Results 41 to 50 of about 105,086 (297)
A Granular Computing-Based Deep Neural Network Approach for Automatic Evaluation of Writing Quality
IEEE Access, 2023 As a subjective behaviour relying on expert experience, automatic evaluation of writing quality always remains a technical issue. It requires both effective semantic understanding and structure analysis towards writing contents.
Majun Ge
doaj +1 more source
Interpretations of Association Rules by Granular Computing [PDF]
, 2003 We present interpretations for association rules. We first introduce Pawlak's method, and the corresponding algorithm of finding decision rules (a kind of association rules).
Li, Yuefeng, Zhong, Ning
core +1 more source
Sonification of probabilistic feedback through granular synthesis [PDF]
, 2005 We describe a method to improve user feedback, specifically the display of time-varying probabilistic information, through asynchronous granular synthesis. We have applied these techniques to challenging control problems as well as to the sonification of
Murray-Smith, R., Williamson, J.
core +2 more sources
Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs
FEBS Open Bio, EarlyView.Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner +7 more
wiley +1 more source
Avalanches and Dynamical Correlations in supercooled liquids
, 2009 We identify the pattern of microscopic dynamical relaxation for a two dimensional glass forming liquid. On short timescales, bursts of irreversible particle motion, called cage jumps, aggregate into clusters.
Biroli, G. +6 more
core +3 more sources
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Informational Granules in Interactive Granular Computing †
Computer Sciences & Mathematics Forum, 2023 Informational granules are crucial objects in Interactive Granular Computing (IGrC). They are making it possible to link abstract objects and physical (not mathematical) objects in processes related to perceiving situations in the real world.
Andrzej Skowron
doaj +1 more source
Knowledge Engineering from Data Perspective: Granular Computing Approach [PDF]
, 2009 The concept of rough set theory is a mathematical approach to uncertainly and vagueness in data analysis, introduced by Zdzislaw Pawlak in 1980s. Rough set theory assumes the underlying structure of knowledge is a partition.
Barot, Rushin
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Advancing Federated Learning with Granular Computing
Fuzzy Information and Engineering, 2023 Over the recent years, we have been witnessing spectacular achievements of Artificial Intelligence (AI) and Machine Learning (ML), in particular. We have seen highly visible accomplishments encountered in natural language processing and computer vision ...
Witold Pedrycz
doaj +1 more source