AIMC Topic: Radar

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Significant wave height prediction from X-band marine radar images using deep learning with 3D convolutions.

PloS one Oct 30, 2023
This research introduces a deep learning method for ocean wave height estimation utilizing a Convolutional Neural Network (CNN) based on the VGGNet. The model is trained on a dataset comprising buoy wave heights and radar images, both critical for ma...
Imaging, Three-Dimensional Radar Neural Networks, Computer Deep Learning Reproducibility of Results
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Comparative Analysis of Audio Processing Techniques on Doppler Radar Signature of Human Walking Motion Using CNN Models.

Sensors (Basel, Switzerland) Oct 26, 2023
Artificial intelligence (AI) radar technology offers several advantages over other technologies, including low cost, privacy assurance, high accuracy, and environmental resilience. One challenge faced by AI radar technology is the high cost of equipm...
Humans Artificial Intelligence Fourier Analysis Radar Walking Signal Processing, Computer-Assisted
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Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency-modulated continuous-wave radar.

Journal of sleep research Sep 26, 2023
Given the significant impact of sleep on overall health, radar technology offers a promising, non-invasive, and cost-effective avenue for the early detection of sleep disorders, even prior to relying on polysomnography (PSG)-based classification. In ...
Sleep Stages Sleep Apnea, Obstructive Deep Learning Radar Humans Sleep
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Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2023
Synthetic aperture radar (SAR) automatic target recognition (ATR) is a crucial technique utilized in various scenarios of geoscience and remote sensing. Despite the remarkable success of convolutional neural networks (CNNs) in optical vision tasks, t...
Humans Neural Networks, Computer Radar Cognition
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Combined CNN and RNN Neural Networks for GPR Detection of Railway Subgrade Diseases.

Sensors (Basel, Switzerland) Jun 6, 2023
Vehicle-mounted ground-penetrating radar (GPR) has been used to non-destructively inspect and evaluate railway subgrade conditions. However, existing GPR data processing and interpretation methods mostly rely on time-consuming manual interpretation, ...
Radar Neural Networks, Computer Deep Learning Machine Learning
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Challenges in Developing a Real-Time Bee-Counting Radar.

Sensors (Basel, Switzerland) Jun 1, 2023
Detailed within is an attempt to implement a real-time radar signal classification system to monitor and count bee activity at the hive entry. There is interest in keeping records of the productivity of honeybees. Activity at the entrance can be a go...
Bees Support Vector Machine Radar Ultrasonography, Doppler Machine Learning Animals
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Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing.

IEEE transactions on neural networks and learning systems Jun 1, 2023
Event-based neural networks are currently being explored as efficient solutions for performing AI tasks at the extreme edge. To fully exploit their potential, event-based neural networks coupled to adequate preprocessing must be investigated. Within ...
Gestures Generalization, Psychological Neural Networks, Computer Recognition, Psychology Radar
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Fault Diagnosis of the Autonomous Driving Perception System Based on Information Fusion.

Sensors (Basel, Switzerland) May 26, 2023
The reliability of autonomous driving sensing systems impacts the overall safety of the driving system. However, perception system fault diagnosis is currently a weak area of research, with limited attention and solutions. In this paper, we present a...
Neural Networks, Computer Radar Reproducibility of Results Computer Simulation Perception
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Radar Human Activity Recognition with an Attention-Based Deep Learning Network.

Sensors (Basel, Switzerland) Mar 16, 2023
Radar-based human activity recognition (HAR) provides a non-contact method for many scenarios, such as human-computer interaction, smart security, and advanced surveillance with privacy protection. Feeding radar-preprocessed micro-Doppler signals int...
Human Activities Deep Learning Radar Neural Networks, Computer Algorithms Humans
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Ocean oil spill detection from SAR images based on multi-channel deep learning semantic segmentation.

Marine pollution bulletin Feb 1, 2023
One of the major threats to marine ecosystems is pollution, particularly, that associated with the offshore oil and gas industry. Oil spills occur in the world's oceans every day, either as large-scale spews from drilling-rig or tanker accidents, or ...
Environmental Monitoring Ecosystem Water Pollutants, Chemical Deep Learning Petroleum Pollution Oceans and Seas Radar Semantics
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