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Emerging Technologies in Computing de Mahdi H. Miraz

Emerging Technologies in Computing: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 395

Editat de Mahdi H. Miraz, Garfield Southall, Maaruf Ali, Andrew Ware, Safeeullah Soomro
en Limba Engleză Paperback – 5 noi 2021
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
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Specificații

ISBN-13: 9783030900151
ISBN-10: 3030900150
Pagini: 208
Ilustrații: XII, 195 p. 126 illus., 79 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Cuprins

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.