Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making
independent of human intervention, represent a revolutionary advancement in transportation …
independent of human intervention, represent a revolutionary advancement in transportation …
A machine learning-oriented survey on tiny machine learning
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …
[HTML][HTML] Anomaly detection based on artificial intelligence of things: A systematic literature map**
Abstract Advanced Machine Learning (ML) algorithms can be applied using Edge
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …
[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning
This article comprehensively reviews the emerging concept of Internet of Intelligent Things
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …
DDD TinyML: a TinyML-based driver drowsiness detection model using deep learning
Driver drowsiness is one of the main causes of traffic accidents today. In recent years, driver
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …
Edge AI for Internet of Medical Things: A literature review
Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …
and monitoring devices that collect data to provide autonomous decision-making and smart …
Synergy of Patent and Open-Source-Driven Sustainable Climate Governance under Green AI: A Case Study of TinyML
T Li, J Luo, K Liang, C Yi, L Ma - Sustainability, 2023 - mdpi.com
Green AI (Artificial Intelligence) and digitalization facilitate the “Dual-Carbon” goal of low-
carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” …
carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” …
Secure architecture for Industrial Edge of Things (IEoT): A hierarchical perspective
P Li, J **a, Q Wang, Y Zhang, M Wu - Computer Networks, 2024 - Elsevier
Abstract The Industrial Internet of Things (IIoT) is an application of the IoT specifically
tailored for industrial manufacturing, characterized by its heightened requirements for …
tailored for industrial manufacturing, characterized by its heightened requirements for …
Integrated Edge Deployable Fault Diagnostic Algorithm for the Internet of Things (IoT): A Methane Sensing Application
The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …
applications. But the faults occurring at the perception layer are prone to misleading the data …
Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System
As the number of Internet of Things (IoT) devices continues to rise dramatically each day, the
data generated and transmitted by them follow similar trends. Given that a significant portion …
data generated and transmitted by them follow similar trends. Given that a significant portion …