Titlebook: Deep Learning Theory and Applications; First International Ana Fred,Carlo Sansone,Kurosh Madani Conference proceedings 2023 The Editor(s)

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书目名称Deep Learning Theory and Applications影响因子(影响力)




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书目名称Deep Learning Theory and Applications网络公开度学科排名




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书目名称Deep Learning Theory and Applications被引频次学科排名




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书目名称Deep Learning Theory and Applications年度引用学科排名




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书目名称Deep Learning Theory and Applications读者反馈学科排名

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,Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment,heir performances in specific scenarios..In this paper we tackle the problem of autonomously inspecting the conditions of Collective Protection Equipment (CPE) such as fire extinguishers, warning signs, ground and wall signalization and others..Work ministry imposes that such CPE are in good conditi

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四溢

,Forecasting the UN Sustainable Development Goals,le Development Goal (SDG) attainment forecasting. Unlike earlier SDG attainment forecasting frameworks, the SDG-TTF framework considers the possibility for causal relationships between SDG indicators, both within a given geographic entity (intra-entity relationships) and between the current entity a

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,Alternative Data Augmentation for Industrial Monitoring Using Adversarial Learning, labels are translated into color images using pix2pix and used to train a U-Net. The results suggest that the trigonometric function is superior to the WGAN model. However, a precise examination of the resulting images indicate that WGAN and image-to-image translation achieve good segmentation resu

琐事

,Multi-stage Conditional GAN Architectures for Person-Image Generation, Multi-stage Person Generation (MPG) model, in which we have modified the Generator architecture of Pose Guided Person Image Generation . resulting in two approaches. The first three-stage person generation approach has an additional generator integrated to base architecture and has trained the mode

Stress-Fracture

,Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment,e evaluation of CPE conditions. We provide results that highlight each architecture’s advantages and drawbacks in the aforementioned scenario..Indeed, experiments have shown their potential in reducing time and costs of periodic inspections in factories.