661. |
Hybrid Approach for Shelf Monitoring and Planogram Compliance (Hyb-SMPC) in Retails Using Deep Learning and Computer Vision |
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662. |
Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal |
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663. |
Analysis of Safety Behavior of Prefabricated Building Workers’ Hoisting Operation Based on Computer Vision |
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664. |
Computer Vision-Based Structural Displacement Monitoring and Modal Identification with Subpixel Localization Refinement |
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665. |
Analysis of People Flow Image Detection System Based on Computer Vision Sensor |
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666. |
Research on Information Fusion of Computer Vision and Radar Signals in UAV Target Identification |
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667. |
Computer Vision Process Development regarding Worker’s Safety Harness and Hook to Prevent Fall Accidents: Focused on System Scaffolds in South Korea |
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668. |
Enterprise Financing Risk Control of Machine Learning Combined with Blockchain Technology |
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669. |
An analytical study on the identification of N-linked glycosylation sites using machine learning model |
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670. |
Machine Learning Approach on Time Series for PV-Solar Energy |
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671. |
Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach |
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672. |
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream |
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673. |
Machine Learning Models for Predicting Bond Strength of Deformed Bars in Concrete |
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674. |
Machine Learning for Shear Strength of Reinforced Concrete Beams |
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675. |
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble |
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676. |
Machine Learning Algorithms Are Applied in Nanomaterial Properties for Nanosecurity |
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677. |
A systematic review on machine learning models for online learning and examination systems |
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678. |
Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity |
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679. |
Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks |
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680. |
Machine-learning media bias |
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