The work is presented in ten volumes.
Note
International conference proceedings.
Includes author index.
Includes author index.
Formatted Contents Note
Chapter 1: Perceptions and experiences of severe content in content moderation teams: A qualitative study
Chapter 2: Unveiling the Television News Puzzle:Tracking TV News Consumption Behaviours Amidst and Beyond the Covid-19 Pandemic
Chapter 3: Behaviors and Patterns of TV News Viewing in Malaysia During and After Covid-19 Pandemic
Chapter 4: Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
Chapter 5: Exploratory customer discovery through simulation using ChatGPT and prompt engineering
Chapter 6: Ethical education data mining framework for analyzing and evaluating large language model-based conversational intelligent tutoring systems for management and entrepreneurship courses
Chapter 7: Sensing the Emergence of New Structure in Matter and Life and its Impact on Physics, Chemistry, and Biology, in a Light-Based Quantum Computational Model
Chapter 8: VOTUM: Secure and Transparent E-Voting System
Chapter 9: Simulation and Fault Diagnostics using I-V and P-V Curve Tracing
Chapter 10: Comparing Adopter, Tester, and Non-adopter of Collaborative Augmented Reality for Industrial Services. etc.
Chapter 2: Unveiling the Television News Puzzle:Tracking TV News Consumption Behaviours Amidst and Beyond the Covid-19 Pandemic
Chapter 3: Behaviors and Patterns of TV News Viewing in Malaysia During and After Covid-19 Pandemic
Chapter 4: Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
Chapter 5: Exploratory customer discovery through simulation using ChatGPT and prompt engineering
Chapter 6: Ethical education data mining framework for analyzing and evaluating large language model-based conversational intelligent tutoring systems for management and entrepreneurship courses
Chapter 7: Sensing the Emergence of New Structure in Matter and Life and its Impact on Physics, Chemistry, and Biology, in a Light-Based Quantum Computational Model
Chapter 8: VOTUM: Secure and Transparent E-Voting System
Chapter 9: Simulation and Fault Diagnostics using I-V and P-V Curve Tracing
Chapter 10: Comparing Adopter, Tester, and Non-adopter of Collaborative Augmented Reality for Industrial Services. etc.
Access Note
Open access
Open access versions available from some providers
Open access versions available from some providers
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 27, 2024).
Added Author
Series
Lecture notes in networks and systems ; v. 1011. 2367-3389
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