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E-raamat: Applied Informatics for Industry 4.0

Edited by (University of Ulster, Magee, UK), Edited by (Institute of Information Technology, Jahangirnagar University, Bangladesh), Edited by , Edited by
  • Formaat: 337 pages
  • Ilmumisaeg: 17-Feb-2023
  • Kirjastus: Chapman & Hall/CRC
  • Keel: eng
  • ISBN-13: 9781000803129
  • Formaat - EPUB+DRM
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  • Formaat: 337 pages
  • Ilmumisaeg: 17-Feb-2023
  • Kirjastus: Chapman & Hall/CRC
  • Keel: eng
  • ISBN-13: 9781000803129

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Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.



Focuses on cutting edge research from informatics and complex industrial systems. Covers topics including health informatics, bioinformatics, brain-informatics, genomics and proteomics, data and network security etc. Beginners and advanced researchers in computer science, information sciences, electrical/electronic engineering, and robotics.
Preface

Contributors

Editors

Chapter 1 Cloud-based Smart Parking Systems Using IoT

Chapter 2 Empirical Study on Dimensionality Reduction Approach for
F-Commerce

Dataset by Principal Component Analysis

Chapter 3 Analysis of Online Purchase Intentions of Young Bangladeshi

Social Network Users

Chapter 4 An Ethereum Blockchain-Based Healthcare System Using

Smart Contract

Chapter 5 Bangla Fake News Detection Using Hybrid Deep Learning

Models

Chapter 6 Adaptive Decay and Radius-Based Evolving Clustering Approach

for Data Stream

Chapter 7 Solar-Powered Smart Street Light and Surveillance System

Using IoT

Chapter 8 Analysis of Aquaculture for Cultivating Different Types of Fish
84

Chapter 9 Crime-finder: A System for Extraction and Visualization of

Crime Data from Bengali Online Newspaper Articles

Chapter 10 BERT-Based Emotion Classification Approach with Analysis

of COVID-19 Pandemic Tweets

Chapter 11 Emotion Detection from Natural Text using Embedding Techniques

Chapter 12 Performance Analysis of Energy-Aware DTN Routing Protocols

in Opportunistic Networks

Chapter 13 Performance Investigation among Heterogeneous Routing

Techniques in Wireless Sensor Networks

Chapter 14 Analysis of Physical and Psychological Impacts to Predict

Satisfaction of Students towards E-Learning during COVID-

19 Pandemic

Chapter 15 SeniorsAid: Requirements, Elicitation, and Development of a

Mobile App for Seniors

Chapter 16 Comparative Study of Big Data Visualization Tools and
Techniques

Chapter 17 Low-cost IoT-based Power Interruption Monitoring System

Chapter 18 Multilevel Voting Models in Cyber Aggression Detection for

Bangla Texts

Chapter 19 A Cognitive Approach for Load Adaptive MAC Protocol in

Wireless Body Area Networks

Chapter 20 Discrete Tone Driven Directional Rate Controlled Communication

System for Wireless Networks

Chapter 21 Blockchain-Based Secure Medical Data Management with

Enabling IoT

Chapter 22 Bio-Inspired Meta-Heuristic Techniques for DC-DC Boost

Converter with LQR Controller in a DC Microgrid

Chapter 23 Mining Significant Pre-diabetes Features of Diabetes Mellitus:

A Case Study of Noakhali, Bangladesh

Chapter 24 IoT-Based Smart Kitchen Security System

Index
Nazmul Siddique, M Shamim Kaiser