APPLICATION OF UNLABELLED BIG DATA AND DEEP SEMI-SUPERVISED LEARNING TO SIGNIFICANTLY IMPROVE THE LOGGING INTERPRETATION ACCURACY FOR DEEP-SEA GAS HYDRATE-BEARING SEDIMENT RESERVOIRS

Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs

Due to the extremely complex reservoirs and strong heterogeneity, deep-sea gas hydrate logging porosity calculations still have problems, which further leads to insufficient resource calculation accuracy.Logging reservoir evaluation methods based on intelligence may be able to provide more reliable prediction results, especially the logging evaluat

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Ideal Influence and Intellectual Stimulation: Critical Dimensions in Improving MSME Performance in the Digital Transformation Era

Micro, Small, and Medium Enterprises (MSMEs) are an important pillar of the global and national economy, but they are faced with various major challenges in the era of digital transformation, such as increasingly fierce competition, rapid technological changes, and innovation demands.Effective leadership is a key factor in ensuring the success of M

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Colo-salpingeal fistula: A rare case report

Salpingo-enteric fistula Defibrillator is a rare condition that can cause infertility.It occurs when there is an abnormal connection between the fallopian tube and the intestine.Accurate diagnosis can be made using hysterosalpingography.The case of a 40-year-old asymptomatic woman diagnosed with primary infertility and scheduled for a hysterosalpin

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