[HTML][HTML] An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment
Abstract Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …
[HTML][HTML] Iot anomaly detection to strengthen cybersecurity in the critical infrastructure of smart cities
This study addresses anomaly detection in smart city environments driven by the Internet of
Things. In these cities, digital interconnection and the extensive network of sensors generate …
Things. In these cities, digital interconnection and the extensive network of sensors generate …
Smart audio sensors in the internet of things edge for anomaly detection
Everyday objects are becoming smart enough to directly connect to other nearby and remote
objects and systems. These objects increasingly interact with machine learning applications …
objects and systems. These objects increasingly interact with machine learning applications …
Toward a full exploitation of IoT in smart cities: A review of IoT anomaly detection techniques
The world is currently progressing towards a new connectivity era where billions of sensors
are connected over a network called the Internet of Things (IoT). IoT enables a wide range of …
are connected over a network called the Internet of Things (IoT). IoT enables a wide range of …
Building an intelligent anomaly detection model with ensemble learning for IoT-based smart cities
Abstract Internet of Things (IoT) solutions are enabling smart cities across the planet. A smart
city concept demands the incorporation of communication and information technologies and …
city concept demands the incorporation of communication and information technologies and …
Deep learning and gradient boosting for urban environmental noise monitoring in smart cities
Every day the innovative IoT technology is expanding further and further in our environment,
with applications deployed in various contexts including cities. Communities can indeed …
with applications deployed in various contexts including cities. Communities can indeed …
Wireless IoT monitoring system in Hong Kong–Zhuhai–Macao bridge and edge computing for anomaly detection
The emergence of the Internet of Things (IoT) has facilitated the development and usage of
low-computational microcontrollers at the edge of the network, which process data in the …
low-computational microcontrollers at the edge of the network, which process data in the …
Distributed anomaly detection using autoencoder neural networks in WSN for IoT
T Luo, SG Nagarajan - 2018 ieee international conference on …, 2018 - ieeexplore.ieee.org
Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging
the gap between the physical and the cyber worlds. Anomaly detection is a critical task in …
the gap between the physical and the cyber worlds. Anomaly detection is a critical task in …
A deep lstm based approach for intrusion detection iot devices network in smart home
The technological advancement of the Internet of Things (IoT) devices in our world today has
become beneficial to many users but has security issues that are left unattended. IoT …
become beneficial to many users but has security issues that are left unattended. IoT …
A framework for anomaly detection and classification in Multiple IoT scenarios
The investigation of anomalies is an important element in many scientific research fields. In
recent years, this activity has been also extended to social networking and social …
recent years, this activity has been also extended to social networking and social …