AIMC Topic: Convolutional Neural Networks

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Band power feature part-based convolutional neural network with African vulture optimization fostered channel selection for EEG classification.

Computer methods in biomechanics and biomedical engineering Jun 22, 2024
The electroencephalogram-based motor imagery (MI-EEG) classification task is significant for brain-computer interface (BCI). EEG signals need a lot of channels to be acquired, which makes it difficult to use in real-world applications. Choosing the o...
Humans Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Algorithms Convolutional Neural Networks Neural Networks, Computer
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Deep Siamese domain adaptation convolutional neural network-based quaternion fractional order Meixner moments fostered big data analytical method for enhancing cloud data security.

Network (Bristol, England) Jun 11, 2024
In this paper, Quaternion Fractional Order Meixner Moments-based Deep Siamese Domain Adaptation Convolutional Neural Network-based Big Data Analytical Technique is proposed for improving Cloud Data Security (DSDA-CNN-QFOMM-BD-CDS). The proposed metho...
Cloud Computing Big Data Computer Security Neural Networks, Computer Convolutional Neural Networks Humans
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Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization.

Network (Bristol, England) Jun 10, 2024
Predicting the stock market is one of the significant chores and has a successful prediction of stock rates, and it helps in making correct decisions. The prediction of the stock market is the main challenge due to blaring, chaotic data as well as no...
Humans Neural Networks, Computer Support Vector Machine Memory, Short-Term Investments Algorithms Convolutional Neural Networks
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Improved deep learning for automatic localisation and segmentation of rectal cancer on T2-weighted MRI.

Journal of medical radiation sciences Apr 24, 2024
INTRODUCTION: The automatic segmentation approaches of rectal cancer from magnetic resonance imaging (MRI) are very valuable to relieve physicians from heavy workloads and enhance working efficiency. This study aimed to compare the segmentation accur...
Retrospective Studies Female Middle Aged Deep Learning Male Adenocarcinoma Convolutional Neural Networks Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Rectal Neoplasms
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An innovative breast cancer detection framework using multiscale dilated densenet with attention mechanism.

Network (Bristol, England) Apr 22, 2024
Cancer-related deadly diseases affect both developed and underdeveloped nations worldwide. Effective network learning is crucial to more reliably identify and categorize breast carcinoma in vast and unbalanced image datasets. The absence of early can...
Convolutional Neural Networks Image Processing, Computer-Assisted Algorithms Image Interpretation, Computer-Assisted Female Humans Breast Neoplasms Neural Networks, Computer
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Topological information embedded convolutional neural network-based lotus effect optimization for path improvisation of the mobile anchors in wireless sensor networks.

Network (Bristol, England) Apr 22, 2024
Wireless sensor networks (WSNs) rely on mobile anchor nodes (MANs) for network connectivity, data aggregation, and location information. However, MANs' mobility can disrupt energy consumption and network performance. Effective path improvisation algo...
Computer Communication Networks Wireless Technology Computer Simulation Convolutional Neural Networks Neural Networks, Computer Algorithms
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Automated Detection of Cerebral Microbleeds on Two-dimensional Gradient-recalled Echo T2* Weighted Images Using a Morphology Filter Bank and Convolutional Neural Network.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Mar 15, 2024
PURPOSE: We present a novel algorithm for the automated detection of cerebral microbleeds (CMBs) on 2D gradient-recalled echo T2* weighted images (T2*WIs). This approach combines a morphology filter bank with a convolutional neural network (CNN) to i...
Brain Cerebral Hemorrhage Retrospective Studies Image Interpretation, Computer-Assisted Female Humans Image Processing, Computer-Assisted Neural Networks, Computer Male Aged Magnetic Resonance Imaging Algorithms Middle Aged Aged, 80 and over Convolutional Neural Networks
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A multi-branch convolutional neural network for snoring detection based on audio.

Computer methods in biomechanics and biomedical engineering Feb 19, 2024
Obstructive sleep apnea (OSA) is associated with various health complications, and snoring is a prominent characteristic of this disorder. Therefore, the exploration of a concise and effective method for detecting snoring has consistently been a cruc...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Snoring Convolutional Neural Networks
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Haemorrhage diagnosis in colour fundus images using a fast-convolutional neural network based on a modified U-Net.

Network (Bristol, England) Feb 12, 2024
Retinal haemorrhage stands as an early indicator of diabetic retinopathy, necessitating accurate detection for timely diagnosis. Addressing this need, this study proposes an enhanced machine-based diagnostic test for diabetic retinopathy through an u...
Convolutional Neural Networks Neural Networks, Computer Humans Retinal Hemorrhage Image Processing, Computer-Assisted Reproducibility of Results Fundus Oculi Diabetic Retinopathy Sensitivity and Specificity
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Convolutional neural network-based measurement of crown-implant ratio for implant-supported prostheses.

The Journal of prosthetic dentistry Jan 25, 2024
STATEMENT OF PROBLEM: Research has revealed that the crown-implant ratio (CIR) is a critical variable influencing the long-term stability of implant-supported prostheses in the oral cavity. Nevertheless, inefficient manual measurement and varied meas...
Crowns Dental Prosthesis, Implant-Supported Convolutional Neural Networks Dental Implants Dental Prosthesis Design Humans Neural Networks, Computer
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