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 …
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 industrial Internet of Things: A cyber-physical systems perspective
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the
integration of massively deployed smart computing and network technologies in industrial …
integration of massively deployed smart computing and network technologies in industrial …
Deep learning and big data technologies for IoT security
Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …
(IoT), which enables communication and interaction with various devices. However, IoT has …
Review on the research and practice of deep learning and reinforcement learning in smart grids
D Zhang, X Han, C Deng - CSEE Journal of Power and Energy …, 2018 - ieeexplore.ieee.org
Smart grids are the developmental trend of power systems and they have attracted much
attention all over the world. Due to their complexities, and the uncertainty of the smart grid …
attention all over the world. Due to their complexities, and the uncertainty of the smart grid …
A survey of deep learning: Platforms, applications and emerging research trends
WG Hatcher, W Yu - IEEE access, 2018 - ieeexplore.ieee.org
Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …
analytical products suffuse our world, in the form of numerous human-centered smart-world …
Toward edge-based deep learning in industrial Internet of Things
As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …
A simulation-driven methodology for IoT data mining based on edge computing
With the ever-increasing diffusion of smart devices and Internet of Things (IoT) applications,
a completely new set of challenges have been added to the Data Mining domain. Edge …
a completely new set of challenges have been added to the Data Mining domain. Edge …
Deep learning in electrical utility industry: A comprehensive review of a decade of research
Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …
decade. With each moving day, some new advanced technologies are coming into the …
Machine learning for security and the internet of things: the good, the bad, and the ugly
The advancement of the Internet of Things (IoT) has allowed for unprecedented data
collection, automation, and remote sensing and actuation, transforming autonomous …
collection, automation, and remote sensing and actuation, transforming autonomous …