Results 101 to 110 of about 179 (115)

Compression of Remote Sensing Images Based on Ridgelet and Neural Network

2005
To get a high-ratio compression of remote sensing images, we advanced a new compression method using neural network (NN) and a geometrical multiscale analysis (GMA) tool-ridgelet. Ridgelet is powerful in dealing with linear singularity (or curvilinear singularity with a localized version), so it can represent the edges of images more efficiently.
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao   +2 more
openaire   +2 more sources

A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization

Third International Conference on Natural Computation (ICNC 2007), 2007
An improved particle swarm optimization is used to train ridgelet neural network instead of the traditional gradient algorithms. Firstly, the model of ridgelet neural network and the traditional particle swarm optimization (PSO) algorithm are briefly described.
Rijian Su, Li Kong, Shengli Song, Pu Zhang, Kaibo Zhou, Jingjing Cheng   +5 more
openaire   +2 more sources

Retinal blood vessels detection for diabetic retinopathy with Ridgelet transform and convolution neural network

International Journal of Wavelets, Multiresolution and Information Processing, 2020
Applying machine learning in life sciences, especially diagnostics, has become a key area of focus for researchers. Combining machine learning with traditional algorithms provides a unique opportunity of providing better solutions for the patients. In this paper, we present study results of applying the Ridgelet Transform method on retina images to ...
openaire   +1 more source

Energy demand forecasting using ridgelet neural networks Boosted Beluga whale optimization

Engineering Research Express
Abstract Deep learning has become increasingly popular in energy demand forecasting, due to its ability to efficiently process large amounts of data with improved accuracy. By utilizing a deep learning approach, energy demand forecasting models can capture and learn the complex patterns and relationships that exist within energy ...
Shirui Guo, Hong Ni, Dongsheng Xu, Chun Li, Ziqiang Luo, Wei Tan   +5 more
openaire   +1 more source

Feature Extraction of Hand-Vein Patterns Based on Ridgelet Transform and Local Interconnection Structure Neural Network

2006
In this paper, we propose a multiscale feature extraction method of hand-vein patterns based on ridgelet transform and local interconnection structure neural networks. In order to restrain the noises and emphasize the hand-vein pattern in the image, we perform the multiscale self-adaptive enhancement transform based on the ridgelet transform to the ...
Yu Zhang, Xiao Han, Si-liang Ma
openaire   +1 more source

Review for "Energy Demand Forecasting Using Ridgelet Neural Networks Boosted Beluga Whale Optimization"

  +8 more sources

Frosting weight and refrigerating capacity prediction of fin evaporator based on random finite element method and ridgelet neural network

International Journal of Refrigeration, 2019
Bin Zhao
exaly  

Quantum Classical Ridgelet Neural Network For Time Series Model.

CoRR
Bahadur Yadav, Sanjay Kumar Mohanty
openaire   +1 more source

Modified Back Propagation Neural Network for Facial Expression Classification Using Principal Component Analysis and Ridgelet Transform

Advances in Intelligent Systems and Computing, 2019
Sreenivasa Reddy Edara, Vedantham Ramachandran, Lavanya Settipalli   +2 more
exaly  

A ridgelet neural network with improved transfer learning with a cross-attention transformer model for medical image denoising

Knowledge-Based Systems
Dasari Swetha, Nutakki Jyothi
openaire   +2 more sources