Results 81 to 90 of about 2,159,265 (282)
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
Advanced Intelligent Systems, EarlyView.The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
Advanced Intelligent Systems, EarlyView.This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
Sparse kernel modelling: a unified approach
, 2007 A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria
Hong, X., Harris, C.J., Chen, S.
core +1 more source
IEEE Access, 2018 To improve the efficiency of blur kernel estimation based on prior knowledge, a method of deblurring an image based on rich edge region extraction using a gray-level co-occurrence matrix is proposed in this paper.
Minghua Zhao +4 more
doaj +1 more source
Kernel estimation for robust motion deblurring of noisy and blurry images
, 2016 Most state-of-the-art single image blind deblurring techniques are still sensitive to image noise, leading to serious performance degradation in their blur kernel estimation when the input image noise increases.
Lv JF(吕进锋) +4 more
core
Scale‐space image analysis for mapping spotted knapweed in grassland ecosystems
Applications in Plant Sciences, EarlyView.Abstract Premise This study investigates the value of scale‐space representations of spatial features for the identification and mapping of invasive plants using high‐resolution multispectral imagery. Scale‐space representations combine the two‐dimensional spatial domain with a third dimension representing spatial scale, such that features can be ...
Shohreh Sahebi, David J. Hill
wiley +1 more source
A mixed single image motion deblur method
Dianzi Jishu Yingyong, 2019 The blind recovery of images is a difficult problem in the field of digital image processing. Researching the restoration of motion blurred images，a hybrid single image motion deblur method is proposed.
Wang Siyu +3 more
doaj +1 more source
Anatomical Sciences Education, EarlyView.Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Carrion ecology: concepts, interdisciplinary synthesis, and perspectives
Biological Reviews, EarlyView.ABSTRACT Carrion is a ubiquitous resource in both terrestrial and aquatic ecosystems, yet it has long been overlooked in ecological research. Over the past two decades, studies on carrion and the many organisms that exploit it have flourished, revealing not only wide‐ranging ecological functions but also significance far beyond ecology.
Marcos Moleón +38 more
wiley +1 more source
IEEE Access, 2018 Spatial remote sensing images are usually degraded during image capturing procedures mainly due to the mixed factors of atmospheric turbulence, spacecraft motion, and out of focus lenses.
Kun Gao, Zhenyu Zhu, Zeyang Dou, Lu Han
doaj +1 more source