AIMC Topic: Neural Networks, Computer

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Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation.

Sensors (Basel, Switzerland)
Segmentation of retinal vessels is a critical step for the diagnosis of some fundus diseases. To further enhance the performance of vessel segmentation, we propose a method based on a gated skip-connection network with adaptive upsampling (GSAU-Net)...

An IoT-Based System for Monitoring the Health of Guyed Towers in Overhead Power Lines.

Sensors (Basel, Switzerland)
The collapse of overhead power line guyed towers is one of the leading causes of power grid failures, subjecting electricity companies to pay considerable, high-value fines. In this way, the current work proposes a novel and complete framework for th...

Comprehensive Survey of Recent Drug Discovery Using Deep Learning.

International journal of molecular sciences
Drug discovery based on artificial intelligence has been in the spotlight recently as it significantly reduces the time and cost required for developing novel drugs. With the advancement of deep learning (DL) technology and the growth of drug-related...

FALCON2: a web server for high-quality prediction of protein tertiary structures.

BMC bioinformatics
BACKGROUND: Accurate prediction of protein tertiary structures is highly desired as the knowledge of protein structures provides invaluable insights into protein functions. We have designed two approaches to protein structure prediction, including a ...

Lightweight Salient Object Detection via Hierarchical Visual Perception Learning.

IEEE transactions on cybernetics
Recently, salient object detection (SOD) has witnessed vast progress with the rapid development of convolutional neural networks (CNNs). However, the improvement of SOD accuracy comes with the increase in network depth and width, resulting in large n...

Convolutional Neural Network Based on Bandwise-Independent Convolution and Hard Thresholding for Hyperspectral Band Selection.

IEEE transactions on cybernetics
Band selection has been widely utilized in hyperspectral image (HSI) classification to reduce the dimensionality of HSIs. Recently, deep-learning-based band selection has become of great interest. However, existing deep-learning-based methods usually...

Fingerprint Identification With Shallow Multifeature View Classifier.

IEEE transactions on cybernetics
This article presents an efficient fingerprint identification system that implements an initial classification for search-space reduction followed by minutiae neighbor-based feature encoding and matching. The current state-of-the-art fingerprint clas...

Automatic Symmetry Detection From Brain MRI Based on a 2-Channel Convolutional Neural Network.

IEEE transactions on cybernetics
Symmetry detection is a method to extract the ideal mid-sagittal plane (MSP) from brain magnetic resonance (MR) images, which can significantly improve the diagnostic accuracy of brain diseases. In this article, we propose an automatic symmetry detec...

Wearable RF Near-Field Cough Monitoring by Frequency-Time Deep Learning.

IEEE transactions on biomedical circuits and systems
Coughing is a common symptom for many respiratory disorders, and can spread droplets of various sizes containing bacterial and viral pathogens. Mild coughs are usually overlooked in the early stage, not only because they are barely noticeable by the ...

T Cell Epitope Prediction and Its Application to Immunotherapy.

Frontiers in immunology
T cells play a crucial role in controlling and driving the immune response with their ability to discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we focus on the currently available computational tools for ep...