Results 11 to 20 of about 224 (152)
The Ridgelet transform of distributions [PDF]
Integral Transforms and Special Functions, 2013 We define and study the ridgelet transform of (Lizorkin) distributions. We establish connections with the Radon and wavelet transforms.
Kostadinova, Sanja +3 more
openaire +3 more sources
IET Radar, Sonar &Navigation, Volume 17, Issue 12, Page 1743-1759, December 2023., 2023 An overview of the past and current clutter theoretical models and clutter suppression techniques in the HFSWR system is provided. The experimental results involved in the complex long‐term ionosphere observation are discussed. Special attention is paid to the correlation between the signal degradation sources and eliminating clutter techniques ...
Xiaowei Ji +3 more
wiley +1 more source
Priors in Bayesian Deep Learning: A Review
International Statistical Review, Volume 90, Issue 3, Page 563-591, December 2022., 2022 Summary While the choice of prior is one of the most critical parts of the Bayesian inference workflow, recent Bayesian deep learning models have often fallen back on vague priors, such as standard Gaussians. In this review, we highlight the importance of prior choices for Bayesian deep learning and present an overview of different priors that have ...
Vincent Fortuin
wiley +1 more source
Robust medical zero‐watermarking algorithm based on Residual‐DenseNet
IET Biometrics, Volume 11, Issue 6, Page 547-556, November 2022., 2022 Abstract To solve the problem of poor robustness of existing traditional DCT‐based medical image watermarking algorithms under geometric attacks, a novel deep learning‐based robust zero‐watermarking algorithm for medical images is proposed. A Residual‐DenseNet is designed, which took low‐frequency features after discrete cosine transformation of ...
Cheng Gong +5 more
wiley +1 more source
Statistical quality control using image intelligence: A sparse learning approach
Naval Research Logistics (NRL), Volume 69, Issue 7, Page 996-1008, October 2022., 2022 Abstract Advances in image acquisition technology have made it convenient and economic to collect large amounts of image data. In manufacturing and service industries, images are increasingly used for quality control purposes because of their ability to quickly provide information about product geometry, surface defects, and nonconforming patterns.
Yicheng Kang
wiley +1 more source
A review on short‐term load forecasting models for micro‐grid application
The Journal of Engineering, Volume 2022, Issue 7, Page 665-689, July 2022., 2022 Abstract Load forecasting (LF), particularly short‐term load forecasting (STLF), plays a vital role throughout the operation of the conventional power system. The precise modelling and complex analyses of STLF have become more significant in advanced microgrid (MG) applications.
V. Y. Kondaiah +3 more
wiley +1 more source
Robust multimodal fusion network employing novel Empirical Riglit Wavelet Transform for brain images
Measurement: Sensors, 2022 Machine learning is useful for pattern recognition, if allowed access to patient data, it can notice patterns that would be missed by human doctors, which could be used to predict if a person is at risk for a disease that would not have been anticipated ...
Anupama Jamwal, Shruti Jain
doaj +1 more source
Pixel‐Boundary‐Dependent Segmentation Method for Early Detection of Diabetic Retinopathy
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Early and precise detection of diabetic retinopathy prevents vision impairments through computer‐aided clinical procedures. Identifying the symptoms and processing those by using sophisticated clinical procedures reduces hemorrhage kind of risks.
S. G. Sandhya +3 more
wiley +1 more source
Pansharpening with the Multidirection Tree Ridgelet Dictionary
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 In this work, we propose a novel pansharpening method based on the multidirection tree ridgelet dictionary. A pansharpened image has a wide‐ranging application area, such as object detection, image segmentation, feature extraction, and so on. Remote sensing (RS) imagery contains more abundant information on surface features.
Hong Li +4 more
wiley +1 more source
[Retracted] Artificial Neural Network in Classification of Multisource Remote Sensing Images
International Transactions on Electrical Energy Systems, Volume 2022, Issue 1, 2022., 2022 How to solve multi‐category image recognition and meet a certain accuracy is a key issue in the research of high‐resolution remote sensing images, and it is of great significance. This article mainly studies artificial neural network in the classification of multi‐source remote sensing images.
Li Feng +5 more
wiley +1 more source