Echo state network applied for classification of medium voltage insulators
Insulators are components of electrical power grid that have the function of mechanically
supporting cables and isolating electrical potential. The proper functioning of the insulators …
supporting cables and isolating electrical potential. The proper functioning of the insulators …
Time series classification using diversified ensemble deep random vector functional link and resnet features
WX Cheng, PN Suganthan, R Katuwal - Applied Soft Computing, 2021 - Elsevier
Abstract Random Vector Functional Link (RVFL) is popular among researchers in many
areas of machine learning. RVFL is preferred by many researchers as RVFL can produce …
areas of machine learning. RVFL is preferred by many researchers as RVFL can produce …
EEG-based emotion recognition using random Convolutional Neural Networks
Emotion recognition based on electroencephalogram (EEG) signals is helpful in various
fields, including medical healthcare. One possible medical application is to diagnose …
fields, including medical healthcare. One possible medical application is to diagnose …
Time series classification: Nearest neighbor versus deep learning models
W Jiang - SN Applied Sciences, 2020 - Springer
Time series classification has been an important and challenging research task. In different
domains, time series show different patterns, which makes it difficult to design a global …
domains, time series show different patterns, which makes it difficult to design a global …
Dynamic multi-scale convolutional neural network for time series classification
Time series classification is an essential task in many real-world application domains. As a
popular deep learning network, convolutional neural networks have achieved excellent …
popular deep learning network, convolutional neural networks have achieved excellent …
Simulation platform for pattern recognition based on reservoir computing with memristor networks
Memristive systems and devices are potentially available for implementing reservoir
computing (RC) systems applied to pattern recognition. However, the computational ability …
computing (RC) systems applied to pattern recognition. However, the computational ability …
Development of a smart chair sensors system and classification of sitting postures with deep learning algorithms
T Aminosharieh Najafi, A Abramo, K Kyamakya… - Sensors, 2022 - mdpi.com
Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the
population. Long hours of sitting, especially in wrong postures, may result in health …
population. Long hours of sitting, especially in wrong postures, may result in health …
Fault diagnosis of power-shift system in continuously variable transmission tractors based on improved Echo State Network
G Wang, L Xue, Y Zhu, Y Zhao, H Jiang… - Engineering Applications of …, 2023 - Elsevier
For better reliability of tractors with continuously variable transmission, reported here is fault
diagnosis of their power-shift systems. First, four hydraulic system faults are analyzed, ie …
diagnosis of their power-shift systems. First, four hydraulic system faults are analyzed, ie …
Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition
In the 3D skeleton-based action recognition task, learning rich spatial and temporal motion
patterns from body joints are two foundational yet under-explored problems. In this paper …
patterns from body joints are two foundational yet under-explored problems. In this paper …
DRS-Net: A spatial–temporal affective computing model based on multichannel EEG data
Affective computing based on electroencephalography (EEG) is a promising field that highly
integrates research and technology. A critical challenge is effectively extracting and …
integrates research and technology. A critical challenge is effectively extracting and …