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Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine
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Introducing <tt>ActiveInference.jl</tt>: A Julia Library for Simulation and Parameter Estimation with Active Inference Models
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How to estimate the probability of a live birth after one or more complete IVF cycles? the development of a novel model in a single-center
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Risk factors of 180-day rebleeding after management of blunt splenic injury without surgery and embolization: a national database study
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New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism
Published 2025-01-01Subjects: “…remaining useful life prediction…”
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AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcareMendeley Data
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768
Hierarchical quantitative prediction of photovoltaic power generation depreciation expense based on matrix task prioritization considering uncertainty risk
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769
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
Published 2024-09-01Subjects: “…molecular property prediction (mpp)…”
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Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach
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Effects of thermal aging on the performance of ordinary and novel superhydrophobic and oleophobic ultra-fine dry powder extinguishing agent
Published 2025-01-01Subjects: “…Predicted storage lifespan…”
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Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling
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On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning
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776
D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory
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The association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES
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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges
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The predicted value for venous thromboembolism based on a modified model of caprini combined with fasting blood glucose and D-dimer: a retrospective study
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