Articles

Robust and Fast Markov Chain Monte Carlo Sampling of Diffusion MRI Microstructure Models

• Robbert L. Harms
• Alard Roebroeck

Research on new energy vehicle charging prediction based on Monte Carlo algorithm and its impact on distribution network

in Energy Storage

• Zheng Li
• Chuan Li
• Baoqiang Zhang
• Qing Duan
• Lu Liu
• Guoqiang Zu
• Qian Li

Monte Carlo Simulations for the Analysis of Non-linear Parameter Confidence Intervals in Optimal Experimental Design

in Bioprocess Engineering

• Niels Krausch
• Tilman Barz
• Annina Sawatzki
• Mathis Gruber
• Sarah Kamel
• Peter Neubauer
• Mariano Nicolas Cruz Bournazou

Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients

in Drug Metabolism and Transport

• Guodong Li
• Yubo Sun
• Liping Zhu

Applied Bayesian Approaches for Research in Motor Neuron Disease

in Dementia and Neurodegenerative Diseases

• Anna G. M. Temp
• Marcel Naumann
• Andreas Hermann
• Hannes Glaß

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

in Neuromorphic Engineering

• Emre O. Neftci
• Bruno U. Pedroni
• Siddharth Joshi
• Maruan Al-Shedivat
• Gert Cauwenberghs

Optimal fibre length and maximum isometric force are the most influential parameters when modelling muscular adaptations to unloading using Hill-type muscle models

in Environmental, Aviation and Space Physiology

• James Cowburn
• Gil Serrancolí
• Steffi Colyer
• Dario Cazzola

Ambidextrous human resource practices and individual creativity—A cross-layer multi-time analysis based on psychological capital and QLMX

in Organizational Psychology

• Fuqiang Zhao
• Longdong Wang
• Yun Chen
• Wei Hu

Mixed-integer second-order cone programming method for active distribution network

in Process and Energy Systems Engineering

• Dai Wan
• Miao Zhao
• Zimu Yi
• Fei Jiang
• Qi Guo
• Qianfan Zhou

Analysis of flood control risk in floodwater utilization considering the uncertainty of flood volume and peak

in Hydrosphere

• Huihua Du
• Zongzhi Wang
• Jun Yin

Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal Reaction Time Distributions

in Quantitative Psychology and Measurement

• Dora Matzke
• Jonathon Love
• Thomas V Wiecki
• Scott D Brown
• Gordon D Logan
• Eric-Jan Wagenmakers

Comprehensive Review of Models and Methods for Inferences in Bio-Chemical Reaction Networks

in Computational Genomics

• Pavel Loskot
• Komlan Atitey
• Lyudmila Mihaylova

Predicting nodal metastasis progression of oral tongue cancer using a hidden Markov model in MRI

in Head and Neck Cancer

• Qiangqiang Gang
• Jie Feng
• Hans-Ulrich Kauczor
• Ke Zhang

Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets

in Environmental Informatics and Remote Sensing

• Olivera Stojanović
• Bastian Siegmann
• Thomas Jarmer
• Gordon Pipa
• Johannes Leugering

A collaborative optimization scheduling method for multi-type flexible resources in “hydropower-PV-charging-storage” distribution systems considering feasible region

in Smart Grids

• Bingqian Chen
• Jinlin Liao
• Chenxi Guo
• Yanyan Zhang

An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms

in AI in Food, Agriculture and Water

• Przemysław Juda
• Philippe Renard