Machine Learning-Enabled Smart Sensor Systems - Wiley Online …
First well-known ML algorithms implemented in smart sensor systems for practical sensing applications are discussed.
Artificial Intelligence and Deep Learning in Sensors and …
For instance, in environmental monitoring, sensors integrated with deep learning and AI algorithms possess the capability to swiftly analyze extensive datasets, identifying patterns, …
Machine learning algorithms for wireless sensor networks: A …
Sep 1, 2019 · In this survey, we present various ML-based algorithms for WSNs with their advantages, drawbacks, and parameters effecting the network lifetime, covering the period …
Machine learning and computation-enabled intelligent sensor design - Nature
Jun 28, 2021 · We envision a new generation of computational sensing systems that reduce the data burden while also improving sensing capabilities, enabling low-cost and compact sensor …
Anomaly detection in wireless sensor network using machine learning ...
Feb 1, 2020 · In this paper, we formulate an Online Locally Weighted Projection Regression (OLWPR) for anomaly detection in Wireless Sensor Network. Linear Weighted Projection …
In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks …
(PDF) Machine Learning in Wireless Sensor Networks: Algorithms ...
May 18, 2014 · In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor …
Anomaly Detection using Machine Learning Techniques in Wireless Sensor ...
Jan 1, 2021 · Our aim is to provide an intrusion detection model compatible with the characteristics of WSN. This model is built based on information gain ratio and the online …
A two-step machine learning approach for predictive …
Using Environmental Sensor Telemetry Data, this study introduces a novel methodology that combines unsupervised and supervised machine learning approaches to detect anomalies and …
An Anomaly Node Detection Method for Wireless Sensor …
5 days ago · Wireless sensor networks (WSNs) use distributed nodes for tasks such as environmental monitoring and surveillance. The existing anomaly detection methods fail to …