Emerging Technologies in Computing
4th EAI/IAER International Conference, iCETiC 2021, Virtual Event, August 18-19, 2021, Proceedings
(Sprache: Englisch)
This book constitutes the refereed conference proceedings of the 4th International Conference on Emerging Technologies in Computing, iCEtiC 2021, held in August 2021. Due to VOVID-19 pandemic the conference was helt virtually.
The 15 revised full papers...
The 15 revised full papers...
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Klappentext zu „Emerging Technologies in Computing “
This book constitutes the refereed conference proceedings of the 4th International Conference on Emerging Technologies in Computing, iCEtiC 2021, held in August 2021. Due to VOVID-19 pandemic the conference was helt virtually.The 15 revised full papers were reviewed and selected from 44 submissions and are organized in topical sections covering Information and Network Security; Cloud, IoT and Distributed Computing; AI, Expert Systems and Big Data Analytics
Inhaltsverzeichnis zu „Emerging Technologies in Computing “
Information and Network Security 1 Hardware Assisted Protocol for Attacks Prevention in ad hoc Networks.- Android Malicious Software using Boosting Algorithms Deepon Nath.- Privacy and Security Factors of Government Websites versus Private Websites in Bangladesh and USA: A Comparative Study.- Protecting Web Applications from Web Scraping.- Cloud, IoT and Distributed Computing.- 5 Integrated CMOS Active Low-pass Filter for IoT RFID Transceiver.- LoRa IoT WSN for E-Agriculture.- Integrating the Meteorological Data into a Smart City Service using Cloud of Things (CoT) .- Data Handling and Transparency Enhancement in Central Sterile Service Department.- AI, Expert Systems and Big Data Analytics .- Data Mining Approach Improving Decision-Making Competency along the Business Digital Transformation Journey: A Literature Review.- An Event-level Clustering Framework for Process Mining Using Common Sequential Rules.- Fuzzy Logic enabled Stress Detection using Physiological Signals.- The Auxiliary Parametric Sensitivity Method as a Means of Improving Project Management Analysis and Synthesis of Executive Elements.- Predicting Diabetes Using Diabetes Datasets and Machine Learning Algorithms: Comparison and Analysis.
Bibliographische Angaben
- 2021, 1st ed. 2021, XII, 195 Seiten, 79 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Mahdi H. Miraz, Garfield Southall, Maaruf Ali, Andrew Ware, Safeeullah Soomro
- Verlag: Springer, Berlin
- ISBN-10: 3030900150
- ISBN-13: 9783030900151
Sprache:
Englisch
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