Machine learning and deep learning in phononic crystals and metamaterials–A review
Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …
structural design exploration which leads to new technological advancements. By …
[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
Wearable sensor-based human activity recognition with transformer model
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
SS Bangaru, C Wang, SA Busam… - Automation in …, 2021 - Elsevier
Construction worker activity recognition is essential for worker performance and safety
assessment. With the development of wearable sensing technologies, many researchers …
assessment. With the development of wearable sensing technologies, many researchers …
Load forecasting under concept drift: Online ensemble learning with recurrent neural network and ARIMA
RK Jagait, MN Fekri, K Grolinger, S Mir - IEEE Access, 2021 - ieeexplore.ieee.org
Rapid expansion of smart metering technologies has enabled large-scale collection of
electricity consumption data and created the foundation for sensor-based load forecasting …
electricity consumption data and created the foundation for sensor-based load forecasting …
Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer
An automated system that identifies work at height and the fastening state of safety hooks
using wearable sensors was developed to prevent falls from height (FFH). This system …
using wearable sensors was developed to prevent falls from height (FFH). This system …
Epileptic eeg classification by using time-frequency images for deep learning
Epilepsy is one of the most common brain disorders worldwide. The most frequently used
clinical tool to detect epileptic events and monitor epilepsy patients is the EEG recordings …
clinical tool to detect epileptic events and monitor epilepsy patients is the EEG recordings …
Emotion recognition from ECG signals using wavelet scattering and machine learning
A Sepúlveda, F Castillo, C Palma… - Applied Sciences, 2021 - mdpi.com
Affect detection combined with a system that dynamically responds to a person's emotional
state allows an improved user experience with computers, systems, and environments and …
state allows an improved user experience with computers, systems, and environments and …
One-dimensional CNN approach for ECG arrhythmia analysis in fog-cloud environments
Cardiovascular diseases are considered the number one cause of death across the globe
which can be primarily identified by the abnormal heart rhythms of the patients. By …
which can be primarily identified by the abnormal heart rhythms of the patients. By …
Mental stress assessment using ultra short term HRV analysis based on non-linear method
Mental stress is on the rise as one of the major health problems in modern society. It is
important to detect and manage mental stress to prevent various diseases caused by stress …
important to detect and manage mental stress to prevent various diseases caused by stress …