Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks

Research article (Computation, 2021) · cited 65× · AI/ML
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Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks

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Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks is a scholarly article[1].

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  • Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/criminal-intention-detection-at-early-stages-of-shoplifting-cases-by-using-3d-convolutional-neural-networks
MLA “Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/criminal-intention-detection-at-early-stages-of-shoplifting-cases-by-using-3d-convolutional-neural-networks.
BibTeX @misc{4ortxyz_criminal-intention-detection-at-early-stages-of-shoplifting-cases-by-using-3d-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/criminal-intention-detection-at-early-stages-of-shoplifting-cases-by-using-3d-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks — https://4ort.xyz/entity/criminal-intention-detection-at-early-stages-of-shoplifting-cases-by-using-3d-convolutional-neural-networks (retrieved 2026-05-24)

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