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Title	Technological Developments In Internet Of Things Using Deep Learning
ID_Doc	54577
Authors	Joshi R.C.; Yadav S.; Yadav V.
Year	2022
Published	Transforming Management with AI, Big-Data, and IoT
DOI	http://dx.doi.org/10.1007/978-3-030-86749-2_15
Abstract	Internet of Things (IoT) has revolutionized different technological fields and applications. Many sensory devices are connected in the network, and an enormous amount of real-time data is associated with that in the form of audio, video and measured numerical data. Deep learning is an advanced field of machine learning that tries to make the computer understand from the input data, and data passes through multiple layers to make necessary prediction and classification. Higher-level features are extracted progressively from the raw input data from multilayer architectures. Integration of deep learning with IoT can efficiently manage these multidimensional large sensory data to extract information from the data, make new predictions, and have a more efficient control mechanism. Different aspects of IoT and deep learning are discussed in this chapter, with various applications in different fields in a comprehensive manner. Multiple applications and challenges are also discussed with current solutions and future directions. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
Author Keywords	Deep learning; Internet of Things (IoT); IoT analytics; Multimedia data analysis; Smart cities

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