Results 161 to 170 of about 1,280,497 (284)

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]

PLoS One
Fulton L, Lyu P.
europepmc   +1 more source

On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems [PDF]

Frontiers in Psychology, 2015
Sirota, Miroslav, Vallée-Tourangeau, Gaëlle, Vallée-Tourangeau, Frédéric, Juanchich, Marie   +3 more
openaire   +5 more sources

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Unblinded by the Night: Predictive Power for Complex Bayesian Adaptive Trials When Sight Privileges Vary. [PDF]

Pharm Stat
Gajewski BJ, Beall J, Nimkar K, Martin RH.   +3 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Comparing Bayesian random coefficient prediction and latent interaction models for multilevel moderated mediation. [PDF]

Front Psychol
Lee S, Kim S.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

New, Shorter Small-Sample Intervals for Vaccine Efficacy. [PDF]

Pharm Stat
Gasparini M, Trani VD, Ratta M.
europepmc   +1 more source

Consumer Valuation of Meat Alternatives and Labeling Policies: A Comparative Perspective

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates and compares US consumer perceptions and the impact of environmental, human health, and animal welfare information related to conventional meat on preferences for meat alternatives and labeling policies. Using the best–worst scaling method across 10 different burger alternatives, our results show that the meat burger is
Daniele Asioli, Wei Yang, Jia Han, Quoc Cuong Nguyen, Massimiliano Petracci, Rodolfo M. Nayga Jr.   +5 more
wiley   +1 more source

ImmUQBench: a benchmark on uncertainty quantification of protein immunogenicity prediction. [PDF]

Oxf Open Immunol
Qayyum ABA, Rahmati AH, Qian X, Yoon BJ.
europepmc   +1 more source