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08/28/2023
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
Unsupervised anomaly detection (UAD) is a widely adopted approach in ind...
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07/10/2023
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection
Recent studies show edge computing-based road anomaly detection systems ...
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10/20/2022
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance
Accurately extracting driving events is the way to maximize computationa...
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01/15/2022
Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model
Recently, deep learning-based algorithms are widely adopted due to the a...
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01/05/2022
Latent Vector Expansion using Autoencoder for Anomaly Detection
Deep learning methods can classify various unstructured data such as ima...
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12/14/2021
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection
Foreign substances on the road surface, such as rainwater or black ice, ...
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11/22/2021
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
Wet weather makes water film over the road and that film causes lower fr...
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04/09/2021
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability
Image classification technology and performance based on Deep Learning h...
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03/24/2021
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise
Road accident can be triggered by wet road because it decreases skid res...
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12/18/2019
The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
The Coronary Artery Occlusion (CAO) acutely comes to human, and it highl...
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12/02/2019
Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network
World Health Organization (WHO) provides the guideline for managing the ...
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07/17/2018
