How Long to Read Deep Learning Applications of Short-Range Radars

How Long Does it Take to Read Deep Learning Applications of Short-Range Radars?

It takes the average reader 6 hours and 9 minutes to read Deep Learning Applications of Short-Range Radars by Avik Santra

Assuming a reading speed of 250 words per minute. Learn more

Description

This exciting new resource covers various emerging applications of short range radars, including people counting and tracking, gesture sensing, human activity recognition, air-drawing, material classification, object classification, vital sensing by extracting features such as range-Doppler Images (RDI), range-cross range images, Doppler Spectrogram or directly feeding raw ADC data to the classifiers. The book also presents how deep learning architectures are replacing conventional radar signal processing pipelines enabling new applications and results. It describes how deep convolutional neural networks (DCNN), long-short term memory (LSTM), feedforward networks, regularization, optimization algorithms, connectionist This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening. The underpinnings of deep learning are explored, outlining the history of neural networks and the optimization algorithms to train them. Modern deep convolutional neural network (DCNN), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). The application of human activity recognition as well as the application of air-writing using a network of short-range radars are outlined. This book demonstrates and highlights how deep learning is enabling several advanced industrial, consumer and in-cabin applications of short-range radars, which weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.

How long is Deep Learning Applications of Short-Range Radars?

Deep Learning Applications of Short-Range Radars by Avik Santra is 358 pages long, and a total of 92,364 words.

This makes it 121% the length of the average book. It also has 113% more words than the average book.

How Long Does it Take to Read Deep Learning Applications of Short-Range Radars Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 24 minutes to read Deep Learning Applications of Short-Range Radars aloud.

What Reading Level is Deep Learning Applications of Short-Range Radars?

Deep Learning Applications of Short-Range Radars is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Deep Learning Applications of Short-Range Radars?

Deep Learning Applications of Short-Range Radars by Avik Santra is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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