Ship detention prediction via feature selection scheme and support vector machine (SVM)
Ship detention decision plays a key role in port state control (PSC) inspection process,
which is compactly related to navigation safety and maritime environmental protection. Many …
which is compactly related to navigation safety and maritime environmental protection. Many …
MSFF-Net: multi-stream feature fusion network for surface electromyography gesture recognition
X Peng, X Zhou, H Zhu, Z Ke, C Pan - PLoS One, 2022 - journals.plos.org
In the field of surface electromyography (sEMG) gesture recognition, how to improve
recognition accuracy has been a research hotspot. The rapid development of deep learning …
recognition accuracy has been a research hotspot. The rapid development of deep learning …
[Retracted] News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model
N Sun, C Du - Complexity, 2021 - Wiley Online Library
This paper uses the database as the data source, using bibliometrics and visual analysis
methods, to statistically analyze the relevant documents published in the field of text …
methods, to statistically analyze the relevant documents published in the field of text …
Retrospective Study of Convolutional Neural Network for Medical Image Analysis and a Deep Insight Through Histopathological Dataset
Convolutional neural network (CNN) has become a prominent technology of choice in
medical image analysis as CNN is easy to train and requires less pre-processing of data …
medical image analysis as CNN is easy to train and requires less pre-processing of data …
Invasive ductal carcinoma grade classification in histopathological images using transfer learning approach
E Kumaraswamy, S Sharma… - 2021 IEEE Bombay …, 2021 - ieeexplore.ieee.org
Cancer is the greatest cause of mortality in the world wherein; Breast Invasive Ductal
Carcinoma (IDC) is the second leading cause of death among women. Computer-assisted …
Carcinoma (IDC) is the second leading cause of death among women. Computer-assisted …
A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks
K Wu, E Shunzhuo, N Yang, A Zhang, X Yan, C Mu… - Neural Networks, 2025 - Elsevier
Biomedical signals, encapsulating vital physiological information, are pivotal in elucidating
human traits and conditions, serving as a cornerstone for advancing human–machine …
human traits and conditions, serving as a cornerstone for advancing human–machine …
Direct comparison of SVM and LR classifier for SEMG signal classification using TFD features
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The performance of any bio-medical signal based robotic device depends upon the
classification accuracy of the system. In this context, surface electromyography (SEMG) …
classification accuracy of the system. In this context, surface electromyography (SEMG) …
A Machine Learning Model for Accurate Credit Risk Forecasting in Banking Systems: An Empirical Investigation
M Hasni, MS Aguir, MZ Babai… - International Journal of …, 2024 - search.proquest.com
Credit risk consists is the expectation of losses stemming from the inability of a borrower to
repay a loan. For the purpose of accurate control of credit risks, banking systems seek …
repay a loan. For the purpose of accurate control of credit risks, banking systems seek …
Analysis of MLP and DSLVQ classifiers for EEG signals based movements identification
Y Narayan - 2021 2nd Global Conference for Advancement in …, 2021 - ieeexplore.ieee.org
Brain-Computer Interfacing (BCI) is the latest research trend for develo** the rehabilitation
robotic system based on electroencephalogram (EEG) signals to make human life more …
robotic system based on electroencephalogram (EEG) signals to make human life more …
DWT-based hand movement identification of EMG signals using SVM
Electromyogram (EMG) signals are widely used in rehabilitation, medical, engineering,
robotic, and industrial fields. For amputee's residual muscles control, EMG signals have …
robotic, and industrial fields. For amputee's residual muscles control, EMG signals have …