Results 91 to 100 of about 34,267,745 (273)

No-reference video quality assessment for underground drilling sites based on spatiotemporal domain dynamic aggregation

open access: yesGong-kuang zidonghua
No-Reference Video Quality Assessment (NRVQA) is a key technique for evaluating the video quality of underground drilling sites in coal mines and enabling remote monitoring.
WANG Siqian, DONG Lihong, YE Ou
doaj   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

No-Reference Video Quality Assessment based on The Dover Framework using A Transfer Learning Method

open access: yesJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
No-reference Video Quality Assessment (VQA) presents a critical challenge in digital multimedia. This study explores video quality measurement using the DOVER framework combined with a transfer learning method. While existing approaches often rely on end-
Ardhi Muda Ariska   +1 more
doaj   +1 more source

Caregiver Perspectives on the Burden of Disease and Treatment in Uncontrolled Gout

open access: yesArthritis Care &Research, EarlyView.
Objective Uncontrolled gout (UG) refers to persistently elevated serum urate (SU) levels >6 mg/dL and ongoing gout symptoms despite use of urate‐lowering therapy (ULT). The objective of this study was to evaluate the burden associated with informal caregiving for individuals with UG.
Angelo Gaffo   +6 more
wiley   +1 more source

A No-Reference Machine Learning Based Video Quality Predictor [PDF]

open access: yes, 2013
The growing need of quick and online estimation of video quality necessitates the study of new frontiers in the area of no-reference visual quality assessment.
Lövström, Benny,   +8 more
core   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling   +4 more
wiley   +1 more source

Subjective Quality Assessment of H.264/AVC Video Streaming with Packet Losses

open access: yesEURASIP Journal on Image and Video Processing, 2011
Research in the field of video quality assessment relies on the availability of subjective scores, collected by means of experiments in which groups of people are asked to rate the quality of video sequences.
Naccari Matteo   +5 more
doaj  

No-reference video quality assessment metric using spatiotemporal features through LSTM

open access: yes, 2021
No-reference video quality assessment metric using spatiotemporal features through ...
Glory Lee (13071450)   +4 more
core  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

Spatiotemporal Feature Combination Model for No-Reference Video Quality Assessment

open access: yes, 2018
One of the main challenges in no-reference video quality assessment is temporal variation in a video. Methods typically were designed and tested on videos with artificial distortions, without considering spatial and temporal variations simultaneously. We
Men, Hui   +5 more
core   +1 more source

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