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 review on neural networks with random weights
In big data fields, with increasing computing capability, artificial neural networks have shown
great strength in solving data classification and regression problems. The traditional training …
great strength in solving data classification and regression problems. The traditional training …
Learning-driven detection and mitigation of DDoS attack in IoT via SDN-cloud architecture
N Ravi, SM Shalinie - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet-of-Things (IoT) network is growing big owing to its utility in smart applications.
An IoT network is susceptible to security breaches, in majority due to the resource …
An IoT network is susceptible to security breaches, in majority due to the resource …
Non-iterative and fast deep learning: Multilayer extreme learning machines
In the past decade, deep learning techniques have powered many aspects of our daily life,
and drawn ever-increasing research interests. However, conventional deep learning …
and drawn ever-increasing research interests. However, conventional deep learning …
Internet of things connected wireless sensor networks for smart cities
Abstract The Smart City is the most complete and covered framework that meets the need of
different project facets related to the smart city. It allows the cities to use the urban network …
different project facets related to the smart city. It allows the cities to use the urban network …
Semisupervised deep reinforcement learning in support of IoT and smart city services
M Mohammadi, A Al-Fuqaha… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Smart services are an important element of the smart cities and the Internet of Things (IoT)
ecosystems where the intelligence behind the services is obtained and improved through …
ecosystems where the intelligence behind the services is obtained and improved through …
DNN-based indoor localization under limited dataset using GANs and semi-supervised learning
W Njima, A Bazzi, M Chafii - IEEE access, 2022 - ieeexplore.ieee.org
Indoor localization techniques based on supervised learning deliver great performance
accuracy while maintaining low online complexity. However, such systems require massive …
accuracy while maintaining low online complexity. However, such systems require massive …
Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …