Results 21 to 30 of about 256 (167)
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
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
Wavelets, ridgelets and curvelets on the sphere [PDF]
Astronomy & Astrophysics, 2006 Accepted for publication in A&A.
Nguyen, Mai K. +3 more
openaire +3 more sources
[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
Journal of Cloud Computing: Advances, Systems and Applications, 2022 With the help of big data, cloud computing, artificial intelligence and other technologies, the informatization and intelligence of the wisdom medical have been gradually realized.
Zilong Liu +4 more
doaj +1 more source
Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022 This study examines classroom monitoring in order to increase the effectiveness of English classroom instruction. This article uses high‐resolution algorithms and EDF image reconstruction technology in the English classroom education system to improve the high resolution of students’ faces.
Shaofang He +2 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