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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution
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MMTransformer: a multivariate time-series resource forecasting model for multi-component applications
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Degradation Diagnosis and Control Strategy for a Diesel Hybrid Powertrain Considering State of Health
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BSO-CNN: A BSO Pressure Optimized CNN Model for Water Distribution Networks
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On Bayesian estimation of a latent trait model defined by a rank-based likelihood
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A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems
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A New Model for Water Retention and Hydraulic Conductivity Curves of Deformable Unsaturated Soils
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Shear Capacity Model of Prefabricated Shear-Keyed Tooth Joints Under Confining Stress
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Optimizing Methanol Injection Quantity for Gas Hydrate Inhibition Using Machine Learning Models
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Stem Cells and Organoids: A Paradigm Shift in Preclinical Models Toward Personalized Medicine
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An Ensemble Model of Attention-Enhanced N-BEATS and XGBoost for District Heating Load Forecasting
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Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model
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Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement
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