Results 11 to 20 of about 256 (167)

Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection [PDF]

Diagnostics, 2023
Every year, cervical cancer is a leading cause of mortality in women all over the world. This cancer can be cured if it is detected early and patients are treated promptly.
Saravanan Srinivasan, Aravind Britto Karuppanan Raju, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Jyothi Chinna Babu, Aditya Kumar Sahu   +5 more
doaj   +2 more sources

Compressed Adaptive-Sampling-Rate Image Sensing Based on Overcomplete Dictionary [PDF]

Entropy
In this paper, a compressed adaptive image-sensing method based on an overcomplete ridgelet dictionary is proposed. Some low-complexity operations are designed to distinguish between smooth blocks and texture blocks in the compressed domain, and adaptive
Jianming Wang, Dingpeng Li, Qingqing Yang, Yi Peng   +3 more
doaj   +2 more sources

Multivariable passive method for detection of islanding events in renewable energy based power grids

IET Renewable Power Generation, 2022
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 ...
Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Mahendra Lalwani   +3 more
doaj   +2 more sources

Image denoising method integrating ridgelet transform and improved wavelet threshold. [PDF]

PLoS ONE
In the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
doaj   +2 more sources

Using a dynamic arithmetic optimization approach to improve ridgelet neural network performance in remote sensing scene classification [PDF]

Scientific Reports
This research proposes an innovative methodology for acurate remore sensing scene classification. Here, a new design of dynamic arithmetic optimization algorithm (DAOA) has been proposed to enhance the performance of a Ridgelet neural network (RNN) in ...
Hui Zhang, Jun Chen, Hui Xie, Kambiz Bagi   +3 more
doaj   +2 more sources

Hybrid Radiomics and Machine Learning for Brain Tumors Multi‐Task Classification: An Exploratory Study on Integrating GLCM and Curvelet‐Based Features for Enhanced Accuracy [PDF]

Health Science Reports, Volume 8, Issue 8, August 2025.
ABSTRACT Background and Aims Accurate classification of brain tumors is vital for effective treatment planning. Manual assessment of magnetic resonance imaging (MRI) scans is often subjective and time‐consuming. This exploratory study proposes a machine learning approach integrating radiomic features from contrast‐enhanced T1‐weighted MRI scans to ...
Mostafa Jafari, Masoumeh Rahmani, Sanaz Alibabaei, Jafar Fatahiasl, Sasan Razmjoo, Mohammad Javad Tahmasebi Birgani, Marziyeh Tahmasbi   +6 more
wiley   +2 more sources

Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization [PDF]

Scientific Reports
Concrete frameworks require strong structural integrity to ensure their durability and performance. However, they are disposed to develop cracks, which can compromise their overall quality.
Yongqing Lin, Mehdi Ahmadi, Khalid A. Alnowibet, Fawzy A. Bukhari   +3 more
doaj   +2 more sources

Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm [PDF]

Heliyon
This paper proposes a new method for short-term electric load forecasting using a Ridgelet Neural Network (RNN) combined with a wavelet transform and optimized by a Self-Adapted (SA) Kho-Kho algorithm (SAKhoKho).
Yaoying Wang, Shudong Sun, Gholamreza Fathi, Mahdiyeh Eslami   +3 more
doaj   +2 more sources

Overview of ionosphere clutter suppression for high frequency surface wave radar (HFSWR) system: Observation, approaches, challenges and open issue

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, Xiaochuan Wu, Qiang Yang, Xin Zhang   +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