Exploring Bioimage Synthesis and Detection via Generative Adversarial Networks: A Multi-Faceted Case Study by Valeria Sorgente, Dante Biagiucci, Mario Cesarelli, Luca Brunese, Antonella Santone, Fabio Martinelli, Francesco Mercaldo

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Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network by Chengguang Zhang, Zhen Guo, Chuan Li

Subjects: “…Deep convolutional generative adversarial network…”
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Enhancing Surveillance Video Abnormal Behavior Detection Using Deep Convolutional Generative Adversarial Network With GRU Model by Setegn Asnakew Kasegn, Ronald Waweru Mwangi, Michael Kimwele, Surafel Lemma Abebe

Subjects: “…deep convolutional generative adversarial network…”
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General Network Framework for Mixture Raman Spectrum Identification Based on Deep Learning by Yilong Zhang, Tianke Wang, Kang Du, Peng Chen, Haixia Wang, Haohao Sun

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GAGAN: Enhancing Image Generation Through Hybrid Optimization of Genetic Algorithms and Deep Convolutional Generative Adversarial Networks by Despoina Konstantopoulou, Paraskevi Zacharia, Michail Papoutsidakis, Helen C. Leligou, Charalampos Patrikakis

Subjects: “…deep convolutional generative adversarial networks…”
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Truncation Artifact Reduction in Stationary Inverse-Geometry Digital Tomosynthesis Using Deep Convolutional Generative Adversarial Network by Burnyoung Kim, Seungwan Lee

Subjects: “…deep convolutional generative adversarial networks…”
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Detecting performance difficulty of learners in colonoscopy: Evidence from eye-tracking by Xin Liu, Bin Zheng, Xiaoqin Duan, Wenjing He, Yuandong Li, Jinyu Zhao, Chen Zhao, Lin Wang

Subjects: “…Deep Convolutional Generative Adversarial Networks (DCGANs)…”
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Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation by WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui

Subjects: “…cherry tomatoes; soluble solids content; visible-near-infrared spectroscopy; deep convolutional generative adversarial networks; one-dimensional convolutional neural networks…”
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Research on Intelligent Recognition Method of Ground Penetrating Radar Images Based on SAHI by Ruimin Chen, Ligang Cao, Congde Lu, Lei Liu

Subjects: “…deep convolutional generative adversarial networks (DCGAN)…”
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