Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention
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 t…
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Produktdetails
Weitere Autoren: Alencar, Marcelo (Department of Electrical Engineering, Federal University of Campina Grande, Brazil) (Hrsg.) / Nguyen, Tuan Anh (Principal Research Scientist, Institute for Tropical Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam) (Hrsg.) / Motaung, David (Department of Physics, University of Limpopo, Sovenga, South Africa) (Hrsg.)
- ISBN: 978-0-323-91166-5
- EAN: 9780323911665
- Produktnummer: 38168445
- Verlag: Elsevier - Health Sciences Division
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 350 S.
- Masse: H23.5 cm x B19.1 cm x D0.0 cm 450 g
- Gewicht: 450
- Sonstiges: Professional & Vocational
2 weitere Werke von Denizli, Adil (Professor, Hacettepe University, Department of Chemistry, Ankara, Turkey) (Hrsg.):
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