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

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書(shū)目名稱(chēng)Deep Learning Theory and Applications影響因子(影響力)




書(shū)目名稱(chēng)Deep Learning Theory and Applications影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Deep Learning Theory and Applications網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Deep Learning Theory and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Deep Learning Theory and Applications被引頻次




書(shū)目名稱(chēng)Deep Learning Theory and Applications被引頻次學(xué)科排名




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書(shū)目名稱(chēng)Deep Learning Theory and Applications讀者反饋




書(shū)目名稱(chēng)Deep Learning Theory and Applications讀者反饋學(xué)科排名

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脫落

,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

瑣事

,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.