[HTML][HTML] Anomaly detection based on artificial intelligence of things: A systematic literature mapping
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] Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety
SK Jagatheesaperumal, SE Bibri, J Huang… - Computational Urban …, 2024 - Springer
In the context of smart cities, ensuring road safety is crucial due to increasing urbanization
and the interconnected nature of contemporary urban environments. Leveraging innovative …
and the interconnected nature of contemporary urban environments. Leveraging innovative …
Edge Device Fault Probability Based Intelligent Calculations for Fault Probability of Smart Systems
S Li, T Cui, W Viriyasitavat - Tsinghua Science and Technology, 2024 - ieeexplore.ieee.org
In a smart system, the faults of edge devices directly impact the system's overall fault.
Further, complexity arises when different edge devices provide varying fault data. To study …
Further, complexity arises when different edge devices provide varying fault data. To study …
[HTML][HTML] Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis
In an epoch characterized by the swift pace of digitalization and urbanization, the essence of
community well-being hinges on the efficacy of urban management. As cities burgeon and …
community well-being hinges on the efficacy of urban management. As cities burgeon and …
Enhancing secret key distribution through advanced color modulation in visible light communication
Visible light communication (VLC) has emerged as a dynamic area of research poised to
revolutionize high-speed wireless communication. VLC technology uses light-emitting …
revolutionize high-speed wireless communication. VLC technology uses light-emitting …
[HTML][HTML] Evaluation of a Machine Learning Algorithm to Classify Ultrasonic Transducer Misalignment and Deployment Using TinyML
D Brennan, P Galvin - Sensors, 2024 - mdpi.com
The challenge for ultrasonic (US) power transfer systems, in implanted/wearable medical
devices, is to determine when misalignment occurs (eg, due to body motion) and apply …
devices, is to determine when misalignment occurs (eg, due to body motion) and apply …
[HTML][HTML] Privacy preservation in sensor-based Human Activity Recognition through autoencoders for low-power IoT devices
Human activity recognition is increasingly recognized as a key task in many applications.
However, gathering data from the variety of sensors commonly available on end devices …
However, gathering data from the variety of sensors commonly available on end devices …
ASPED: An Audio Dataset for Detecting Pedestrians
We introduce the new audio analysis task of pedestrian detection and present a new large-
scale dataset for this task. While the preliminary results prove the viability of using audio …
scale dataset for this task. While the preliminary results prove the viability of using audio …
Towards Large-Scale IoT Deployments in Smart Cities: Requirements and Challenges
Abstract The Internet of Things (IoT) plays a significant role in the development and future
evolution of smart cities by connecting physical devices and systems to the Internet to collect …
evolution of smart cities by connecting physical devices and systems to the Internet to collect …
Sharing ML models using IoT communities of Interest based on data similarity and location
MS Mwaruah - 2024 - repositori.uji.es
The main goal of this master thesis is to develop an efficient method for sharing Machine
Learning models across Internet of Things devices. To achieve this, the research work …
Learning models across Internet of Things devices. To achieve this, the research work …