Results 111 to 120 of about 38,801 (275)

Undersampling and the measurement of beta diversity

Methods in Ecology and Evolution, 2013
Summary Beta diversity is a conceptual link between diversity at local and regional scales. Various additional methodologies of quantifying this and related phenomena have been applied. Among them, measures of pairwise (dis)similarity of sites are particularly popular. Undersampling, i.e.
Beck, Jan, Holloway, Jeremy D., Schwanghart, Wolfgang   +2 more
openaire   +3 more sources

Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten, Beatrice Lena, Chloé Najac, Ruben van den Broek, Peter Börnert, Andrew Webb, Yiming Dong   +6 more
wiley   +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

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Hybrid Oversampling and Undersampling Method (HOUM) via Safe-Level SMOTE and Support Vector Machine

Applied Sciences
The improvements in collecting and processing data using machine learning algorithms have increased the interest in data mining. This trend has led to the development of real-life decision support systems (DSSs) in diverse areas such as biomedical ...
Duygu Yilmaz Eroglu, Mestan Sahin Pir
doaj   +1 more source

On the relative importance of the hot stove effect and the tendency to rely on small samples

Judgment and Decision Making, 2009
Experiments have suggested that decisions from experience differ from decisions from description. In experience-based decisions, the decision makers often fail to maximise their payoffs. Previous authors have ascribed the effect of underweighting of rare
Takemi Fujikawa
doaj   +1 more source

Single‐Shot 2D Radial Echo Planar Imaging for Functional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a novel single‐shot radial echo planar imaging (ss‐rEPI) technique for rapid, distortion‐free brain imaging in functional MRI experiments. Methods Radial multi‐gradient echo (radial mGRE) data were acquired on a 3T clinical scanner using a 2D ss‐rEPI readout with small golden‐angle rotations between echoes.
Christoph A. Rettenmeier, Zidan Yu, Krystalyn Edwards‐Calma, Kai Tobias Block, V. Andrew Stenger   +4 more
wiley   +1 more source

A comprehensive checklist of Mediterranean wild edible plants: Diversity, traditional uses, and knowledge gaps

PLANTS, PEOPLE, PLANET, EarlyView.
The use of wild edible plants and the traditional knowledge associated with them are rapidly disappearing across the Mediterranean, with serious consequences for biodiversity, cultural heritage, and regional food security. This study compiles and organizes fragmented information to create the first comprehensive catalogue of these plants across the ...
Benedetta Gori, Tiziana Cossu, Hicham El Zein, Udayangani Liu, Tiziana Ulian, Gianluigi Bacchetta   +5 more
wiley   +1 more source

Classification of Anomalies in Microservices Using an XGBoost-Based Approach With Data Balancing and Hyperparameter Tuning

IEEE Open Journal of the Computer Society
Microservice architecture has emerged as a leading paradigm for decomposing large monolithic applications into smaller, autonomous services. Although this approach offers many advantages, its complexity, distributed nature, and substantial scale create ...
Luis M. Barata, Eurico Lopes, Pedro R. M. Inacio, Mario M. Freire   +3 more
doaj   +1 more source

A review of the FATIMA Yellow Sea field campaign research

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee, Ismail Gultepe, H. J. S. Fernando, Saša Gaberšek, Luc Lenain, Qing Wang, Edward D. Creegan, Eric Pardyjak, Clive Dorman, Lossif Lozovatsky, David G. Ortiz‐Suslow, Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Eren Gultepe, S. Hoch, A. Perelet, D. Singh, Joo Wan Cha, Lian Shen, Anup Vaman Barve, Anne Dowling, Sen Wang, Gianina Giacosa, Laurent Grare, Peter Taylor, Zheqi Chen, Rachel Y.‐W. Chang, Piyush Teeloku, Nicholas Gapp, Seung‐Woo Lee, Jong‐Min Jeong, Hojin Kim, Jin‐Yong Jeong, Ki‐Young Heo, Minsang Kim, Myung‐Sook Park, Kyung‐Hee Oh, Joon‐Seong Park, Dong‐Chull Jeon, Kyu‐Min Song, Jae‐Yeob Kim, Dawoon Jung, Kyung‐Il Chang, Jae Hak Lee, Kyung Man Kim, Daehun Yu, Seong Soo Yum, Andrew J. Heymsfield, Martin Agelin‐Chaab, Tae‐Young Goo, Dong‐Gyun Ryu   +50 more
wiley   +1 more source