Results 51 to 60 of about 2,393 (179)
An Examination of Task‐Evoked fMRI Data Processing in Functional Connectivity
In this work, we analyzed the preprocessing of task‐fMRI data to explore the contribution of the task information in connectomics towards a methodological consensus for preprocessing among task‐state connectivity studies. We investigated whether a task‐free connectivity can be inferred from task‐fMRI and examined its impact upon a clinical disorder ...
Alice Giubergia +8 more
wiley +1 more source
Adaptive No-Reference Image Quality Assessment Based on Multi-Scale Pyramid Pooling [PDF]
In the Image Quality Assessment (IQA), no-reference quality assessment methods have demonstrated significant application value and development potential for managing distorted images in real-world scenarios.
WU Xuesong, CHEN Yuanyuan, ZHOU Tao
doaj +1 more source
Collective Interactions in Ion Pairs
This study demonstrates, by means of the analysis of the electron density topology, that collective interactions stabilize ion pairs through the simultaneous engagement of multiple atoms, rather than simple pairwise electrostatics. ABSTRACT Collective interactions represent a recently proposed bonding mode in which stabilization arises not from a ...
Jorge Gonzalo +3 more
wiley +1 more source
NITS-IQA Database: A New Image Quality Assessment Database
This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is ...
Jayesh Ruikar, Saurabh Chaudhury
doaj +1 more source
Evaluation of the IQA Delay Estimation Method
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
GIC‐Related Observations During the May 2024 Geomagnetic Storm in the United States
Abstract The May 2024 geomagnetic storm was one of the most severe in the past 20 years. Understanding how large geomagnetic disturbances (GMDs) impact geomagnetically induced currents (GICs) within electrical power grid networks is key to ensuring their resilience.
L. A. Wilkerson +8 more
wiley +1 more source
Pairwise Learning to Rank for Image Quality Assessment
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
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Accepted to IEEE/CVF CVPR 2023. Code will be released post conference in July 2023.
Avinab Saha +2 more
openaire +2 more sources
Single‐mask phase contrast and dark‐field imaging methods offer the great advantage of being simple to implement, translating most of the complexity to the numerical side. In this work, we study the impact of the modulation topology on the image quality retrieved both on numerical simulation and experiments.Phase contrast and dark‐field imaging are ...
Clara Magnin +5 more
wiley +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley +1 more source

