Results 91 to 100 of about 963,417 (295)

Identification of Statistically Homogeneous Pixels Based on One-Sample Test

Remote Sensing, 2017
Statistically homogeneous pixels (SHP) play a crucial role in synthetic aperture radar (SAR) analysis. In past studies, various two-sample tests were applied on multitemporal SAR data stacks under the assumption of having stationary backscattering ...
Keng-Fan Lin, Daniele Perissin
doaj   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source

MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection

Remote Sensing, 2018
Geospatial object detection is a fundamental but challenging problem in the remote sensing community. Although deep learning has shown its power in extracting discriminative features, there is still room for improvement in its detection performance ...
Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao   +4 more
doaj   +1 more source

Blowing in the Wind : Regularizations and Outlier Removal

, 2017
Every day tons of pollutants are emitted into the atmosphere all around the world. These pollutants are altering the equilibrium of our planet, causing profound changes in its climate, increasing global temperatures, and raising the sea level. The need to curb these emissions is clear and urgent. To do so, it is first necessary to estimate the quantity
openaire   +1 more source

AlbertoBarbado/unsupervised-outlier-transparency v1.0.0

, 2019
<p>Implementation of different algorithms to infer comprehensible explanations from the outcome of an unsupervised outlier detection algorithm</p> <p>OneClass SVM is a popular method to perform unsupervised outlier detection on the ...
Barbado Gonzalez, Alberto
core   +1 more source

A Scoping Review and Meta‐Analysis of Proportions of Central Nervous System Manifestations Reported in Patients with Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objective The objective of this scoping review was to synthesize evidence on the proportion of individuals living with Sjögren's disease who experience central nervous system (CNS) manifestations. Methods We searched MEDLINE (via PubMed) and Embase from 1980 through January 29, 2026, and the ECRI Guidelines Trust from 2020 through January 29, 2026 ...
Arun Varadhachary, Ghaith Noaiseh, Julie Frantsve‐Hawley, Frederick B. Vivino, Jennifer A. McCombe, Shamik Bhattacharyya, E. Sherwood Brown, Andrew R. Carey, Robert Fox, Thomas Grader‐Beck, Janet E. Lewis, Stephen Maitz, Steven Mandel, Astrid Rasmussen, George Sarka, R. Hal Scofield, Daniel J. Wallace, Rochelle Zak, Kristie Cox, Katherine M. Hammitt, Steven Carsons, Nancy Carteron   +21 more
wiley   +1 more source

Semantic Outlier Removal with Embedding Models and LLMs

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
Accepted to the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Industry Track, 10 ...
Eren Akbiyik, João F. M. de Almeida, Rik Melis, Ritu Sriram, Viviana Petrescu, Vilhjálmur Vilhjálmsson   +5 more
openaire   +2 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

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

Advanced 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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation

, 2022
The traditional homography estimation pipeline consists of four main steps: feature detection, feature matching, outlier removal and transformation estimation. Recent deep learning models intend to address the homography estimation problem using a single
He, Zhenyu, Pei, Wenjie, Li, Yi
core