Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Hongmin GAO"'
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionHybrid architectures based on convolutional neural networks and Transformers, effectively captures both the local details and the overall structural context of lesion tissues and cells, achieving highly competitive segmentation results in
Externí odkaz:
https://doaj.org/article/2b3fe8eca7cb4df3a14724937509e515
Publikováno v:
IET Image Processing, Vol 18, Iss 6, Pp 1655-1665 (2024)
Abstract Object detection in remote sensing images poses great challenges due to the dense distribution, arbitrary orientation, and aspect ratio variations of objects. Most of the existing methods rely on aligned convolutional features, which fail to
Externí odkaz:
https://doaj.org/article/fa593783163849599f4726e1766054d5
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102155- (2024)
The recent rapid expansion of cloud computing has led to the prominence of Cloud Data Center (CDC) emerging. However, user requests’ waiting time might be greatly increased for a single physical machine (PM) in the CDC. We provide a cloud resource
Externí odkaz:
https://doaj.org/article/167fcae8e1b54f0f86f554d9cac5e3fb
Publikováno v:
IET Image Processing, Vol 18, Iss 3, Pp 602-614 (2024)
Abstract Salient object detection (SOD), one of the most important applications in the field of computer vision, aims to extract the most visually appealing regions of scenes. However, the improvement of the accuracy of existing salient object detect
Externí odkaz:
https://doaj.org/article/3272c41975654eb39dc230fc9d1f0718
Publikováno v:
IET Image Processing, Vol 18, Iss 2, Pp 548-560 (2024)
Abstract As satellite imagery technology advances, remote sensing plays an increasingly prominent role in modern society. Nevertheless, the limitations of existing imaging sensors and complex atmospheric conditions constrain the quality of raw remote
Externí odkaz:
https://doaj.org/article/375e4e3b5d2349d2aa7ffa12f507257a
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10652 (2024)
Electromagnetic technology is widely applied in numerous fields, and precise electromagnetic characteristic fitting technology has become a crucial part for enhancing system performance and optimizing design. However, it faces challenges such as high
Externí odkaz:
https://doaj.org/article/bf0978dffab34b0abb518e7710fbb464
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract Web3.0 represents the ongoing evolution of blockchain technology, placing a strong emphasis on establishing a decentralized and user-controlled Internet. Current data delegation solutions for Web3.0 predominantly rely on attribute-based encr
Externí odkaz:
https://doaj.org/article/d8dab10ce05e4e18b3bf17a0d91d3975
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7708 (2024)
Traditional range–instantaneous Doppler (RID) methods for maneuvering target imaging are hindered by issues related to low resolution and inadequate noise suppression. To address this, we propose a novel ISAR imaging method enhanced by deep learnin
Externí odkaz:
https://doaj.org/article/eb36cef358774c35b6ebaf49eb35fa3f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12889-12907 (2023)
Recently, convolutional neural networks (CNNs) have performed well in object classification and object recognition. However, due to the particularity of geographic data, the labeled samples are seriously insufficient, which limits the practical appli
Externí odkaz:
https://doaj.org/article/dd4487b5f5a24d80a574a2276c438074
LWCCNet: Lightweight Remote Sensing Change Detection Network Based on Composite Convolution Operator
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8621-8631 (2023)
Change detection is a basic remote sensing image processing task in agriculture, urban planning, disaster assessment, and other fields. Fully convolutional Siamese network is currently employed as the primary solution for remote sensing change detect
Externí odkaz:
https://doaj.org/article/0de081f9ff3d4dccae01dc85e358ea44