Proceedings of the ICR'22 International Conference on Innovations in Computing Research

by Kevin Daimi (Editor), Abeer Al Sadoon (Editor)

Overview

This book, Proceedings of the ICR´22 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.

Product Details

ISBN-13:	9783031140532
Publisher:	Springer International Publishing
Publication date:	08/11/2022
Series:	Advances in Intelligent Systems and Computing , #1431
Edition description:	1st ed. 2022
Pages:	497
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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: Educators’ Awareness for the Future of Education in Smart Cities.