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Search results for: LIFESPAN PREDICTION
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Scleranthus perennis extracts prolonged the honeybee lifespan
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JOURNAL OF CLEANER PRODUCTION
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Lifespan of etoposide-treated human neutrophils is affected by antioxidant ability of quercetin
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Ovarian function and obesity—Interrelationship, impact on women's reproductive lifespan and treatment options
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Pre-oxidation of porous ferritic Fe22Cr alloys for lifespan extension at high-temperature
PublicationPre-oxidation of porous ferritic Fe22Cr alloys was extensively studied in this paper. Weight gain measurements and SEM analysis revealed that pre-oxidation performed at 900◦C for 40 min increased the lifespan of the alloy. A Cr evaporation study did not disclose any significant influence of the pre-oxidation process on the Cr content in the alloy. For a more detailed assessment, TEM imaging and X-ray tomography measurements of...
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Badania i analiza szerokopasmowej sieci dostępowej Litespan firmy Alcatel
PublicationZaprezentowano studium właściwości systemu dostępowego Litespan oraz wyniki badań i analizy właściwości szerokopasmowej sieci dostępowej Litespan, ze szczególnym uwzględnieniem łączy ADSL i HDSL oraz systemu zarządzania. Badania przeprowadzono na instalacjach testowych w Warszawie i Madrycie. Przedstawiono opracowane wnioski szczegółowe i ogólne
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Natural Quercetin Analogues Modulate Oxidative Stress Tolerance and Increase Lifespan Extension of S. cerevisiae ( proceeding)
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Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study
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Crystal Structure Prediction by Global Optimization as a Tool for Evaluating Potentials: Role of the Dipole Moment Correction Term in Successful Predictions
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Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
PublicationExamining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent advances in sensitivity analysis methodology, optimization of training hyperparameters, and state-of-the-art ensemble techniques have greatly simplified and enhanced the forecasting of biochar output and composition from various biomass...