LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification

Research article (Energies, 2023) · cited 35× · AI/ML
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LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification

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LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/lirnet-a-lightweight-inception-residual-convolutional-network-for-solar-panel-defect-classification
MLA “LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lirnet-a-lightweight-inception-residual-convolutional-network-for-solar-panel-defect-classification.
BibTeX @misc{4ortxyz_lirnet-a-lightweight-inception-residual-convolutional-network-for-solar-panel-defect-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification}}, year = {2026}, url = {https://4ort.xyz/entity/lirnet-a-lightweight-inception-residual-convolutional-network-for-solar-panel-defect-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LIRNet: A Lightweight Inception Residual Convolutional Network for Solar Panel Defect Classification — https://4ort.xyz/entity/lirnet-a-lightweight-inception-residual-convolutional-network-for-solar-panel-defect-classification (retrieved 2026-05-24)

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