Advanced Biology, EarlyView.Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker +7 more
wiley +1 more source
Lie Group Statistics and Lie Group Machine Learning Based on Souriau Lie Groups Thermodynamics & Koszul-Souriau-Fisher Metric: New Entropy Definition as Generalized Casimir Invariant Function in Coadjoint Representation [PDF]
, 2020 Frédéric Barbaresco
openalex +1 more source
Machine-learning-revealed reaction statistics via 3D spectroimaging for copper sulfidation of adhesive layers in rubber/brass composite [PDF]
, 2023 H. Matsui +8 more
openalex +1 more source
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
Basics of Feature Selection and Statistical Learning for High Energy Physics [PDF]
arXiv, 2008 This document introduces basics in data preparation, feature selection and learning basics for high energy physics tasks. The emphasis is on feature selection by principal component analysis, information gain and significance measures for features. As examples for basic statistical learning algorithms, the maximum a posteriori and maximum likelihood ...
arxiv
What are the top predictors of students’ well-being across cultures? Combining machine learning and conventional statistics [PDF]
, 2023 Ronnel B. King +3 more
openalex +1 more source
A special issue on: Bayesian statistics and machine learning in business [PDF]
, 2016 Hongxia Yang
openalex +1 more source
FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing
Advanced Engineering Materials, EarlyView.The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling +6 more
wiley +1 more source
Machine Learning-Statistics Ensemble Battery EOL Prediction Model [PDF]
, 2023 Brian Benjamin Hansen, M Snyder
openalex +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source