„Graph processing“
Suchergebnisse
10.000+ Treffer
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SpAuCNN: Sparse autoencoder convolution neural network architecture for emotion recognition among intense level autism disorder hospitalized children
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A Small Object Detection Framework on UAV Images via Attentive Representation Learning and Attentional Feature Fusion
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DSA-YOLO: A lightweight framework for industrial defect detection based on YOLOv11 with two-stage cascaded knowledge distillation
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GRUFNet: a hybrid neural model for botnet detection using the SDNIoT dataset
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Convolutional Optimized Network with DSConv for Image SR via GAN
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CMambaFuse: Circular mamba feature fusion for medical image segmentation
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Synergizing skeletal graph and deep features through transfer learning: a multimodal framework for action recognition
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A novel low-power design of standard and hybrid 4-bit 4-point Radix-2 FFT architectures using CMOS and SAL with MGHA based arithmetic modules
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Edge-enabled Hybrid Dynamic Graph-Attention Residual Network for enhanced multimodal emotion recognition
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Enhancing photovoltaic power output optimization: hybrid machine learning models for multi-objective and multi criteria decision making and sustainable energy integration
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ConvNeXt based prognostication of axillary lymph node involvement in breast cancer based on smart CT interpretation
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CSLD3D: A lightweight distributed video compressed sensing network based on lightweight deformable 3D convolution
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A novel explainable AI approach for reconstructing crosscut and hand-torn documents using machine learning
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Multiple attribute decision-making based on fuzzy neural network under complex Fermatean fuzzy data
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An adaptive ultra-high-resolution portrait retouching method based on regional filters
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Enhancing graph signal sampling through gershgorin disk alignment: A heuristic approach
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LiftMamba: Mamba-based lightweight network for 3D human pose estimation
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A logic multi-criteria recommender system for tourist services: Jimataa
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Context-aware recommendation using hierarchical attention and positional encoding based on multiple item attributes (CARA)
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Deep learning-based beamforming for multi-user active electronically scanned array systems