Results 121 to 130 of about 1,871,243 (292)

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Probability and Uncertainty in Economic Modeling, Second Version [PDF]

Economic modeling assumes, for the most part, that agents are Bayesian, that is, that they entertain probabilistic beliefs, objective or subjective, regarding any event in question.
Itzhak Gilboa, Andrew Postlewaite, David Schmeidler   +2 more
core  

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

The role of ANS acuity and numeracy for the calibration and the coherence of subjective probability judgments. [PDF]

Front Psychol, 2014
Winman A, Juslin P, Lindskog M, Nilsson H, Kerimi N.   +4 more
europepmc   +1 more source

Subjective beliefs formation and elicitation rules : experimental evidence [PDF]

Since they have been increasingly used in economics, elicitation rules for subjective beliefs are under scrutiny. In this paper, we propose an experimental design to compare the performance of such rules.
Jean-Christophe Vergnaud, Guillaume Hollard, Sébastien Massoni   +2 more
core  

Engineering Intelligent iPSC Biomanufacturing: Integrating Robotic Automation, AI, and Process Control

Advanced Intelligent Systems, EarlyView.
This review highlights recent advances in automated iPSC culture systems integrating robotics, advanced imaging, artificial intelligence, and process control. These technologies improve reproducibility, scalability, and quality in cell expansion, differentiation, and real‐time monitoring, while emerging AI‐enabled and closed‐loop approaches offer new ...
Hyoryong Lee, Roma Desai, Byunggik Kim, Deok‐Ho Kim   +3 more
wiley   +1 more source

Decision under Uncertainty : the Classical Models [PDF]

This chapiter of a collective book is dedicated to classical decision models under uncertainty, i.e. under situations where events do not have "objective" probabilities with which the Decision Marker agrees. We present successively the two main theories,
Michèle Cohen, Alain Chateauneuf, Jean-Yves Jaffray   +2 more
core  

Timing of Work‐Rest Implementation Influences Worker Productivity Under Heat Stress: Evidence for Initial Stay Time‐Based Scheduling

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Introduction Work‐rest allocations recommended by the American Conference of Governmental Industrial Hygienists (ACGIH) limit heat strain and are typically implemented from the onset of work. Whether delaying implementation until after the initial stay time (IST; the duration of continuous work before core temperature reaches 38.0°C) improves ...
Glen P. Kenny, Kelli E. McCormick, Katie E. Wagar, Roberto C. Harris‐Mostert, James J. McCormick, Leonidas G. Ioannou, Fergus K. O'Connor   +6 more
wiley   +1 more source