<p>**Abstract:** This paper introduces a novel deep learning framework for proactive detection of marine hull corrosion in autonomous vessel remote inspection (...
freederia.com·4d
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Non-destructive and adaptive negative electrode impedance estimation of lithium-ion batteries using ensemble learning
sciencedirect.com·14h
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Glyph: Scaling Context Windows via Visual-Text Compression
paperium.net·1d·
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Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
arxiv.org·5h
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ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives
arxiv.org·5h
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A GPU-boosted high-performance multi-working condition joint analysis framework for predicting dynamics of textured axial piston pump
arxiv.org·5h
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Full Replication of Google's Nested Learning Paper in PyTorch – code now live
reddit.com·9h·
Discuss: r/LocalLLaMA
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High-dimensional Bayesian filtering through deep density approximation
arxiv.org·5h
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A Low-Rank Method for Vision Language Model Hallucination Mitigation in Autonomous Driving
arxiv.org·5h
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Predictive Maintenance Optimization for Cryogenic Distillation Columns via Digital Twin Integration
dev.to·1d·
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Enhanced UWB Radar Signal Processing via Adaptive Sparse Learning with Hybrid Spectral Decomposition
dev.to·17h·
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Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography
arxiv.org·4d
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LoReTTA: A Low Resource Framework To Poison Continuous Time Dynamic Graphs
arxiv.org·5h
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Annotated 3D Point Cloud Dataset of Broad-Leaf Legumes Captured by High-Throughput Phenotyping Platform
nature.com·20h
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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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Automated Spectral Analysis & Predictive Maintenance for UV-A LED Degradation in Industrial Curing Systems
dev.to·1d·
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OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
arxiv.org·1d
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Top Open-Source MCP Servers and SDKs to Explore: Your Gateway to AI Superpowers
dev.to·5h·
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Explainable Probabilistic Machine Learning for Predicting Drilling Fluid Loss of Circulation in Marun Oil Field
arxiv.org·5h
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From Zero to LLMOps Hero: Your 101 Guide to Running LLMs in Production
analyticsvidhya.com·1d
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