Zobrazeno 1 - 10
of 16 480
pro vyhledávání: '"SPATIAL ATTENTION"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1817-1826 (2025)
Precise and timely crop type mapping delivers insights into crop growth statistics and ensures food security for growing economies. Automated mapping is crucial in several agricultural applications, including crop wear assessment and yield forecastin
Externí odkaz:
https://doaj.org/article/48b58e08feb24587aa35749036a058d4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 557-568 (2025)
Change detection is an important task in geospatial analysis that aims to identify noticeable variations in geographic elements between images captured at different periods. However, existing methods often overlook the distribution discrepancies acro
Externí odkaz:
https://doaj.org/article/ed3b506c07eb4110bd9fbc5728b60715
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract This study introduces a novel Blind Image Quality Assessment (BIQA) approach leveraging a multi-stream spatial and channel attention model. Our method addresses challenges posed by diverse image content and distortions by integrating feature
Externí odkaz:
https://doaj.org/article/eb7e1319b95648a69a79b4838dbb79a4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Visual search is guided by visual working memory representations (i.e., attentional templates) that are activated prior to search and contain target-defining features (e.g., color). In the present study, we tested whether attentional templat
Externí odkaz:
https://doaj.org/article/d0efb6664aef4b2988866ebcda47cb98
Autor:
Santosh Kumar Tripathy, Rudra Kalyan Nayak, Kartik Shankar Gadupa, Rajnish Dinesh Mishra, Ashok Kumar Patel, Santosh Kumar Satapathy, Akash Kumar Bhoi, Paolo Barsocchi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Early detection of Alzheimer's disease (AD) is critical due to its rising prevalence. AI-aided AD diagnosis has grown for decades. Most of these systems use deep learning using CNN. However, a few concerns must be addressed to identify AD: a
Externí odkaz:
https://doaj.org/article/427a86127f234fa2b94b44b0414558be
Autor:
Shuangmei Li, Chengning Huang
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200172- (2024)
Convolutional neural networks are widely used for feature extraction in the fields of object detection and image segmentation. However, traditional CNN models often struggle to ensure accuracy in high noise environments. A study proposes an enhanced
Externí odkaz:
https://doaj.org/article/3e9bd92bdb8c48db8c588f91666b2105
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Attention is often viewed as a mental spotlight, which can be scaled like a zoom lens at specific spatial locations and features a center-surround gradient. Here, we demonstrate a neural signature of attention spotlight in signal transmissio
Externí odkaz:
https://doaj.org/article/095fd8711e7442ab88c46ef874784678
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Medical image segmentation has made a significant contribution towards delivering affordable healthcare by facilitating the automatic identification of anatomical structures and other regions of interest. Although convolution neural networks
Externí odkaz:
https://doaj.org/article/756d05bdcb7045e99c75b218bebc0c68
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract When lying inside a MRI scanner and even in the absence of any motion, the static magnetic field of MRI scanners induces a magneto-hydrodynamic stimulation of subjects’ vestibular organ (MVS). MVS thereby not only causes a horizontal vesti
Externí odkaz:
https://doaj.org/article/9c37347d31a84db992ee0ac4e205dccb