Applied Informatics for Industry 4.0 (eBook, PDF)

Redaktion: Siddique, Nazmul; Kaiser, M Shamim; Wall, Julie; Arefin, Mohammad Shamsul

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 337
• Erscheinungstermin: 17. Februar 2023
• Englisch
• ISBN-13: 9781000803051
• Artikelnr.: 67317580

Autorenporträt

Nazmul Siddique, M Shamim Kaiser

Inhaltsangabe

1. 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