Machine learning and data analytics for the IoT
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …
generating a large amount of data required for intelligent data processing. However, the …
Deep learning for Internet of Things data analytics
TJ Saleem, MA Chishti - Procedia computer science, 2019 - Elsevier
The recent technological innovations and brisk amalgamation of domains such as sensing
and actuating technologies, embedded systems, wireless communication, and data …
and actuating technologies, embedded systems, wireless communication, and data …
Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective
J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
Performance analysis and comparison of machine and deep learning algorithms for IoT data classification
In recent years, the growth of Internet of Things (IoT) as an emerging technology has been
unbelievable. The number of networkenabled devices in IoT domains is increasing …
unbelievable. The number of networkenabled devices in IoT domains is increasing …
[HTML][HTML] A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
The role of machine learning techniques in internet of things-based cloud applications
S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …
applications plays a significant role in our everyday life. As indicated by Gartner's recent …
IoT data analytics in dynamic environments: From an automated machine learning perspective
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
Analysis of eight data mining algorithms for smarter Internet of Things (IoT)
Abstract Internet of Things (IoT) is set to revolutionize all aspects of our lives. The number of
objects connected to IoT is expected to reach 50 billion by 2020, giving rise to an enormous …
objects connected to IoT is expected to reach 50 billion by 2020, giving rise to an enormous …
Deep learning for IoT big data and streaming analytics: A survey
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …
and/or generate various sensory data over time for a wide range of fields and applications …
A survey on deep learning empowered IoT applications
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …
future and thereby has drawn significant interests in recent years. IoT consists of billions of …