Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Wanjie LU"'
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 714-729 (2024)
The field of Synthetic Aperture Radar Automatic Target Recognition (SAR-ATR) lacks effective black-box attack algorithms. Therefore, this research proposes a migration-based black-box attack algorithm by combining the idea of the Momentum Iterative F
Externí odkaz:
https://doaj.org/article/6e8d817c70d448bebd5227bb648f4af6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8673-8696 (2024)
Synthetic aperture radar automatic target recognition (SAR-ATR) models based on deep neural networks (DNNs) are vulnerable to attacks of adversarial examples. Universal adversarial attack algorithms can help evaluate and improve the robustness of the
Externí odkaz:
https://doaj.org/article/77f6375e1bbb42519fb1fc0e7be8ca24
Publikováno v:
IET Electric Power Applications, Vol 17, Iss 6, Pp 773-787 (2023)
Abstract Oil‐immersed transformers play an important role in the stable operation of power systems. In order to improve the accuracy of transformer fault diagnosis, a transformer fault diagnosis method based on Isomap and IChOA‐LSSVM is proposed.
Externí odkaz:
https://doaj.org/article/8388d578ad8a444c833f184a83d4c5ad
Publikováno v:
Sensors, Vol 24, Iss 11, p 3384 (2024)
Currently, many fault diagnosis methods for rolling bearings based on deep learning are facing two main challenges. Firstly, the deep learning model exhibits poor diagnostic performance and limited generalization ability in the presence of noise sign
Externí odkaz:
https://doaj.org/article/98c36cf5d5644b7080a301c0d3abb944
Publikováno v:
IEEE Access, Vol 11, Pp 35336-35351 (2023)
The problem of the low accuracy of Dissolved Gas Analysis (DGA) in diagnosing transformer faults is addressed by proposing an Improved Golden Jackal Optimization (IGJO) based Stochastic Configuration Network (SCN) method. The method of transformer fa
Externí odkaz:
https://doaj.org/article/606349a4bf9149fcb5abb71bbc05292d
Publikováno v:
IEEE Photonics Journal, Vol 15, Iss 2, Pp 1-11 (2023)
Multispectral image reconstruction, which aims to recover a three-dimensional (3D) spatial–spectral signal from a two-dimensional measurement in a spectral camera based on ghost imaging via sparsity constraint (GISC), has been attracting much atten
Externí odkaz:
https://doaj.org/article/baca6066445d4444a5353ee405cbb018
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1211-1231 (2023)
The object detection of unmanned aerial vehicle (UAV) images has widespread applications in numerous fields; however, the complex background, diverse scales, and uneven distribution of objects in UAV images make object detection a challenging task. T
Externí odkaz:
https://doaj.org/article/fdbb51c46f824e46a17513bbed48f89e
High-Quality Object Detection Method for UAV Images Based on Improved DINO and Masked Image Modeling
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4740 (2023)
The extensive application of unmanned aerial vehicle (UAV) technology has increased academic interest in object detection algorithms for UAV images. Nevertheless, these algorithms present issues such as low accuracy, inadequate stability, and insuffi
Externí odkaz:
https://doaj.org/article/a85f3953fe964b5bbce6152ce8d30f5b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9746-9759 (2022)
Landslide detection based on remote sensing images is an effective method for rapidly and accurately detecting landslide regions, which can aid in disaster prevention and mitigation. Landslide detection methods based on semantic segmentation can be u
Externí odkaz:
https://doaj.org/article/76153e99f7f64ea39faa6c75b34ed429
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3393 (2023)
Fine-grained classification of ship targets is an important task in remote sensing, having numerous applications in military reconnaissance and sea surveillance. Due to the influence of various imaging factors, ship targets in remote sensing images h
Externí odkaz:
https://doaj.org/article/04bbbe355bc14055936db50bc925ad6d