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GitHub / marcoserenelli / Encoding-Methods-Comparison-for-Stress-Detection

A comparative analysis of time-series encoding methods (GAF, MTF, RP) using CNN architectures (VGG-16, ResNet) for stress detection from wearable sensor data

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcoserenelli%2FEncoding-Methods-Comparison-for-Stress-Detection

Stars: 0
Forks: 0
Open issues: 0

License: apache-2.0
Language: Python
Size: 18.6 KB
Dependencies parsed at: Pending

Created at: 12 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago

Topics: ai, cnn, image-classification, research-paper, stress-detection, time-series

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