Results 21 to 30 of about 360 (169)
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
Multivariable passive method for detection of islanding events in renewable energy based power grids
IET Renewable Power Generation, Volume 16, Issue 3, Page 497-516, 24 February 2022., 2022 Abstract Penetration of distributed generation resources (DGR) in power grid is rapidly increasing to meet future energy demand efficiently. It helps in mitigating the problems of high carbon emission, green house effect, and increased cost of oil and natural gases.
Nagendra Kumar Swarnkar +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
Spherical ridgelets C++ package
, 2021 C++ package to compute spherical ...
Oleg Michailovich +2 more
core +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
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
Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022 With the rapid spread of network information, the information maintenance has become the focus of information security on networks. Digital watermarking is one of the effective methods to protect information security, achieve anticounterfeiting traceability, and protect copyright, and it is an important branch of information hiding technology. However,
Ling Zhou +5 more
wiley +1 more source
Clifford‐Valued Shearlet Transforms on Cl(P,Q)‐Algebras
Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022 The shearlet transform is a promising and powerful time‐frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford‐valued shearlet transform on Cl(p,q) algebras which is designed to represent Clifford‐valued signals at different scales, locations, and orientations. We investigated
Firdous A. Shah +3 more
wiley +1 more source
Scientific Programming, Volume 2022, Issue 1, 2022., 2022 Nowadays, the verification of handwritten signatures has become an effective research field in computer vision as well as machine learning. Signature verification is naturally formulated as a machine‐learning task. This task is performed by determining if the signature is genuine or forged.
Zainab Hashim +3 more
wiley +1 more source