Results 91 to 100 of about 40,734,559 (293)

Reflecting on Digital Art Value: NFTs’ Potential for the Art-Market Parity

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications
Until recently, digital art was perceived as something of secondary value compared to the physical artistic artifacts. One of the reasons for that being its predisposition for duplication and hence the inability to assign “original artwork” label to the
Darja Tokranova, Merja Lina Bauters
doaj   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

E-Health Practices and Technologies: A Systematic Review from 2014 to 2019

open access: yes, 2021
E-health can be defined as a set of technologies applied with the help of the internet, in which healthcare services are provided to improve quality of life and facilitate healthcare delivery.
Fanny Kovaleski   +4 more
core   +1 more source

Automated Real-Time Localized Sea State Estimation During Navigation Based on the Beaufort Scale

open access: yesIEEE Open Journal of Intelligent Transportation Systems
This work presents an automated, real-time approach for localized sea state estimation using a single camera mounted on a ship’s bridge. A labeled dataset of sea surface images, collected during regular operation of an overseas liner, is built and
M. Pobar   +3 more
doaj   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan   +14 more
wiley   +1 more source

Dual-input deep learning–based approach for propaganda narratives detection in a low-resource language: a case study in Lithuanian

open access: yesEPJ Data Science
Propaganda narratives play a central role in disseminating disinformation and are tailored to each targeted country’s context and native language. This highlights the pressing need for automated systems capable of detecting and analyzing such narratives,
Ieva Rizgelienė   +2 more
doaj   +1 more source

Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots

open access: yesSensors, 2018
Autonomous robots that assist humans in day to day living tasks are becoming increasingly popular. Autonomous mobile robots operate by sensing and perceiving their surrounding environment to make accurate driving decisions.
Varuna De Silva   +2 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Monitoring Bone Healing: Integrating RF Sensing With AI

open access: yesIEEE Access
This study presents the development of an advanced machine learning model based on a two-dimensional (2D) Radio Frequency (RF) sensing framework for refined monitoring of femoral bone fractures.
Ahmad Aldelemy   +9 more
doaj   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto   +12 more
wiley   +1 more source

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