#books #environment | Smart and sustainable technology for resilient cities and communities

Smart and sustainable technology for resilient cities and communities / Robert J. Howlett ... [et al.], editors.
Singapore : Springer Nature, 2022.
XVI, 322 p. : il.
Serie: Advances in sustainability science and technology.
/ EN / Libros / Pandemia de COVID-19 / Urbanismo – Aspecto del medio ambiente / Urbanismo – Innovaciones / Urbanismo – Siglo XXI

📘 Ed. impresa: ISBN 9789811691003
Cita APA-7: Howlett, Robert J. [et al.] (eds.) (2022). Smart and sustainable technology for resilient cities and communities. Springer Nature.
ehuBiblioteka BCG A-711.4:504 SMA
https://ehu.on.worldcat.org/oclc/1335376472

[.en] This book is a collection of extended versions of papers presented at the KES Covid-19 Challenge international summit. The book focusses on technological, economic, and social developments to combat the effects of global and local disasters as well as the ways in which the recovery from Covid can be used to build more resilient and sustainable communities, industry, and improve the environment. It also discusses the global challenges of human-influenced climate change. There are chapters on making cities and communities more resilient through energy self-sufficiency, food production, resilient housing and buildings, human health and intelligent systems e.g. for forecasting and prediction.

Examining pedagogical approaches in developing employability skills in the wake of the Covid-19 pandemic. Relating work-integrated learning to the employability skills discussion in the post-COVID-19 era. Integration of Indoor Air Quality concerns in educational community through collaborative framework of Campus Bizia Lab of the University of the Basque Country. An overview of methods for control and estimation of capacity in COVID19 pandemic from point cloud and imagery data. Forecasting the COVID-19 spread in Iran, Italy and Mexico using novel nonlinear autoregressive neural network and ARIMA-based hybrid models. A Comparative Study of Deep-Learning Models for COVID-19 Diagnosis based on X-ray Images-. Equipping European higher education teachers for successful and sustainable e-learning with home remote work. Anticipating and Preparing for Future Change and Uncertainty: Building Adaptive Pathways. A Sustainable Nutritional Behavior In The Era Of Climate Changes. The Development of a Smart Tunable Full-Spectrum LED Lighting Technology which may Prevent and Treat Covid-19 Infections, for Society's Resilience and Quality of Life. Energy efficient technologies for ultra-low temperature refrigeration.