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2041
Enhancing Classification Models With Sophisticated Counterfactual Images
Published 2025-01-01Get full text
Article -
2042
Characterization and Pickering emulsifying ability of Adinandra nitida leaf polysaccharides
Published 2025-01-01Get full text
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2043
Underwater acoustic target recognition under working conditions mismatch
Published 2024-12-01Get full text
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2044
Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field
Published 2025-01-01“…As an advanced knowledge management and reasoning tool, knowledge graph technology can significantly enhance the efficiency of managing and analyzing cyberthreat intelligence, providing strong technical support for cybersecurity threat identification and situational awareness. …”
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2045
Production of mortar with calcined alum sludge as partial cement replacement
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2046
Review of Current Strategies to Address Micronutrient Deficiencies (MNDs) in Ghana: A Scoping Review
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2047
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2048
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2049
Demands and Material Flow of Recycled Polyethylene Terephthalate (PET) in Indonesia
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2050
Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea
Published 2024-05-01“…The application of machine learning technology offers a promising solution to solve the issue. …”
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2051
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2052
Numerically evaluate performance of top surface erodible embankment in Bangladesh
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2053
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2054
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2055
Advances in engineered T cell immunotherapy for autoimmune and other non-oncological diseases
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2056
Preparing Pre-Service STEM Teachers in an Emerging Global Environment
Published 2024-12-01“…The dynamics of Science, Technology, Engineering and Mathematics (STEM) teacher preparation has changed very dramatically in line with present-day realities and the demands of the emerging global environment. …”
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2057
A secure method of voting and planning based on quadratic voting
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2058
Optimizing Human-Centric Warehouse Operations: A Digital Twin Approach Using Dynamic Algorithms and AI/ML
Published 2025-02-01“…Purpose: This study aims to develop a versatile and adaptive system that optimizes manual warehouse operations through the integration of Digital Twin technology and AI/ML models.Methodology: The framework combines Digital Twin technology with advanced AI/ML analytics to dynamically adjust operational strategies based on real-time data collected from warehouse activities.Findings: A prototype implementation demonstrated significant improvements, including a 28.6% reduction in average picking time, a 20% improvement in inventory turnover, an increase in demand forecasting accuracy from 85% to 92%, and a reduction in labor costs by 15%.Originality: This research uniquely applies Digital Twin technology to manual warehouse environments, showcasing its effectiveness in enhancing operational efficiency without the need for full automation.…”
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2059
A finite element method for a two-dimensional Pucci equation
Published 2023-11-01Get full text
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2060