CAFD: Context-aware fault diagnostic scheme towards sensor faults utilizing machine learning
Sensors' existence as a key component of Cyber-Physical Systems makes it susceptible to
failures due to complex environments, low-quality production, and aging. When defective …
failures due to complex environments, low-quality production, and aging. When defective …
ROS system facial emotion detection using machine learning for a low-cost robot based on Raspberry Pi
Facial emotion recognition (FER) is a field of research with multiple solutions in the state-of-
the-art, focused on fields such as security, marketing or robotics. In the literature, several …
the-art, focused on fields such as security, marketing or robotics. In the literature, several …
SA1D-CNN: A separable and attention based lightweight sensor fault diagnosis method for solar insecticidal lamp Internet of Things
Sensor faults can produce abnormal and spurious observations in the solar insecticidal
lamp Internet of Things (SIL-IoTs) system. Early detection and identification of the sensor …
lamp Internet of Things (SIL-IoTs) system. Early detection and identification of the sensor …
IoT‐Pi: a machine learning‐based lightweight framework for cost‐effective distributed computing using IoT
It is possible to develop intelligent and self‐adaptive application on the edge nodes with
rapid increase in computational capability of Internet of Things (IoT) devices. With the rapid …
rapid increase in computational capability of Internet of Things (IoT) devices. With the rapid …
Fault detection of electric vehicle using machine learning algorithm
K Vinothini, KS Harshavardhan… - … on Electronics and …, 2022 - ieeexplore.ieee.org
This project aims to build prototype of fault detection and prediction of an electric vehicle
using Naive Bayes algorithm. In this proposed technique, four machine learning algorithms …
using Naive Bayes algorithm. In this proposed technique, four machine learning algorithms …
Fundamentals of chemical sensors and biosensors
Chemical sensors and biosensors are essential tools for detecting and monitoring chemical
and biological events and analytes in various applications. This chapter provides an …
and biological events and analytes in various applications. This chapter provides an …
[PDF][PDF] Multiple Fault Detection and Smart Monitoring System Based on Machine Learning Classifiers for Infant Incubators Using Raspberry Pi 4.
Accepted: 31 October 2022 The most significant and sensitive component of the biomedical
field is the care of newborn newborns. Because of their gestational age or birth weight …
field is the care of newborn newborns. Because of their gestational age or birth weight …
Machine learning-based sensor drift fault classification using discrete cosine transform
MN Hasan, I Koo - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In fourth industrial revolution sensors are playing a crucial role as they provide a real time
health and operating conditions of a physical system through continuous real time data. With …
health and operating conditions of a physical system through continuous real time data. With …
scalib: A warehouse sensor fault detection and self-calibration technique for sustainable iot
The utility of the deployment of IoT sensor nodes in Smart Cities is mainly dependent on the
accurate data generated by the sensors. Hence, automatic detection of sensor faults and self …
accurate data generated by the sensors. Hence, automatic detection of sensor faults and self …
Improved Image-Based Welding Status Recognition with Dimensionality Reduction and Shallow Learning
GRB Ferreira, HVH Ayala - Experimental Mechanics, 2022 - Springer
Background The recent advances in the manufacturing industry, mainly fueled by the fourth
industrial revolution, and the shortage of skilled welders are boosting research towards …
industrial revolution, and the shortage of skilled welders are boosting research towards …