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DG-LSTM-SA model: A deep gated LSTM network with self-attention mechanism for power generation and load forecasting
published 03 Jun 2026
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IGNN: An improved graph neufral network with integrated attention and pre-message-passing for few-shot image classification
published 28 Apr 2026
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A load forecasting method based on edge graph attention network
published 23 Apr 2026
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LightTrack-ReID: A lightweight and occlusion-robust framework for multi-object tracking
published 25 Mar 2026
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Forecasting crude oil futures price with energy uncertainty: Evidence from machine learning methods
published 05 Feb 2026
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KALFormer: Knowledge-augmented attention learning for long-term time series forecasting with transformer
published 05 Jan 2026
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Intelligence prediction of integrated circuit reliability based on SSA-LSTM fusion architecture
published 31 Dec 2025
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Deep learning for deep learning performance: How much data is needed for segmentation in biomedical imaging?
published 31 Dec 2025
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Decoding brand sentiments: Leveraging customer reviews for insightful brand perception analysis using natural language processing and Tableau
published 04 Dec 2025
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The role of brand commitment and external information in urban consumers’ organic produce choices: Evidence from Japan and China
published 21 Nov 2025
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Utilizing big data and artificial intelligence to improve the cross-border trade english education
published 05 Nov 2025
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Multiview state-of-health estimation for lithium-ion batteries using time–frequency image fusion and attention-based deep learning
published 03 Nov 2025
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BLSAM-TIP: Improved and robust identification of tyrosinase inhibitory peptides by integrating bidirectional LSTM with self-attention mechanism
published 08 Oct 2025
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