Results 91 to 100 of about 808,398 (185)

Development of a wide field of view X‐ray imaging detector and its application in X‐ray multi‐scale imaging

open access: yesJournal of Synchrotron Radiation, EarlyView.
A wide field of view X‐ray imaging detector has been developed, and applied to wide‐range X‐ray multi‐scale imaging to visualize a relatively large object from its entire structure to the cellular level.A wide field of view X‐ray imaging detector with an effective field of view of more than 90 mm has been developed.
Masato Hoshino, Kentaro Uesugi
wiley   +1 more source

A Wildlife Multi‐Modal Recognition Method Based on Infrared Camera Images Using MWAC

open access: yesIntegrative Zoology, EarlyView.
A multimodal wild wildlife classification model MWAC consists of two parts:(1) Wavelet KAN module (WDS‐KAN) for image feature extraction, and (2) Label Correlated Text Extraction module (LC‐BERT) for text feature extraction. ABSTRACT Nowadays, infrared camera technology has become an important tool for large‐scale monitoring and assessment of wildlife ...
Siming Deng   +6 more
wiley   +1 more source

On the choice of multiscale entropy algorithm for quantification of complexity in gait data [PDF]

open access: yes, 2018
The present study aimed at identifying a suitable multiscale entropy (MSE) algorithm for assessment of complexity in a stride-to-stride time interval time series.
Yentes, Jennifer M.   +2 more
core   +2 more sources

Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton   +2 more
wiley   +1 more source

Deep Residual Combiner: A Learned Fusion of Spatial, Temporal, and Multiscale Correlated Pixel Estimates

open access: yesComputer Graphics Forum, EarlyView.
Abstract Correlation‐based rendering techniques continue to advance, and efficiently exploiting correlations between pixel estimates has become increasingly important. The deep combiner framework [BHHM20] allows us to fuse independent and correlated pixel estimates but focuses solely on spatial correlations.
W. Zhou, E. Hughes, T. Hachisuka
wiley   +1 more source

A Comprehensive Assessment of EEG Entropy Measures for Bipolar Disorder Diagnosis Using Machine Learning

open access: yesIEEE Access
Bipolar disorder (BD) is a common psychiatric condition with varying severity, characterized by alternating episodes of mania or hypomania and depression, making accurate and timely diagnosis challenging.
Hamed Bagheri   +7 more
doaj   +1 more source

Type-2 Fuzzy Entropy-Sets [PDF]

open access: yes, 2017
The final goal of this study is to adapt the concept of fuzzy entropy of De Luca and Termini to deal with Type-2 Fuzzy Sets. We denote this concept Type-2 Fuzzy Entropy-Set.
Sesma Sara, Mikel   +12 more
core   +1 more source

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

open access: yesComputer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang   +3 more
wiley   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

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