Trajectory and landing point analysis of tennis based on improved real-time object detection algorithm

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Multimodal vision-language framework for text-guided leukemia classification using advanced deep learning architectures

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Bibliometric analysis of research patterns in AI based inclusive pedagogy in schools using classic scientometric laws

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A generative AI framework for digital twin maintenance in dynamic retail environments

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Harnessing artificial intelligence and machine learning for accelerating drug repurposing in hepatitis B virus therapy

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Cost-sensitive ensemble learning for bankruptcy prediction under extreme class imbalance

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Lightweight multimodal large language model enabling efficient one shot industrial visual anomaly detection

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Deep learning based classification of microplastic in edible food using optical microscopy images

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Deep learning and GIS integration for plant disease diagnosis and management

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An evaluation of ambient artificial intelligence scribes at two academic medical centers

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A multimodal hybrid framework for early and accurate detection of dementia using MRI and facial imaging

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Systematic review of deep learning applications in physical rehabilitation for human movement analysis in compliance with PRISMA standards

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Honey, I Shrunk the Hypothesis Space (Through Logical Preprocessing)

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Orchestrated intelligence: an adaptive multi-agent architecture for high-frequency options risk management

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A model for music emotion recognition and aesthetic education effect evaluation based on deep learning and multimodal data

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Research on fashion brand narrative generation and personalized communication strategy based on knowledge graph and LLM

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Research on cross-border enterprise knowledge sharing mechanism based on federated graph neural network and differential privacy collaboration

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Hybrid deep learning metaheuristic ensemble framework for enhanced COVID-19 classification using ResNet and particle swarm optimization

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Integrating gene expression and proteomics for breast cancer biomarker prediction through a deep learning framework with SHAP-based explainability

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Application of multimodal machine learning in building ecological assessment

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