Litcius/Paper detail

Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images

Mustafa Yusuf Demirci, Nurettin Beșlı, Abdülkadir Gümüşçü

2021Expert Systems with Applications130 citationsDOI

Topics & Concepts

Artificial intelligenceComputer scienceSupport vector machineFeature selectionDeep learningFeature extractionPhotovoltaic systemRedundancy (engineering)Machine learningDecision treeRandom forestPattern recognition (psychology)Naive Bayes classifierFeature (linguistics)Artificial neural networkEngineeringOperating systemPhilosophyLinguisticsElectrical engineeringIndustrial Vision Systems and Defect DetectionPhotovoltaic System Optimization TechniquesAdvanced Neural Network Applications
Efficient deep feature extraction and classification for identifying defective photovoltaic module cells in Electroluminescence images | Litcius