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santra deep learning applications short range radars 2021

Type:: E-books
Files:: 1
Size:: 43.8 MB
Uploaded On:: Sept. 11, 2021, 10:56 a.m.
Added By:: andryold1
Seeders:: 1
Leechers:: 0
Info Hash:: DA5553B01CE4C81CACF0C5AF0C9250DAB446EC19

Textbook in PDF format 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

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Santra A. Deep Learning Applications of Short-range Radars 2021.pdf 43.8 MB

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santra deep learning applications short range radars 2021

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