Lightweight Convolutional Network For Automated Photovoltaic Defect Detection
Author:
Affiliation:
1. University of Huddersfield,School of Computing and Engineering,Huddersfield,United Kingdom
2. Higher Colleges of Technology,Faculty of Computer Information Science,Sharjah,United Arab Emirates
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10184219/10184227/10184236.pdf?arnumber=10184236
Reference24 articles.
1. A Gradient Guided Architecture Coupled With Filter Fused Representations for Micro-Crack Detection in Photovoltaic Cell Surfaces
2. A Dynamic Multi-Mobile Agent Itinerary Planning Approach in Wireless Sensor Networks via Intuitionistic Fuzzy Set
3. Advanced Chinese Character Detection for Natural Scene Based on EAST
4. Child Emotion Recognition via Custom Lightweight CNN Architecture
5. Photovoltaic cell defect classification using convolutional neural network and support vector machine
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