Results 21 to 30 of about 179 (115)

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, Gaining Han, Zongsheng Wu, Xiaoxue Song, Wen-Tsao Pan   +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, Weiling Liao, Jiawei Pang, Ronghao Hu, Lei Feng, Raghavan Dhanasekaran   +5 more
wiley   +1 more source

Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation

CoRR, 2023
A significant challenge in the field of quantum machine learning (QML) is to establish applications of quantum computation to accelerate common tasks in machine learning such as those for neural networks. Ridgelet transform has been a fundamental mathematical tool in the theoretical studies of neural networks, but the practical applicability of ...
Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda   +3 more
openaire   +4 more sources

[Retracted] Application of High‐Resolution Face Recognition and EDF Image Reconstruction in English Classroom Teaching

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, Wenjuan Zhang, Muhammad Arif   +2 more
wiley   +1 more source

A Comparative Study among Handwritten Signature Verification Methods Using Machine Learning Techniques

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, Hanaa M. Ahmed, Ahmed Hussein Alkhayyat, Punit Gupta   +3 more
wiley   +1 more source

The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks

J. Mach. Learn. Res., 2020
Bayesian neural networks attempt to combine the strong predictive performance of neural networks with formal quantification of uncertainty associated with the predictive output in the Bayesian framework. However, it remains unclear how to endow the parameters of the network with a prior distribution that is meaningful when lifted into the output space ...
Matsubara T, Oates CJ, Briol F-X
openaire   +5 more sources

A novel hybrid downsampling and optimized random forest approach for islanding detection and non‐islanding power quality events classification in distributed generation integrated system

IET Renewable Power Generation, Volume 15, Issue 8, Page 1662-1677, 8 June 2021., 2021
Abstract The quality of power in modern‐day power system is polluted with increased penetration of converter‐based distributed generations such as wind farm, solar PV system. In such scenarios detection of islanding and power quality disturbances as well as the removal of these from the system is quite crucial for equipment and maintenance personnel ...
Sairam Mishra, Ranjan Kumar Mallick, Debadatta Amaresh Gadanayak, Pravati Nayak   +3 more
wiley   +1 more source

Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic

Complexity, Volume 2021, Issue 1, 2021., 2021
During the phase of periodic asphalt pavement survey, patched and unpatched potholes need to be accurately detected. This study proposes and verifies a computer vision‐based approach for automatically distinguishing patched and unpatched potholes. Using two‐dimensional images, patched and unpatched potholes may have similar shapes.
Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran, Gonzalo Farias   +3 more
wiley   +1 more source

Research on PSO‐ARMA‐SVR Short‐Term Electricity Consumption Forecast Based on the Particle Swarm Algorithm

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
Aimed at the problem of order determination of short‐term power consumption in a time series model, a new method was proposed to determine the order p and the moving average q of the ARMA model by particle swarm optimization (PSO).According to the difference between the predicted value and the real value of the ARMA model, the fitness function of the ...
Wenbo Zhu, Hao Ma, Gaoyan Cai, Jianwen Chen, Xiucai Wang, Aiyuan Li, Xin Liu   +6 more
wiley   +1 more source

A New Robust Adaptive Fusion Method for Double‐Modality Medical Image PET/CT

BioMed Research International, Volume 2021, Issue 1, 2021., 2021
A new robust adaptive fusion method for double‐modality medical image PET/CT is proposed according to the Piella framework. The algorithm consists of the following three steps. Firstly, the registered PET and CT images are decomposed using the nonsubsampled contourlet transform (NSCT).
Tao Zhou, Huiling Lu, Fuyuan Hu, Hongbin Shi, Shi Qiu, Huiqun Wang, Andrea Scribante   +6 more
wiley   +1 more source