Results 121 to 130 of about 17,625 (278)

Transparency, Sustainable Governance and Digital Accessibility in Municipalities: A Machine Learning Approach

Sustainable Development, EarlyView.
ABSTRACT Achieving the Sustainable Development Goals (SDGs) requires transparent and accountable local governments, yet little is known about the structural drivers of municipal transparency. This study introduces a machine learning approach to predict municipal transparency using the Bidimensional Transparency Index (BTI), which measures both the ...
Ana M. Plata‐Díaz, Elisabeth Zafra‐Gómez, Juan C. Garrido‐Rodríguez, M. Carmen Pérez‐López   +3 more
wiley   +1 more source

Φ-OTDR Based on Undersampling Heterodyne Detection

Applied Sciences
We demonstrate a distributed acoustic sensing (DAS) system based on phase-sensitive optical time-domain reflectometry (Φ-OTDR) that employs I/Q demodulation and heterodyne detection.
Jiaxiang Feng, Dandan Zhang, Yuan Mao
doaj   +1 more source

The Photometry of Undersampled Point‐Spread Functions

Publications of the Astronomical Society of the Pacific, 1999
20 pages, 14 postscript figures, submitted to the ...
openaire   +2 more sources

T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

SmartBot, EarlyView.
Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo, Zihang Zhao, Leiyao Cui, Saiyao Zhang, Liu Yang, Zhi Han, Xiyuan Tang, Yixin Zhu   +7 more
wiley   +1 more source

Trends in thunderstorm days, lightning activity, squalls and the environmental factors in Hong Kong

Weather, EarlyView.
This study analyses trends in Hong Kong's convective weather using long‐term observer‐based and shorter‐term instrument‐based data. Annual thunderstorm days increased significantly by 1.9 days decade−1 in 1947–2024, notably in June–September, consistent with increasingly favourable warm‐season environments for thunderstorms.
Yuk Sing Lui, Kin‐chung Hui, Chun‐wing Choy, Pak‐wai Chan, Ming‐chun Lam, Kin‐yu Chan   +5 more
wiley   +1 more source

Single-frequency measurements using undersampling methods [PDF]

, 1998
The objective of this study is to verify the Symmetrical Number System (SNS) undersampling receiver architecture using software and to investigate implementation issues using digital signal processing (DSP) hardware.
Chia, Eng S.
core  

Undersampled Phase Retrieval with Image Priors

CoRR
Phase retrieval seeks to recover a complex signal from amplitude-only measurements, a challenging nonlinear inverse problem. Current theory and algorithms often ignore signal priors. By contrast, we evaluate here a variety of image priors in the context of severe undersampling with structured random Fourier measurements.
Stanislas Ducotterd, Zhiyuan Hu, Michael Unser, Jonathan Dong   +3 more
openaire   +2 more sources

Shifting attitudes toward brown bears in Bulgaria: a longitudinal and regional analysis

Wildlife Biology, EarlyView.
Longitudinal research on public attitudes toward large carnivores is scarce, limiting our understanding of how human–wildlife coexistence evolves. This study aimed to bridge this gap by replicating a 2012 survey on attitudes toward brown bears Ursus arctos in four bear‐populated regions of Bulgaria.
Nikola Ganchev, Vladimir Todorov, Sabrina Dressel   +2 more
wiley   +1 more source

FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites. [PDF]

Magn Reson Med
ABSTRACT Purpose The aim of this study is to evaluate a deep variational network, FlowVN, for the reconstruction of heavily undersampled 4D Flow MRI across multiple sites. Methods FlowVN was trained on fully sampled 4D Flow MRI datasets of healthy volunteers from one site. The model was tested on retrospective undersampled data (R = 6–22) of six normal
Qazi SA, Bianchessi T, Viola F, Trenti C, Ylipää E, Ebbers T, Dyverfeldt P.   +6 more
europepmc   +2 more sources

Splatshop: Efficiently Editing Large Gaussian Splat Models

Computer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer   +5 more
wiley   +1 more source