Results 61 to 70 of about 82,164 (262)

The Impact of Tilburg Frailty on Poststroke Fatigue in First‐Ever Stroke Patients: A Cross‐Sectional Study With Unified Measurement Tools and Improved Statistics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen   +6 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Deep learning for mango leaf disease identification: A vision transformer perspective

open access: yesHeliyon
Over the last decade, the use of machine learning in smart agriculture has surged in popularity. Deep learning, particularly Convolutional Neural Networks (CNNs), has been useful in identifying diseases in plants at an early stage.
Md. Arban Hossain   +3 more
doaj   +1 more source

Transforming vision into action

open access: yesVision Research, 2011
Traditionally, research on vision focused on its role in perception and our cognitive life. Except for the study of eye movements, which have been regarded as an information-seeking adjunct to visual perception, little attention was paid to the way in which vision is used to control our actions, particularly the movements of our hands and limbs.
openaire   +2 more sources

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah   +5 more
wiley   +1 more source

Vision Transformers and Transfer Learning Approaches for Arabic Sign Language Recognition

open access: yesApplied Sciences, 2023
Sign languages are complex, but there are ongoing research efforts in engineering and data science to recognize, understand, and utilize them in real-time applications.
Nojood M. Alharthi, Salha M. Alzahrani
doaj   +1 more source

EcoBlock: Grid Impacts, Scaling, and Resilience [PDF]

open access: yes, 2017
Widespread deployment of EcoBlocks has the potential to transform today's electricity system into one that is more resilient, flexible, efficient and sustainable.
Bariya, Mohini   +3 more
core  

Vision Transformers in medical computer vision—A contemplative retrospection

open access: yesEngineering Applications of Artificial Intelligence, 2023
Recent escalation in the field of computer vision underpins a huddle of algorithms with the magnificent potential to unravel the information contained within images. These computer vision algorithms are being practised in medical image analysis and are transfiguring the perception and interpretation of Imaging data.
Arshi Parvaiz   +5 more
openaire   +2 more sources

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

A Mission of the Heart: What Does It Take to Transform a School? 2008 [PDF]

open access: yes, 2008
Based on interviews and focus group discussions with principals and superintendents, examines the leadership skills, commitments, resources, and supports needed to turn around low-performing schools and how to recruit and retain qualified ...

core  

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