Engicam Showcases Computer Vision AI Kit Based on Renesas RZ/V2H Platform
linuxgizmos.com·4h
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Risk Prediction of Cardiovascular Disease for Diabetic Patients with Machine Learning and Deep Learning Techniques
arxiv.org·1d
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Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval andFiltering
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ReMoD: Rethinking Modality Contribution in Multimodal Stance Detection via Dual Reasoning
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Sentiment Analysis On YouTube Comments Using Machine Learning Techniques Based On Video Games Content
arxiv.org·1h
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GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
arxiv.org·1h
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Improving Diagnostic Performance on Small and Imbalanced Datasets Using Class-Based Input Image Composition
arxiv.org·4d
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Radical Proteostasis Decoding: A Multi-Modal Deep Learning Approach for Neurodegenerative Disease Prediction & Intervention
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SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
arxiv.org·1d
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Automated Spectral Analysis & Predictive Maintenance for UV-A LED Degradation in Industrial Curing Systems
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How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
arxiv.org·1h
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Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
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Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
arxiv.org·1d
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Title: A Tale of Two Transformers: Evaluating the Efficacy o
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DGTN: Graph-Enhanced Transformer with Diffusive Attention Gating Mechanism for Enzyme DDG Prediction
arxiv.org·1d
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What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions
arxiv.org·1d
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Deception Decoder: Proposing a Human-Focused Framework for Identifying AI-Generated Content on Social Media
arxiv.org·1h
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Automated Defect Clustering and Root Cause Analysis in Advanced Wafer Fabrication via Graph Neural Networks
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