Results 81 to 90 of about 1,589,421 (354)
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Bioprinting Organs—Science or Fiction?—A Review From Students to Students
Advanced Healthcare Materials, EarlyView.Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu +18 more
wiley +1 more source
A comparison of spatial analysis methods for the construction of topographic maps of retinal cell density. [PDF]
PLoS ONE, 2014 Topographic maps that illustrate variations in the density of different neuronal sub-types across the retina are valuable tools for understanding the adaptive significance of retinal specialisations in different species of vertebrates. To date, such maps
Eduardo Garza-Gisholt +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha +12 more
wiley +1 more source
A PRECIPITAÇÃO E O CRITÉRIO DE ESCOLHA DE ANOS-PADRÃO
Revista de Geociências do Nordeste, 2020 A proposta deste estudo é desenvolver com base no elemento precipitação, as etapas para a eleição de anos-padrão ao estado do Ceará, considerando a aplicação do método de Tavares (1976).
Lucas Pereira Soares
doaj +1 more source
Smoothing splines with varying smoothing parameter
, 2013 This paper considers the development of spatially adaptive smoothing splines for the estimation of a regression function with non-homogeneous smoothness across the domain.
Du, Pang, Shen, Jinglai, Wang, Xiao
core +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Advanced Materials, EarlyView.Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung +4 more
wiley +1 more source
On the Smoothed Minimum Error Entropy Criterion 
Entropy, 2012 Recent studies suggest that the minimum error entropy (MEE) criterion can outperform the traditional mean square error criterion in supervised machine learning, especially in nonlinear and non-Gaussian situations.
Badong Chen, Jose C. Principe
doaj +1 more source