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From data to diagnosis: An innovative approach to epilepsy prediction with CGTNet incorporating spatio-temporal features
published 02 Dec 2025
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HAttFFNN: Hybridized attention mechanism-based feedforward neural network deep learning model for the plastic material classification of three stage materials on spectroscopic data
published 02 Dec 2025
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Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems
published 02 Dec 2025
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Stock price dynamics prediction based on multi-scale fractals and deep learning
published 02 Dec 2025
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SCADET: A detection framework for AI-generated artwork integrating dynamic frequency attention and contrastive spectral analysis
published 26 Nov 2025
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Large language models for prognostic analysis in mechanical fault diagnosis
published 21 Nov 2025
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Lightweight deep neural networks: Optimization of vehicle classification using ICBAM based on depthwise separable convolutions
published 21 Nov 2025
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Structured matching models in multimodal information fusion: An optimized Kuhn-Munkres algorithm
published 21 Nov 2025
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Research on partial discharge signal recognition and classification of power transformer based on acoustic-VMD and CNN-LSTM
published 20 Nov 2025
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SMG-Net: A lightweight modular architecture for fine-grained crack segmentation in ancient wooden structures
published 19 Nov 2025
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Iterative reconstruction of industrial positron images with generative networks
published 19 Nov 2025
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Deepfake defense: Combining spatial and temporal cues with CNN–BiLSTM–transformer architecture
published 14 Nov 2025
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Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks
published 14 Nov 2025
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