Results 11 to 20 of about 11,210,090 (249)

Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain

Plants, 2022
Few-shot learning (FSL) is suitable for plant-disease recognition due to the shortage of data. However, the limitations of feature representation and the demanding generalization requirements are still pressing issues that need to be addressed.
Hong Lin, Rita Tse, Su-Kit Tang, Zhenping Qiang, Giovanni Pau   +4 more
doaj   +3 more sources

P-Wave detection using deep learning in time and frequency domain for imbalanced dataset

Heliyon, 2021
Early tsunami and earthquake warning systems need a good Automatic First Arrival Picking (AFAP) subsystem to determine the earthquake arrival time.
Rhesa Aditya Sugondo, Carmadi Machbub
doaj   +3 more sources

Federated Learning Backdoor Attack Based on Frequency Domain Injection

Entropy
Federated learning (FL) is a distributed machine learning framework that enables scattered participants to collaboratively train machine learning models without revealing information to other participants. Due to its distributed nature, FL is susceptible
Jiawang Liu, Changgen Peng, Weijie Tan, Chenghui Shi   +3 more
doaj   +2 more sources

TrajRL-TFF: A Trajectory Representation Learning Method Based on Time-domain and Frequency-domain Feature Fusion

Computational Urban Science
Trajectory representation learning transforms raw trajectory data (sequences of spatiotemporal points) into low-dimensional representation vectors to improve downstream tasks such as trajectory similarity computation, prediction, and classification ...
Kang Liu, Zhiying Lin, Kemin Zhu, Ling Yin, Jianze Zheng, Yongheng Feng, Shaohua Wang, Yan Zhang   +7 more
doaj   +2 more sources

Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification

Remote Sensing, 2022
Hyperspectral remote sensing image (HSI) classification is very useful in different applications, and recently, deep learning has been applied for HSI classification successfully.
Jiangbo Xi, Okan K. Ersoy, Ming Cong, Chaoying Zhao, Wei Qu, Tianjun Wu   +5 more
doaj   +1 more source

A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions

Remote Sensing, 2022
Accurately detecting landslides over a large area with complex background objects is a challenging task. Research in the area suffers from three drawbacks in general.
Bo Yu, Ning Wang, Chong Xu, Fang Chen, Lei Wang   +4 more
doaj   +1 more source

A Fourier Frequency Domain Convolutional Neural Network for Remote Sensing Crop Classification Considering Global Consistency and Edge Specificity

Remote Sensing, 2023
The complex remote sensing image acquisition conditions and the differences in crop growth create many crop classification challenges. Frequency decomposition enables the capture of the feature information in an image that is difficult to discern ...
Binbin Song, Songhan Min, Hui Yang, Yongchuang Wu, Biao Wang   +4 more
doaj   +1 more source

B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels [PDF]

, 2014
A practical single-carrier (SC) block transmission with frequency domain equalisation (FDE) system can generally be modelled by the Hammerstein system that includes the nonlinear distortion effects of the high power amplifier (HPA) at transmitter.
Hong, Xia, Chen, Sheng, Harris, Chris J.
core   +2 more sources

MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images

GIScience & Remote Sensing, 2022
Building extraction is significant in urban planning, economic evaluation, and driverless technology development. However, automatic building extraction from high spatial resolution remote sensing images has been a challenging task due to the various ...
Bo Yu, Fang Chen, Ning Wang, Lu Yang, Haiping Yang, Lei Wang   +5 more
doaj   +1 more source

Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis

Sensors, 2021
In recent years, transfer learning has been widely applied in fault diagnosis for solving the problem of inconsistent distribution of the original training dataset and the online-collecting testing dataset. In particular, the domain adaptation method can
Xudong Li, Jianhua Zheng, Mingtao Li, Wenzhen Ma, Yang Hu   +4 more
doaj   +1 more source