Results 71 to 80 of about 18,121 (198)
Evaluation of the IQA Delay Estimation Method
Procedia - Social and Behavioral Sciences, 2011 AbstractThe Incremental Queue Accumulation (IQA) method is the new delay estimation method for signalized intersections adopted for the Highway Capacity Manual 2010. Using a signalized intersection and a remote data collection facility, the IQA method was evaluated for its accuracy and for potential challenges that practitioners may encounter as they ...
Keita, Yaye M., Saito, Mitsuru
openaire +1 more source
Socially oriented attention in young children with neurofibromatosis type 1: An eye‐tracking study
Developmental Medicine &Child Neurology, Volume 68, Issue 4, Page 541-548, April 2026.Plain language summary: https://onlinelibrary.wiley.com/doi/10.1111/dmcn.70050 Abstract Aim To examine visual engagement to social stimuli and response to joint attention in young children with neurofibromatosis type 1 (NF1) and typically developing peers (controls). Method Forty‐five preschool children were studied cross‐sectionally (mean age [SD] = 4
Kristina M. Haebich +6 more
wiley +1 more source
Localized Particle States and Dynamics Gravitational Effects
, 2005 Scalar particles--i.e., scalar-field excitations--in de Sitter space exhibit behavior unlike either classical particles in expanding space or quantum particles in flat spacetime.
B. S. DeWitt +6 more
core +1 more source
Statistics in Medicine, Volume 45, Issue 6-7, March 2026.ABSTRACT Factor analysis (FA) can be used to identify key biomarkers in biological processes by assuming that latent biological pathways (statistically, “latent factors”) drive the activity of measurable biomarkers (“observed variables”). However, biological pathways often interact, meaning that the classical FA assumption of independence between ...
Jiachen Cai +2 more
wiley +1 more source
Pairwise Learning to Rank for Image Quality Assessment
IEEE Access, 2020 Because the pairwise comparison is a natural and effective way to obtain subjective image quality scores, we propose an objective full-reference image quality assessment (FR-IQA) index based on pairwise learning to rank (PLR).
Yiqing Shi +4 more
doaj +1 more source
MP2-IQA: upscaling the analysis of topologically partitioned electron correlation [PDF]
Journal of Molecular Modeling, 2018 When electronic correlation energy is partitioned topologically, a detailed picture of its distribution emerges, both within atoms and between any two atoms. This methodology allows one to study dispersion beyond its more narrow definition in long-range Rayleigh-Schrödinger perturbation theory.
Arnaldo F. Silva, Paul L. A. Popelier
openaire +2 more sources
Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images
, 2018 In this paper, an efficient Minkowski Distance based Metric (MDM) for no-reference (NR) quality assessment of contrast distorted images is proposed. It is shown that higher orders of Minkowski distance and entropy provide accurate quality prediction for ...
Cheriet, Mohamed, Nafchi, Hossein Ziaei
core +1 more source
Diaphragm Ultrasonography During Respiratory Manoeuvres
Sonography, Volume 13, Issue 1, March 2026.ABSTRACT This study aimed to describe diaphragm ultrasonography (DU) during mouth occlusion pressure (P0.1) and maximal inspiratory pressure (MIP) in healthy participants. Four participants performed: (i) neurophysiological tests and then (ii) simultaneous DU with P0.1 and MIP.
Joao Leote +8 more
wiley +1 more source
Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment
IEEE Access, 2019 2D image quality assessment (IQA) and stereoscopic 3D IQA are considered as two different tasks in the literature. In this paper, we present an index for both no-reference 2D and 3D IQA.
Yuzhen Niu +3 more
doaj +1 more source
Predicting Face Recognition Performance Using Image Quality [PDF]
, 2015 This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e.g. pose, illumination, etc.) and recognition performance measures
Dutta, Abhishek +2 more
core +1 more source