Integrating Machine Learning for Predicting Internal Combustion Engine Performance and Segment-Based CO2 Emissions Across Urban and Rural Settings

The assessment of artificial intelligence (AI) application for prediction of internal combustion engine (ICE) performance and its impact on CO2 emissions is conducted in this paper.Three machine learning techniques (Random Forest, Support Vector Regression, and Semi-supervised Deep Fuzzy C-means) are developed to analyze inputs from an engine simul

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Expression of genes associated with immunity in the endometrium of cattle with disparate postpartum uterine disease and fertility

Abstract Background Contamination of the uterine lumen with bacteria is ubiquitous in cattle after parturition.Some animals develop endometritis and have Jackets/Outerwear reduced fertility but others have no uterine disease and readily conceive.The present study tested the hypothesis that postpartum cattle that develop persistent endometritis and

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Co-purchaser Recommendation for Online Group Buying

Abstract Online group buying is a burgeoning business model of Internet shopping, in which people with the same merchandise interests form a Door Gasket Drain Hose group and co-purchase goods with favorable prices.The buyer who launches the co-purchase is called the initiator, and other buyers are called the co-purchasers.Although recommending co-p

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