UID:
almahu_9949599157102882
Format:
XVI, 390 p. 106 illus., 86 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789819947645
Series Statement:
Lecture Notes in Networks and Systems, 753
Content:
The book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4-5, 2023. It includes innovative works from researchers, leading innovators, business executives, and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.
Note:
Assessment of the level of environmental and economic sustainability of subjects of the public sector of the country's economy -- A Suggested Index of Green Finance Availability: The Case of Egypt -- Corporate Financial Performance Prediction Using Artificial Intelligence Techniques -- Strategic measures and alternatives to ensure the financial security of machine-building enterprises -- Digital transformation as a tool for implementation of the "Green Deal" concept in the national economy of Ukraine -- Intelligent Mechanism for Virtual Machine Migration in Cloud computing -- Blockchain Technology to Enhance Performance of Drugs Supply Chain in The Era of Digital Transformation in Egypt -- Governance Model for Cloud Computing Service -- Assessing and auditing organization's big data based on COBIT 5 controls: COVID-19 effects -- Feature Selection in Medical Data as Coping Review from 2017 To 2022 -- Machine learning for blood Donors classification model using Ensemble learning -- The Effect of Buyer Churn Factors on Buyer's Loyalty through Telecommunication Service Providers in Egypt -- Plant Disease Detection and Classification Using Machine Learning and Deep Learning Techniques: Current Trends and Challenges -- A Review for Software Defect Prediction Using Machine Learning Algorithms -- Using Machine Learning Techniques in predicting Auditor Opinion: Empirical Study -- A Comparative Study of Features Selection in the Context of Forecasting PM2.5 Concentration -- Effective E-commerece Based on Predicting the Level of Consumer Satisfaction -- An HBM3 Processing-In-Memory Architecture for CRC Operations -- Improving Smart Infrastructure to Achieve Sustainable Development: Analysis and Policy Proposals -- Cramer-Rao bound Investigation of the Double-Nested Arc Array Virtual Extension & Butterfly Antenna Configuration -- Energy security of Ukraine in general and in the field of electric power - theory and reality -- An Ontology-based Customer Relationship Management Model for Educational Institutions using Service Oriented Architecture -- Use of the semantic Wiki resources for Open Science support -- Framework Development for Testing Automation of Web-services Based on Python.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819947638
Additional Edition:
Printed edition: ISBN 9789819947652
Language:
English
DOI:
10.1007/978-981-99-4764-5
URL:
https://doi.org/10.1007/978-981-99-4764-5
URL:
Volltext
(URL des Erstveröffentlichers)
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