Results 31 to 40 of about 179 (115)

Small‐Scale Void‐Size Determination in Reinforced Concrete Using GPR

Advances in Civil Engineering, Volume 2020, Issue 1, 2020., 2020
The detection and evaluation of void in concrete are imperative issues in health monitoring of civil engineering. However, the void is difficult to be detected at its early stage of formation on account of its small scale and concealment. Although, in view of the remarkable performance such as precision and continuity, ground penetrating radar (GPR) is
Yong Yang, Junwei Lu, Rongzhe Li, Weigang Zhao, Deli Yan, Liborio Cavaleri   +5 more
wiley   +1 more source

Fault Diagnosis of Nonlinear Analog Circuit Based on Generalized Frequency Response Function and LSSVM Classifier Fusion

Mathematical Problems in Engineering, Volume 2020, Issue 1, 2020., 2020
For fault diagnosis of nonlinear analog circuit, a novel method based on generalized frequency response function (GFRF) and least square support vector machine (LSSVM) classifier fusion is presented. The sinusoidal signal is used as the input of analog circuit, and then, the generalized frequency response functions are estimated directly by the time ...
Jialiang Zhang, Frederic Kratz
wiley   +1 more source

Image Retrieval Using Low Level and Local Features Contents: A Comprehensive Review

Applied Computational Intelligence and Soft Computing, Volume 2020, Issue 1, 2020., 2020
Billions of multimedia data files are getting created and shared on the web, mainly social media websites. The explosive increase in multimedia data, especially images and videos, has created an issue of searching and retrieving the relevant data from the archive collection.
Jaya H. Dewan, Sudeep D. Thepade, Cheng-Jian Lin   +2 more
wiley   +1 more source

A Novel Framework for Financial Cybersecurity and Fraud Detection Using XAI-RNN-SGRU

IEEE Access
Cyber threats involve unauthorized access, alteration, or deletion of private information, extortion, and disruption of business operations. Traditional network security methods need more scalability, data protection, and difficulty detecting advanced ...
Smarajit Ghosh
doaj   +1 more source

The global optimum of shallow neural network is attained by ridgelet transform

, 2018
under ...
Sonoda, Sho, Ishikawa, Isao, Ikeda, Masahiro, Hagihara, Kei, Sawano, Yoshihiro, Matsubara, Takuo, Murata, Noboru   +6 more
openaire   +2 more sources

Hybrid ridgelet deep neural networks for data-driven arbitrage strategies

Proceedings of the Royal Society A Mathematical Physical and Engineering Science
Abstract In this study, we propose an alternative solution to the model framework discussed in Neufeld et al. (Neufeld et al. 2024 SIAM J. Financ. Math.15, 436–472. (doi:10.1137/22M1487928)) by integrating deep neural networks with the ridgelet transform.
Bahadur Yadav, Kumar Sanjay Mohanty
openaire   +2 more sources

Aspects of Importance Sampling in Parameter Selection for Neural Networks Using Ridgelet Transform

Journal of the Physical Society of Japan
The choice of parameters in neural networks is crucial in the performance, and an oracle distribution derived from the ridgelet transform enables us to obtain suitable initial parameters. In other words, the distribution of parameters is connected to the integral representation of target functions.
Hikaru Homma, Jun Ohkubo
openaire   +3 more sources

Temnodontosaurus bromalites from the Lower Jurassic of Germany: hunting, digestive taphonomy and prey preferences in a macropredatory ichthyosaur

Papers in Palaeontology, Volume 11, Issue 3, May/June 2025.
Abstract Fossilized food items found in or passed through the digestive tract of an animal (bromalites) offer a window into the dietary habits and ecological role of the producer taxon. Bromalites have been documented from several small to mid‐sized parvipelvian ichthyosaurian species from the Lower Jurassic, but are seldom documented for the largest ...
Giovanni Serafini, Feiko Miedema, Günter Schweigert, Erin E. Maxwell   +3 more
wiley   +1 more source

Multivariable Algorithm Using Signal-Processing Techniques to Identify Islanding Events in Utility Grid with Renewable Energy Penetration

Energies
This paper designs a multi-variable hybrid islanding-detection method (HIDM) using signal-processing techniques. The signals of current captured on a test system where the renewable energy (RE) penetration level is between 50% and 100% are processed by ...
Ming Li, Anqing Chen, Peixiong Liu, Wenbo Ren, Chenghao Zheng   +4 more
doaj   +1 more source

Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network [PDF]

, 2014
Palmprint recognition has emerged as a substantial biometric based personal identification. Tow types of biometrics palmprint feature. high resolution feature that includes: minutia points, ridges and singular points that could be extracted for forensic applications.
Abukmeil, Mohanad AM, Elaydi, Hatem A., Alhanjouri, Mohammed A.   +2 more
openaire