Results 21 to 30 of about 3,005 (186)

Slow update of internal representations impedes synchronization in autism

open access: yesNature Communications, 2021
Autism is characterized by diverse symptoms, including impaired social skills, motor and perceptual atypicalities. Here, using computational modelling, the authors show that impaired synchronization ability in autism stems from reduced error correction ...
Gal Vishne   +5 more
doaj   +1 more source

Perspectives on Aesthetic Computing [PDF]

open access: yesLeonardo, 2005
The authors present an introduction to the new interdisciplinary area of aesthetic computing and proceed to define this area with examples from each of their own disciplines, practices and research. While several decades of publication and work have resulted in significant advancements in art as implemented through technology, less emphasis has been ...
Paul Fishwick   +3 more
openaire   +1 more source

A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance

open access: yesTopics in Cognitive Science, EarlyView., 2023
Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot   +5 more
wiley   +1 more source

Approximate Entropy in Canonical and Non-Canonical Fiction

open access: yesEntropy, 2022
Computational textual aesthetics aims at studying observable differences between aesthetic categories of text. We use Approximate Entropy to measure the (un)predictability in two aesthetic text categories, i.e., canonical fiction (‘classics’) and non ...
Mahdi Mohseni   +2 more
doaj   +1 more source

Personalized Aesthetic Assessment: Integrating Fuzzy Logic and Color Preferences

open access: yesIEEE Access
The analysis of aesthetic assessment is a complex and subjective task that has attracted researchers for a long time. The subjective nature of aesthetic preferences presents a significant challenge in defining and quantifying what makes images visually ...
Ayana Adilova, Pakizar Shamoi
doaj   +1 more source

Art and Artificial Intelligence - Challenges and Dangers

open access: yesESPES, 2020
The ability to create and perceive art has long been understood as an exceptional human trait, which should differentiate us from the rest of the organisms or robots. However, with the uprising of cognitive sciences and information stemming from them, as
Andrej Démuth
doaj  

Modeling Inherent Aesthetics and Contextual Decisions for Personalized Color Recommendation in AIGC

open access: yesApplied Sciences
While creative Artificial Intelligence (AI) tools offer unprecedented creative power, their outputs often create a “personalization gap” by converging towards a generalized “average aesthetic” that ignores nuanced user preferences.
Lin Li, Xinxiong Liu
doaj   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

A comparative study of computational aesthetics [PDF]

open access: yes2014 IEEE International Conference on Image Processing (ICIP), 2014
6 pages, 5 figures, 1 ...
Temel, Dogancan, AlRegib, Ghassan
openaire   +2 more sources

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie   +12 more
wiley   +1 more source

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