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Selected Publications.
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Summary of deep learning methods in the field of object recognition.
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Summary of deep learning methods in the field of object recognition.
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Performance comparison of the proposed model.
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Image Search Results


Selected Publications.

Journal: International Journal of Environmental Research and Public Health

Article Title: Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

doi: 10.3390/ijerph182010765

Figure Lengend Snippet: Selected Publications.

Article Snippet: S108 , [ ] , Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment , Face mask detection using YOLOv3 and faster R-CNN models , Multimed Tools Appl , 2021.

Techniques: Infection, Transmission Assay, Control, Activity Assay, Isolation, Biomarker Discovery, Modification, Virus, Environmental Monitoring, Filtration, Diffusion-based Assay, Multiplex Assay, Extraction, Software, Purification, Imaging, Diagnostic Assay, Nanopore Sequencing, Bacteria, Vaccines, Preserving

Summary of deep learning methods in the field of object recognition.

Journal: Entropy

Article Title: Spiking Neural Network Based on Multi-Scale Saliency Fusion for Breast Cancer Detection

doi: 10.3390/e24111543

Figure Lengend Snippet: Summary of deep learning methods in the field of object recognition.

Article Snippet: Fast R-CNN , Softmax , Linear regression , Selective search , CNN.

Techniques: Extraction

Performance comparison of the proposed model.

Journal: Heliyon

Article Title: Analyzing the packaging design evaluation based on image emotion perception computing

doi: 10.1016/j.heliyon.2024.e31408

Figure Lengend Snippet: Performance comparison of the proposed model.

Article Snippet: D-CNN + R–CNN Softmax , 94.8 ± 1.5 %.

Techniques: Comparison

Computer vision applications in damage identification.

Journal: Sensors (Basel, Switzerland)

Article Title: Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review

doi: 10.3390/s21165468

Figure Lengend Snippet: Computer vision applications in damage identification.

Article Snippet: [ ] , Faster-R-CNN (Baidu API)/AHP and grey clustering evaluation for comprehensive risk assessment , Comprehensive risk assessment and safety prewarning , Workers, equipment and materials , Case study , 2020.

Techniques:

Computer vision applications in safety management.

Journal: Sensors (Basel, Switzerland)

Article Title: Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review

doi: 10.3390/s21165468

Figure Lengend Snippet: Computer vision applications in safety management.

Article Snippet: [ ] , Faster-R-CNN (Baidu API)/AHP and grey clustering evaluation for comprehensive risk assessment , Comprehensive risk assessment and safety prewarning , Workers, equipment and materials , Case study , 2020.

Techniques: