Suggested Topics within your search.
Suggested Topics within your search.
-
3801
A nomogram for predicting small bowel mucosal healing in pediatric Crohn’s disease
Published 2025-06-01Get full text
Article -
3802
Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles
Published 2024-11-01Get full text
Article -
3803
Risk factor analysis and prediction of multi-organ metastasis in hepatic alveolar echinococcosis
Published 2025-03-01Get full text
Article -
3804
Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction
Published 2025-03-01Get full text
Article -
3805
Risk prediction of mechanical complications in acute myocardial infarction patients with prior malignancy
Published 2025-08-01Get full text
Article -
3806
Prediction of total phosphorus in wastewater treatment plant effluent based on deep learning
Published 2024-10-01Get full text
Article -
3807
Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning
Published 2025-05-01Get full text
Article -
3808
Prediction of insulin resistance using multiple adaptive regression spline in Chinese women
Published 2025-04-01Get full text
Article -
3809
Prediction of Mortality in ICU Patients with SARS-CoV-2-Associated Pneumonia
Published 2025-04-01Get full text
Article -
3810
EMI Prediction on Ripple Effect of Voltage-Controlled Ramp Waveform via ARIMA-MLR Hybrid Model
Published 2025-01-01Get full text
Article -
3811
-
3812
-
3813
-
3814
Machine learning opportunities to predict obstetric haemorrhages
Published 2024-07-01Get full text
Article -
3815
Difficulty aware programming knowledge tracing via large language models
Published 2025-04-01Get full text
Article -
3816
Personal Development Planning of the UK Students: Implementation Models
Published 2020-05-01Get full text
Article -
3817
-
3818
AdaptedNorm: An Adaptive Modeling Strategy for Graph Convolutional Network-Based Deep Learning Tasks
Published 2025-01-01“…This study proposes AdaptedNorm, a principled framework that establishes connections between normalization schemes and GCN task objectives, while introducing three key contributions: 1) A novel random walk re-normalized transformation (RWRT) technique for graph representation normalization; 2) A task-aligned modeling paradigm demonstrating that symmetric re-normalized transformation (SRT) enhances node classification accuracy, while RWRT achieves superior performance in link prediction; 3) Integration of normalization schemes with GNN sparsification strategies, enabling effective model compression without sacrificing performance. …”
Get full text
Article -
3819
-
3820