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 …
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 …
Orchestrating the development lifecycle of machine learning-based IoT applications: A taxonomy and survey
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML
techniques unlock the potential of IoT with intelligence, and IoT applications increasingly …
techniques unlock the potential of IoT with intelligence, and IoT applications increasingly …
LSTM learning with Bayesian and Gaussian processing for anomaly detection in industrial IoT
The data generated by millions of sensors in the industrial Internet of Things (IIoT) are
extremely dynamic, heterogeneous, and large scale and pose great challenges on the real …
extremely dynamic, heterogeneous, and large scale and pose great challenges on the real …
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 …
[图书][B] Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
A Kapoor - 2019 - books.google.com
Build smarter systems by combining artificial intelligence and the Internet of Things—two of
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …
From cloud down to things: An overview of machine learning in internet of things
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …
meet the requirement of all IoT applications. The limited computation and communication …
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 …
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 …
Toward deep transfer learning in industrial internet of things
Machine learning techniques have been widely adopted to assist in data analysis in a
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …