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701
Impacts of Oceanic Preexisting Conditions on Predictions of Typhoon Hai-Tang in 2005
Published 2010-01-01“…Variations in oceanic preexisting conditions caused variation in predicted central pressure of nearly 18 hPa at 72 h, whereas sea-surface cooling (SSC) induced by Hai-Tang caused a predicted central pressure difference of about 40 hPa. …”
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702
Role of aspartate aminotransferase to platelet ratioin prediction of intrahepatic cholestasis of pregnancy
Published 2024-12-01Get full text
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703
The accuracy of ultrasensitive PSA in predicting disease progression after radical prostatectomy
Published 2024-11-01“…Abstract Objectives To assess the role of ultrasensitive PSA values (usPSA) after radical prostatectomy in predicting the subsequent biochemical recurrence (BCR). …”
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704
Data-Driven Social Security Event Prediction: Principles, Methods, and Trends
Published 2025-01-01Subjects: “…event prediction…”
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705
LMN Facial Palsy in Pregnancy: An Opportunity to Predict Preeclampsia—Report and Review
Published 2014-01-01Get full text
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706
A Cost Function Approach to the Prediction of Passenger Distribution at the Subway Platform
Published 2018-01-01“…This paper proposes a cost function approach to predict the passenger distribution at the platform, which is contributed to provide services to the passenger safety and convenience and also an efficient use of the subway platform. …”
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707
Deep learning-based system for prediction of work at height in construction site
Published 2025-01-01“…The results of this study address information gaps by efficiently predicting workers' working conditions at heights without the need for complex calculations. …”
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708
Method to Realize the Tilt Monitoring and Instability Prediction of Hazardous Rock on Slopes
Published 2021-01-01“…Assuming that the change rate of the tilt angle is approximately infinite, the failure time of hazardous rock can be predicted using the correlation equation. In addition, the effectiveness of the instability prediction method based on microtilt angle monitoring is verified by analyzing the long-term monitoring data of hazardous rock.…”
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709
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology
Published 2012-01-01Get full text
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710
Managing the University’s Educational Process Based on Predicting Students’ Academic Performance
Published 2024-12-01“…Using the methods of mathematical statistics, the importance of each factor for predicting academic performance has been established. …”
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711
A quantitative prediction method utilizing whole omics data for biosensing
Published 2025-01-01“…We developed OmicSense, a quantitative prediction method that uses a mixture of Gaussian distributions as the probability distribution, yielding the most likely objective variable predicted for each biomarker. …”
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712
Predictive Modeling of Tool Life in Turning Using ANN-Taguchi Hybridization
Published 2024-01-01Get full text
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713
Retracted: Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering
Published 2024-01-01Get full text
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714
Patterns and Variation in the Weather Forecast: Can Prosodic Features be Predicted Too?
Published 2016-07-01Get full text
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715
Predicting Individual Systems Thinking Skills Using Bayesian Network Approach
Published 2025-01-01Subjects: Get full text
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716
Retracted: Evidence Prediction Method Based on Sentence Selection for Legal Documents
Published 2023-01-01Get full text
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717
Development of a Hybridized Model for Predicting the Life Span of Power Transformers
Published 2019-08-01Get full text
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718
Retracted: CCPIN: Classification and Combine Parallel Interaction Network for CTR Prediction
Published 2023-01-01Get full text
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719
Predictive Contributions of Snowmelt and Rainfall to Streamflow Variations in the Western United States
Published 2018-01-01“…This study used long-term in situ rainfall, snow, and streamflow data to explore the predictive contributions of snowmelt and rainfall to streamflow in six watersheds over the Western United States. …”
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720
On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
Published 2025-12-01“…These results show the importance of considering feature space dissimilarity when working with geospatial machine learning predictions and can help researchers and practitioners to select more suitable CV methods for evaluating their predictions.…”
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