How Ai Impacts Urban Living And Public Health
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How AI Impacts Urban Living and Public Health
This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.
Wearable Devices and Smart Technology for Educational Teaching Assistance
Wearable devices and smart technology are revolutionizing educational teaching assistance, offering innovative solutions to enhance learning experiences and support educators and students. These technologies enable real-time monitoring of student progress, provide personalized learning insights, and facilitate interactive lessons. By integrating wearable devices with educational platforms, teachers can access valuable data to adapt their teaching methods to individual needs, while students can benefit from engaging learning opportunities. As the education sector embraces these advancements, wearable and smart technologies have the potential to create more inclusive, adaptive, and efficient teaching environments, ultimately improving learning outcomes and accessibility. Wearable Devices and Smart Technology for Educational Teaching Assistance discusses how to create a sustainable education system for the future generation and how to make the necessary changes. To design a curriculum that is sustainable, it examines innovative teaching methods, the integration of technology, and the importance of sustainability when it comes to curricula. This book covers topics such as education technology, security devices, and teacher training, and is a useful resource for educators, engineers, security professionals, healthcare workers, scientists, academicians, and researchers.
Intelligent Data Analysis for COVID-19 Pandemic
Author: M. Niranjanamurthy
language: en
Publisher: Springer Nature
Release Date: 2021-06-22
This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.