Results 161 to 170 of about 27,465 (309)

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

From Negentropy to Norms - A Gain-Based Theory of Agency: Kerdotism. [PDF]

Integr Psychol Behav Sci
Kypreos M.
europepmc   +1 more source

Borders and production of subjectivity : for a policy of translation.

, 2018
The temporal distance that separates us from the publication Borders as Method, or, the Multiplication of Labor, written by Sandro Mezzadra and Brett Neilson (2013), allows us to test and carry out an initial verification of some of its main thesis.
openaire   +2 more sources

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Too Black for Care: Clinical Apperception, Anti-Blackness, and Narrative Aporia. [PDF]

Cult Med Psychiatry
Cherian R.
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Soul models: rationalization and the art of subjectivity.

, 2007
In the exchange between theory and practice, art is appropriated as a creative mode of enquiry, a differential form of knowledge and experience in the processes of rationalization.
Willett, J, Willett, Jonathan
core  

Mapping meanings: methodological innovations to restore memories of place in a public park in Santiago de Chile. [PDF]

Front Psychol
Valenzuela L, Rosenbluth A, Nilo M, Ropert T, Bernardino M.   +4 more
europepmc   +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

Qualitative research and nursing knowledge on human responses: considering diagnosis validity. [PDF]

J Res Nurs
Barradas C, Miguel S, Caldeira S.
europepmc   +1 more source