Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention 1st Edition – Ebook PDF Instant Delivery – ISBN(s): 9780323911665,9780323998284,0323911668,0323998283
Product details:
- ISBN-10 : 0323998283
- ISBN-13 : 9780323998284
- Author: Adil Denizli, Marcelo S. Alencar, Tuan Anh Nguyen, David Motaung
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.
Table contents:
Chapter 1: Application of nanotechnology in disaster prevention: An introduction
Chapter 2: Nanomaterials for construction building products designed to withstand natural disasters
Chapter 3: Nano-sensors and nano-devices for biological disaster monitoring (virus/disease epidemics/animal plagues detections)
Chapter 4: Internet of Things-based disaster management system
Chapter 5: Nanosensors for smartphone-enabled sensing devices
Chapter 6: Smart and autonomous (self-powered) nanosensor networks
Chapter 7: Nanosensors for smartphone sensing method
Chapter 8: Nanotechnology in the space industry
Chapter 9: Unmanned aerial vehicles (UAVs) for disaster management
Chapter 10: The role of satellite remote sensing in natural disaster management
Chapter 11: The synergy of remote sensing and geographical information systems in the management of natural disasters
Chapter 12: Small satellites for disaster monitoring
Chapter 13: A comparative study of deep learning-based time-series forecasting techniques for fine-scale urban extreme heat prediction using Internet of Things observations
Chapter 14: Satellite and aerial remote sensing in disaster management: An introduction
Chapter 15: Emerging role of unmanned aerial vehicles (UAVs) for disaster management applications
Chapter 16: Smart remote sensing network for early warning of disaster risks
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