[HTML][HTML] Application of machine learning algorithms for nonlinear system forecasting through analytics—A case study with mining influenced water data
KS More, C Wolkersdorfer - Water Resources and Industry, 2023 - Elsevier
Various techniques have been researched and introduced in water treatment plants to
optimise treatment and management processes. This paper presents a solution that can …
optimise treatment and management processes. This paper presents a solution that can …
A fused load curve clustering algorithm based on wavelet transform
The electricity load data recorded by smart meters contain plenty of knowledge that
contributes to obtaining load patterns and consumer categories. Generally, the daily load …
contributes to obtaining load patterns and consumer categories. Generally, the daily load …
sEMG time–frequency features for hand movements classification
S Karheily, A Moukadem, JB Courbot… - Expert Systems with …, 2022 - Elsevier
Abstract Surface Electro-MyoGraphic (sEMG) signals recorded on the forearm can provide
information about the hand movement, which can help control a prosthetic implant for …
information about the hand movement, which can help control a prosthetic implant for …
Optimal feature selection for EMG-based finger force estimation using LightGBM model
Electromyogram (EMG) signal has been long used in human-robot interface in literature,
especially in the area of rehabilitation. Recent rapid development in artificial intelligence (AI) …
especially in the area of rehabilitation. Recent rapid development in artificial intelligence (AI) …
An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running
The smooth interaction and coordination between lower-limb amputees and their prosthetics
is crucial when performing complex tasks such as running. To address this, simultaneous …
is crucial when performing complex tasks such as running. To address this, simultaneous …
Performance evaluation of various classifiers for predicting knee angle from electromyography signals
IS Dhindsa, R Agarwal, HS Ryait - Expert Systems, 2019 - Wiley Online Library
This paper proposes a classification‐based knee angle prediction from myoelectric signals.
Surface electromyographic signals were recorded from four muscles in the lower limb while …
Surface electromyographic signals were recorded from four muscles in the lower limb while …
SEMG feature extraction based on stockwell transform improves hand movement recognition accuracy
H She, J Zhu, Y Tian, Y Wang, H Yokoi, Q Huang - Sensors, 2019 - mdpi.com
Feature extraction, as an important method for extracting useful information from surface
electromyography (SEMG), can significantly improve pattern recognition accuracy. Time and …
electromyography (SEMG), can significantly improve pattern recognition accuracy. Time and …
Robustness of ventilation systems in the control of walking-induced indoor fluctuations: Method development and case study
Walking-induced fluctuations have a significant influence on indoor airflow and pollutant
dispersion. This study developed a method to quantify the robustness of ventilation systems …
dispersion. This study developed a method to quantify the robustness of ventilation systems …
Tensor singular spectrum decomposition algorithm based on permutation entropy for rolling bearing fault diagnosis
Mechanical vibration signal mapped into a high-dimensional space tends to exhibit a
special distribution and movement characteristics, which can further reveal the dynamic …
special distribution and movement characteristics, which can further reveal the dynamic …
An improved wavelet threshold denoising approach for surface electromyography signal
C Ouyang, L Cai, B Liu, T Zhang - EURASIP Journal on Advances in …, 2023 - Springer
Background The surface electromyography (sEMG) signal presents significant challenges
for the dynamic analysis and subsequent examination of muscle movements due to its low …
for the dynamic analysis and subsequent examination of muscle movements due to its low …