„Graph Machine Learning“
Suchergebnisse
3.871 Treffer
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Predicting Lewis Acidity: Machine Learning the Fluoride Ion Affinity of p ‐Block‐Atom‐Based Molecules
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A reinforcement learning based backup queue strategy for reliable and fault tolerant scheduling
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Octa multibit upset correction in SRAM memories using interleaved MPC code
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A Graphene-Based Surface Plasmon Resonance Metasurfaces Terahertz Sensor for Early Brain Tumor Detection with Machine Learning Optimization
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Detection of myocardial infarction diseases based on entropy, optimized stockwell time-frequency transform and extreme learning machine
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Design and Performance Evaluation of a Graphene Biosensor for Protein Detection with Two, Three Bit Encoding and Machine Learning Optimization
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High-Efficiency Wideband Graphene-Based Ag-In2Se3-Al2O3 Surface Plasmon Resonance Solar Absorber for Thermal Energy Applications Optimized using Machine Learning
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Randomized salt LSB: a novel approach to steganography with improved concealment and robustness
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Augmenting traffic flow efficiency using multi-agent systems (MAS)
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Hybrid deep learning for climate prediction with temporal, spatial, and environmental data
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Capturing the context-aware code change via dynamic control flow graph for commit message generation
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An Analytical Framework for Evaluating Successful Poisoning Attacks on Machine Learning Algorithms
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DBNLP: detecting bias in natural language processing system for India-centric languages
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Design and Optimization of a Graphene-Enhanced Terahertz Metasurfaces Surface Plasmon Resonance Biosensor with Multi-Material Architecture for Cancer Detection Integrating 1D-CNN Machine Learning for Performance Prediction and Analysis
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Dual heterogeneous graph contrastive learning for QoS prediction
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A Crossbreed and Powerful Machine Learning Archetype for Unparalleled Safety and Effectiveness in Wireless Sensor Networks
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Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning
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Complex T-spherical fuzzy hypersoft sets: a novel approach for evaluating uncertain information and MCDM applications in the COVID-19 pandemic
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A novel eXplainable AI agent for social interaction training of people with Autism Spectrum Disorder (ASD)
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Optimizing risk management in financial services, insurance sector, and public benefit programs using business rules management systems: a strategic approach