TY - CHAP
T1 - In Search of the Future Technologies
T2 - Fusion of Machine Learning, Fog and Edge Computing in the Internet of Things
AU - Naveen, Soumyalatha
AU - Kounte, Manjunath R.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - With the rapid growth of smart devices connected to the internet, the paradigm Internet of Things (IoT) is used in plenty of applications. This led to the emergence of different computing paradigm such as Cloud computing, Fog computing, Edge Computing using artificial intelligence model such as machine learning to analyze and to get some valuable information and to predict the future from the raw data. This paper provides details about computing paradigm, applications, and its advantages and limitations. This paper also brings different kinds of important neural networks and its usability for distinct inputs such as images, audio, video etc. We envision this paper helps for student researcher for understanding the IoT, computing paradigms and artificial neural networks, to work further in these emerging domains.
AB - With the rapid growth of smart devices connected to the internet, the paradigm Internet of Things (IoT) is used in plenty of applications. This led to the emergence of different computing paradigm such as Cloud computing, Fog computing, Edge Computing using artificial intelligence model such as machine learning to analyze and to get some valuable information and to predict the future from the raw data. This paper provides details about computing paradigm, applications, and its advantages and limitations. This paper also brings different kinds of important neural networks and its usability for distinct inputs such as images, audio, video etc. We envision this paper helps for student researcher for understanding the IoT, computing paradigms and artificial neural networks, to work further in these emerging domains.
UR - https://www.scopus.com/pages/publications/85080067179
UR - https://www.scopus.com/inward/citedby.url?scp=85080067179&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-24643-3_33
DO - 10.1007/978-3-030-24643-3_33
M3 - Chapter
AN - SCOPUS:85080067179
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 278
EP - 285
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -