Results 41 to 50 of about 115,636 (253)
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
Melanin content directly controls fungal spore mechanical properties, with pigmented spores achieving rupture forces two orders of magnitude higher than hyaline spores. Environmental stress drives this quantity‐quality tradeoff; stressed species invest energy in melanin‐reinforced, mechanically superior thick‐walled, super‐hydrophobic spores, while ...
Atul Agrawal, Steven E. Naleway
wiley +1 more source
Machine condition prognosis based on regression trees and one-step-ahead prediction [PDF]
Predicting the degradation of working conditions of machinery and trending of fault propagation before they reach the alarm or failure threshold is extremely important in industry to fully utilize the machine production capacity.
Yang, Bo-Suk +5 more
core +1 more source
Cuttlefish and squid can catch their prey within milliseconds using specialized tentacles and suckers. The physics of how the suckers can attach so quickly has remained a mystery given the technical challenges of studying them in vivo. In this publication, we develop a hydrogel that retains imprints of the suckers in order to estimate the forces they ...
Alexander Koehnsen +4 more
wiley +1 more source
Background Tobacco consumption is a preventable public health problem. Many tobacco related studies have employed logistic regression in their analysis and they mostly analyzed categorical variables with dichotomous outcomes.
Mohammad Alamgir Kabir
core +1 more source
(Decision and regression) tree ensemble based kernels for regression and classification
Tree based ensembles such as Breiman's random forest (RF) and Gradient Boosted Trees (GBT) can be interpreted as implicit kernel generators, where the ensuing proximity matrix represents the data-driven tree ensemble kernel. Kernel perspective on the RF has been used to develop a principled framework for theoretical investigation of its statistical ...
Dai Feng, Richard Baumgartner
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen +8 more
wiley +1 more source
A Simple Descriptor for Solid‐State Ionic Conductors Across Chemistries
Researchers develop a simple and transferable descriptor, distance contraction, for solid‐state ion migration across Li‐, Na‐, K‐, and Mg‐ion conductors and diverse anion chemistries. By capturing the maximum local contraction experienced by the migrating ion, the descriptor enables rapid materials screening and unifies diverse ion‐transport mechanisms.
Ramanuja Srinivasan Saravanan +4 more
wiley +1 more source
The patterns of demographic characteristics for developing severe dengue in the classification and regression tree (CART) model.
Abdullah Al Mosabbir (11626274) +4 more
core +1 more source

