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Title
Proceedings of the ICR'22 International Conference on Innovations in Computing Research / Kevin Daimi, Abeer Al Sadoon, editors.
ISBN
9783031140549 (electronic bk.)
3031140540 (electronic bk.)
3031140532
9783031140532
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xviii, 497 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-14054-9 doi
Call Number
QA76.27
Dewey Decimal Classification
004.072
Summary
This book, Proceedings of the ICR's22 International Conference on Innovations in Computing Research, provides an essential compilation of relevant and cutting-edge academic and industry work on key computer and network security, smart cities, smart energy, IoT, health informatics, biomedical imaging, data science and computer science and engineering education topics. It offers an excellent professional development resource for educators and practitioners on the state-of-the-art in these areas and contributes towards the enhancement of the community outreach and engagement component of the above-mentioned areas. Various techniques, methods, and approaches adopted by experts in these fields are introduced. This book provides detailed explanation of the concepts that are pertinently reinforced by practical examples, and a road map of future trends that are suitable for innovative computing research. It is written by professors, researchers, and industry professionals with long experience in these fields to furnish a rich collection of manuscripts in highly regarded topics that have not been creatively compiled together before. This book can be a valuable resource to university faculty, students to enhance their research work and as a supplement to their courses in these fields, researchers, and industry professionals. Furthermore, it is a valuable tool to experts in these areas to contribute towards their professional development efforts.
Note
International conference proceedings.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 17, 2022).
Series
Advances in intelligent systems and computing ; 1431. 2194-5365
Detection of Unconsciousness in Falls Using Thermal Vision Sensors
Work Disability Risk Prediction Using Machine Learning, Comparison of Two Methods
Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model
Heart Attack Classification System Using Neural Network Trained with Particle Swarm Optimization
Electro-Encephalography based Multi-Label Classification with Convolutional Neural Networks
BeCaked+: An Explainable AI Model to Forecast Delta-spreading Covid-19 Situations for Ho Chi Minh City
Hybrid Model for Predicting Educational Use of Mobile Cloud Computing Services in Higher Education
Data Analytics on eXtended Reality (XR) for Pedagogy Education: Educators⁰́₉ Awareness for the Future of Education in Smart Cities.
