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Identification and prediction of patients eligible for augmented rehabilitation in emergency gastrointestinal surgery (RAUCisable): A protocol for a single-centre, retrospective, observational study
published 03 Jun 2026
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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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An AI-driven fire risk forecasting framework for urban villages using IGWO-optimized LSTM with incremental learning
published 02 Jun 2026
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ProtAttn-QuadNet: An attention-based deep learning framework for protein–protein interaction prediction using ProtBERT embeddings
published 02 Jun 2026
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Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning
published 01 Jun 2026
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GEC-DTSP: A GNN–RL-based Edge–Cloud Digital Twin framework for real-time traffic forecasting and adaptive signal control
published 01 Jun 2026
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An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions
published 01 Jun 2026
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Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases
published 01 Jun 2026
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Examining the influence of user experience on functional value, satisfaction, and usage intention in OTT video platforms
published 29 May 2026
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Machine learning models based on magnetic resonance imaging for predicting Lymphovascular Invasion in Invasive Breast Cancer
published 29 May 2026
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TransGrid-CostOpt: A hybrid transformer framework for cost prediction and optimization of distribution network assets
published 29 May 2026
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A scoring system for euthanasia decisions in rescued raccoon dogs (Nyctereutes procyonoides): Standardized criteria in wildlife rehabilitation
published 28 May 2026
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Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network
published 27 May 2026
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