AIMC Topic: Neural Networks, Computer

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Automatic fall detection using region-based convolutional neural network.

International journal of injury control and safety promotion
The common classifiers usually used to detect fall incidents depend on building and maintaining complex feature extraction for accurate machine learning tasks. However, these efforts have not succeeded in determining an ideal classifier or feature ex...

Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images.

Medical physics
PURPOSE: The purpose of this work was to evaluate the performance of X-Net, a multiview deep learning architecture, to automatically label vertebral levels (S2-C1) in palliative radiotherapy simulation CT scans.

Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT.

Sensors (Basel, Switzerland)
Insect detection and control at an early stage are essential to the built environment (human-made physical spaces such as homes, hotels, camps, hospitals, parks, pavement, food industries, etc.) and agriculture fields. Currently, such insect control ...

Hybrid Attention Network for Language-Based Person Search.

Sensors (Basel, Switzerland)
Language-based person search retrieves images of a target person using natural language description and is a challenging fine-grained cross-modal retrieval task. A novel hybrid attention network is proposed for the task. The network includes the foll...

Enhanced Spatial and Extended Temporal Graph Convolutional Network for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland)
In the skeleton-based human action recognition domain, the spatial-temporal graph convolution networks (ST-GCNs) have made great progress recently. However, they use only one fixed temporal convolution kernel, which is not enough to extract the tempo...

VI-Net-View-Invariant Quality of Human Movement Assessment.

Sensors (Basel, Switzerland)
We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data. Our end-to-end convolutional neural network consists of two stages, where at first a view-invariant trajectory descripto...

Automatic detection of non-perfusion areas in diabetic macular edema from fundus fluorescein angiography for decision making using deep learning.

Scientific reports
Vision loss caused by diabetic macular edema (DME) can be prevented by early detection and laser photocoagulation. As there is no comprehensive detection technique to recognize NPA, we proposed an automatic detection method of NPA on fundus fluoresce...

Virtual to Real Adaptation of Pedestrian Detectors.

Sensors (Basel, Switzerland)
Pedestrian detection through Computer Vision is a building block for a multitude of applications. Recently, there has been an increasing interest in convolutional neural network-based architectures to execute such a task. One of these supervised netw...

Face and Body-Based Human Recognition by GAN-Based Blur Restoration.

Sensors (Basel, Switzerland)
The long-distance recognition methods in indoor environments are commonly divided into two categories, namely face recognition and face and body recognition. Cameras are typically installed on ceilings for face recognition. Hence, it is difficult to ...

Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers.

Journal of translational medicine
BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on the fusion of multi-biomarker data; glucose, lactate, pH, potassium, and oxygen tension, to serve as a patient-specific attribute in hemorrhagic traum...