Frontiers11d
Population pharmacokinetics, dosing optimization and clinical outcomes of biapenem in patients with sepsis
A prediction corrected visual predictive check (pcVPC) was used to describe the predictive performance of the model based on the distribution characteristics of observed and predicted concentrations ...
Frontiers11d
Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean
2015) based on the Monte Carlo Markov chain (MCMC ... sizes of training dataset. The x-axis is number of folds of training data; the y-axis is the average Pearson correlation coefficient from ...
Semiconductor Engineering15d
Fast Monte Carlo Simulations For Timing Variation Analysis
Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. However, for comprehensive ...
Bitcoin Magazine24d
Advanced Mathematical Projections for the Bitcoin Bull Cycle Peak
Discover how advanced statistical methods and historical data, including the renowned Pi Cycle Top Indicator and Monte Carlo simulations, are used to project Bitcoin's next bull cycle peak, with ...
Autosport on MSN26d
How WRC teams prepare for Monte Carlo’s ‘four-day marathon’
Autosport joined Hyundai Motorsport for its Monte Carlo preparations earlier this month to understand how a World Rally Championship team prepares for what is likely to be one of the most unpredictabl ...