Internet of things as system of systems: A review of methodologies, frameworks, platforms, and tools
The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …
[HTML][HTML] Edge machine learning for ai-enabled iot devices: A review
In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …
[HTML][HTML] A survey on evolved LoRa-based communication technologies for emerging internet of things applications
The concept of Internet of Things (IoT) greatly extends the coverage area that human being
is able to perceive, access, and even control. By connecting various “Things” to the Internet …
is able to perceive, access, and even control. By connecting various “Things” to the Internet …
DITrust chain: towards blockchain-based trust models for sustainable healthcare IoT systems
Today, internet and device ubiquity are paramount in individual, formal and societal
considerations. Next generation communication technologies, such as Blockchains (BC) …
considerations. Next generation communication technologies, such as Blockchains (BC) …
Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence
Prostate cancer is one of the most common forms of cancer in men in many countries. The
survival rate can be significantly enhanced with early detection of the cancer so that …
survival rate can be significantly enhanced with early detection of the cancer so that …
6G white paper on edge intelligence
In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and
beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning …
beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning …
[HTML][HTML] Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to
cooperatively train a deep learning model, without the need to share their local data. It is a …
cooperatively train a deep learning model, without the need to share their local data. It is a …
Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms
H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
[HTML][HTML] Intrusion detection system for the internet of things based on blockchain and multi-agent systems
With the popularity of Internet of Things (IoT) technology, the security of the IoT network has
become an important issue. Traditional intrusion detection systems have their limitations …
become an important issue. Traditional intrusion detection systems have their limitations …
Evaluating IoT platforms using integrated probabilistic linguistic MCDM method
Evaluating the Internet-of-Things (IoT) platforms is a crucial step in the development and
deployment process of IoT applications. It is still an open issue. In this article, evaluating the …
deployment process of IoT applications. It is still an open issue. In this article, evaluating the …