Multimodal Intelligent Sensing in Modern by Masood Ur Rehman (.PDF)

File Size: 10 MB

Multimodal Intelligent Sensing in Modern Applications by Masood Ur Rehman, Ahmed Zoha, Muhammad Ali Jamshed, Naeem Ramzan
Requirements: .PDF reader, 10 MB
Overview: Discover the design, implementation, and analytical techniques for multi-modal intelligent sensing in this cutting-edge text. The Internet of Things (IoT) is becoming ever more comprehensively integrated into everyday life. The intelligent systems that power smart technologies rely on increasingly sophisticated sensors in order to monitor inputs and respond dynamically. Multi-modal sensing offers enormous benefits for these technologies, but also comes with greater challenges; it has never been more essential to offer energy-efficient, reliable, interference-free sensing systems for use with the modern Internet of Things. Multimodal Intelligent Sensing in Modern Applications provides an introduction to systems which incorporate multiple sensors to produce situational awareness and process inputs. It is divided into three parts—physical design aspects, data acquisition and analysis techniques, and security and energy challenges—which together cover all the major topics in multi-modal sensing. The result is an indispensable volume for engineers and other professionals looking to design the smart devices of the future.
Genre: Non-Fiction > Tech & Devices

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