Results 51 to 60 of about 1,190,682 (254)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

A Unified Cross-Scale Calibration and Adaptation Fusion Framework for Multimodal Remote Sensing Semantic Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The segment anything model (SAM) offers strong feature extraction and segmentation performance for remote sensing. However, for multimodal remote sensing semantic segmentation (MRSSS), SAM suffers from limited adaptation to domain-specific data ...
Shaoliang Deng, Jiayuan Li, Yanyu Zhang, Zhen Wang, Zhuhong You   +4 more
doaj   +1 more source

Weed resistance assessment through airborne multimodal data fusion and deep learning: A novel approach towards sustainable agriculture

International Journal of Applied Earth Observations and Geoinformation, 2023
Herbicide-resistant weeds represent a significant challenge to modern agriculture. The need for innovative and sustainable weed management strategies has become increasingly pressing as the threat of herbicide-resistant weeds continues to escalate ...
Fulin Xia, Zhaoxia Lou, Deng Sun, Hailong Li, Longzhe Quan   +4 more
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

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

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Workshop at Data and Planning Center of NIFS in 2003 "Assesment of Fusion R&D" - The Critical Issues of Demonstration Fusion Reactor - [PDF]

, 2004
実証炉を構想しそれに至る課題を整理することは、核融合研究開発の現状を評価するうえで最も適切な作業のひとつと考えた。磁場閉じ込めと慣性閉じ込め核融合に共通な課題は経済性の改善である。また、磁場閉じ込めではトカマクもヘリカルも将来性のあるダイバータの開発は共通である。 経済性に関しては先進トカマクや高速点火方式のレーザ慣性核融合の提案が出てきている。さらにダイバータに関しては可動型や外置き型の研究が進められている。これらの要約は添付した。In order to asses the fusion ...
TAZIMA, Teruhiko, TAJIMA, Teruhiko, IGUCHI, Harukazu   +2 more
core  

DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Recently, the classification of multimodal remote sensing images (RSIs) has garnered significant attention due to its ability to provide rich information for various scenes on Earth.
Shiyang Feng, Zhaowei Li, Bo Zhang, Tao Chen, Bin Wang   +4 more
doaj   +1 more source

Review of Research on Multimodal Data Fusion Methods in Meteorology [PDF]

Jisuanji kexue yu tansuo
Advancements in multi-source observation technologies have ushered in the era of multimodal meteorological data. However, single-modal data is inherently limited in its ability to characterize the complex and dynamic atmospheric system, failing to meet ...
WU Ruofei, FANG Wei, JIANG Hongru, BAO Yansong
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source