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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method
Published 2023-08-01“…A correlation mathematical model between the main control factors and gas well production is established using the Pearson correlation analysis method to predict gas well productivity. The reliability of the prediction model is verified through gas well data validation. …”
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Log Evaluation Method for Adsorbed Gas Amount in Deep Shale Based on Modified BET Multilayer Adsorption Model
Published 2024-02-01“…The evaluation method of adsorbed gas amount based on the modified BET multi-layer adsorption model has good adaptability in deep shale gas blocks in southern Sichuan basin, and provides strong technical support for geological dessert evaluation and resource potential analysis of deep shale.…”
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Permeability Evaluation Method for Marine Low Porosity and Permeability Sandstone Based on Improved Electrical Imaging Porosity Spectrum
Published 2023-12-01“…On this basis, referring to the SDR permeability calculation formula of nuclear magnetic logging, a permeability calculation model based on improved porosity spectrum is constructed. The actual well evaluation results show that the relative error of permeability calculation is reduced by 77.3% compared to conventional pore permeability methods, and it can more effectively identify high-quality thin sand layers, which can provide reliable basic data for fine reservoir description and productivity prediction.…”
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Improved Ultrasound Evaluation Method for Diagnosing Nonalcoholic Fatty Pancreatic Disease: Correlation with MRI mDixon-Quant
Published 2025-06-01“…This study aimed to evaluate the utility of an improved ultrasound method for diagnosing NAFPD. …”
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Proposing a New Method for Customer Segmentation Based on Their Level of Loyalty and Defining Appropriate Strategies for Each Segment
Published 2016-03-01“…The results of the study show that the proposed method provides the highest level of accuracy for predicting the customers’ loyalty. …”
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Application and impact of multi-power quality objective optimization control in low-voltage ride-through for grid-connected inverters
Published 2025-09-01“…To quantitatively demonstrate the superiority of the proposed method, an evaluation framework based on the weighted rank sum ratio (WRSR) method is established. …”
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Method for Evaluating Urban Building Renewal Potential Based on Multimachine Learning Integration: A Case Study of Longgang and Longhua Districts in Shenzhen
Published 2024-12-01“…Categorizing urban renewal projects improved the goodness of fit for residential and industrial building renewal by 0.14% and 6.13%, respectively. (3) Compared with traditional macro-level evaluation methods, the experimental results of this study improved by 8.41%, and compared with single-model approaches based on planning permit data, the accuracy improved by 29.11%.…”
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Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis
Published 2025-05-01“…Further research with larger sample sizes and external validation is warranted to confirm these findings and enhance the model’s applicability.Keywords: sepsis, machine learning, clinical prediction model, sequential organ failure assessment, acute physiology and chronic health evaluation II, vascular endothelial growth factor…”
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A Continuous Music Recommendation Method Considering Emotional Change
Published 2025-06-01“…To prove the effectiveness of the proposed method, the accuracy of the music emotion analysis, user emotion prediction, and music recommendation results were evaluated. …”
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838
A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area
Published 2025-07-01“…The probability integral method (PIM) is an official prediction model for mining subsidence in China, while it is difficult to accurately predict the subsidence boundary of a mining area, and cannot scientifically and accurately evaluate the impact of coal mining on the deformation of coal transportation railways passing through the boundary, lacking effective guidance for railway protection. …”
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Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand
Published 2024-12-01“…A simulation study explored diverse disease scenarios, characterized by varying magnitudes and spatial-temporal patterns, while real data analysis utilized monthly national dengue surveillance data from 2018 to 2020. Evaluation metrics included accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. …”
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840
Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations
Published 2025-01-01Get full text
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