Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention
Marcelo S Alencar editor Tuan Anh Nguyen editor Adil Denizli editor David Motaung editor
Format:Paperback
Publisher:Elsevier - Health Sciences Division
Published:31st May '22
Currently unavailable, and unfortunately no date known when it will be back
Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in early stages, using cheap sensors, cheap constellations of low Earth orbit (LEO) satellites, and smart wireless networks with artificial intelligence (AI) tools. Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between the object and the sensor. Besides this, with the support of AI tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems are becoming smarter when a large number of sensors are used. This book is an important reference source for materials scientists, engineers, and environmental scientists who are seeking to understand how nanotechnology-based solutions can help mitigate natural disasters.
ISBN: 9780323911665
Dimensions: unknown
Weight: 720g
350 pages