Sensor Data Analysis and Management
The Role of Deep Learning
1st Edition
Published on 12. August 2021
Book
Hardback
250 pages
978-1-119-68242-4 (ISBN)
Description
Deep Learning provides powerful tools for solving complex modelling problems across a broad range of industries. The benefits of deep learning are being realized in applications everywhere, including predictive maintenance, health monitoring, financial portfolio forecasting, and advanced driver assistance. As it is evident that deep learning will play a decisive role in solving major problems, this book will provide a better insight into the methods, algorithms and techniques for deep learning practitioners.
Topics that will be covered in this book include the following:
? Internet of things based Human Activity Recognition
? Benefits of Neural Network in Internet of things Application
? Supervised Learning Data Representation
? Convolutional Neural Network for Predicting physical activity based on smartphone sensor data
? Deep Learning Analysis of Location Sensor Data for Human Activity Recognition
? Machine learning for internet of things data analysis
? Deep Learning for IoT Data Analytics
Topics that will be covered in this book include the following:
? Internet of things based Human Activity Recognition
? Benefits of Neural Network in Internet of things Application
? Supervised Learning Data Representation
? Convolutional Neural Network for Predicting physical activity based on smartphone sensor data
? Deep Learning Analysis of Location Sensor Data for Human Activity Recognition
? Machine learning for internet of things data analysis
? Deep Learning for IoT Data Analytics
More details
Other editions
Additional editions
A. Suresh | R. Udendhran | M. S. Irfan Ahmed
Sensor Data Analysis and Management
The Role of Deep Learning
E-Book
12/2021
1st Edition
Wiley-ISTE
€119.99
Available for download
A. Suresh | R. Udendhran | M. S. Irfan Ahmed
Sensor Data Analysis and Management
The Role of Deep Learning
E-Book
11/2021
1st Edition
Wiley-ISTE
€119.99
Available for download
Persons
A. Suresh, PhD is an Associate Professor in the Department of Computer Science and Engineering in SRM Institute of Science & Technology, Kattankulathur, Chengalpattu Dist., Tamil Nadu, India. With nearly two decades of experience in teaching, his areas of specializations include Data Mining, Artificial Intelligence, Image Processing, Multimedia and System Software. He has two patents and has published approximately 90 papers in International journals. He has authored "Industrial IoT Application Architectures and Use Cases" published in CRC press and edited "Deep Neural Networks for Multimodal Imaging and Biomedical Application" published in IGI Global. He has published more than 40 papers in National and International Conferences and has served as editor / reviewer for Springer, Elsevier, Wiley, IGI Global, IoS Press, Inderscience journals, and many more. He is a Senior Member of IEEE, ISTE, MCSI, IACSIT, IAENG, MCSTA and a Global Member of Internet Society (ISOC). He has organized several National Workshops, Conferences and Technical Events. He is regularly invited to deliver lectures in various programs for imparting skills in research methodology to students and research scholars. He has published four books by Indian publishers, in the name of Hospital Management, Data Structures & Algorithms, Computer Programming, Problem Solving and Python?Programming and Programming in "C". He has hosted two special sessions for IEEE sponsored conferences in Osaka, Japan and Thailand.
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R. Udendhran is a deep learning Researcher affiliated with Bharathidasan University (A+ grade government university) in India. He has published five research papers and is indexed in the Web of Science and Scopus databases on the subject of deep learning. He has also presented his research work in an international conference held at University of Cambridge, United Kingdom on the subject of deep learning. He is serving as a manuscript reviewer for ELSEVIER, WILEY, IEEE access, IEEE sensors conferences, Springer, SciPub, and Manning publishers.
M. S. Irfan Ahmed is Associate Professor in the Department of Computer Science and Information, Faculty of Science and Literature at Taibah University. He is a member of ISTE, MCSI, IACSIT, and IAENG.
.
R. Udendhran is a deep learning Researcher affiliated with Bharathidasan University (A+ grade government university) in India. He has published five research papers and is indexed in the Web of Science and Scopus databases on the subject of deep learning. He has also presented his research work in an international conference held at University of Cambridge, United Kingdom on the subject of deep learning. He is serving as a manuscript reviewer for ELSEVIER, WILEY, IEEE access, IEEE sensors conferences, Springer, SciPub, and Manning publishers.
M. S. Irfan Ahmed is Associate Professor in the Department of Computer Science and Information, Faculty of Science and Literature at Taibah University. He is a member of ISTE, MCSI, IACSIT, and IAENG.