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Generalization With Deep Learning: For Improvement On Sensing Capability (Hardcover): Zhenghua Chen, Min Wu, Xiao-Li Li Generalization With Deep Learning: For Improvement On Sensing Capability (Hardcover)
Zhenghua Chen, Min Wu, Xiao-Li Li
R2,879 Discovery Miles 28 790 Ships in 10 - 15 working days

Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between humans and machines by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data.

Deep Learning for Human Activity Recognition - Second International Workshop, DL-HAR 2020, Held in Conjunction with... Deep Learning for Human Activity Recognition - Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings (Paperback, 1st ed. 2021)
Xiao-Li Li, Min Wu, Zhenghua Chen, Le Zhang
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.

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