Scientific Research Publishing

Regression Neural Networks for Emulating Evolutionary Algorithm Predictions in Optimal Control ()

Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...
PNAS

Neural basis for individual differences in the attention-enhancing effects of methylphenidate

Stimulant medications like methylphenidate boost circulating dopamine levels and are effective treatments for attention-deficit hyperactivity disorder (ADHD), but they do not work for everyone. Here, ...
snmjournals.org

Single-Time-Point Renal Dosimetry Using Nonlinear Mixed-Effects Modeling and Population-Based Model Selection in [

Journal of Nuclear Medicine February 2024, jnumed.123.266268; DOI: https://doi.org/10.2967/jnumed.123.266268 ...
C&EN

Application of the Gaussian Process Regression Method Based on a Combined Kernel Function in Engine Performance Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
C&EN

Partial Least-Squares Regression as a Tool to Retrieve Gas Concentrations in Mixtures Detected Using Quartz-Enhanced Photoacoustic Spectroscopy

State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan 030006, P. R. China State Key Laboratory of Quantum Optics and Quantum ...
Scientific Research Publishing

Hybrid Support Vector Regression with Parallel Co-Evolution Algorithm Based on GA and PSO for Forecasting Monthly Rainfall ()

Accurate and timely monthly rainfall forecasting is a major challenge for the scientific community in hydrological research such as river management project and design of flood warning systems.
Frontiers

The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli

Understanding how brains process sensory signals in natural environments is one of the key goals of twenty-first century neuroscience. While brain imaging and invasive electrophysiology will play key ...