Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization [PDF]
Scientific ReportsConcrete 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 +3 more
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Using a dynamic arithmetic optimization approach to improve ridgelet neural network performance in remote sensing scene classification [PDF]
Scientific ReportsThis 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 +3 more
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Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform [PDF]
Scientific Reports, 2023 The detection of meningioma tumors is the most crucial task compared with other tumors because of their lower pixel intensity. Modern medical platforms require a fully automated system for meningioma detection.
B. V. Prakash +8 more
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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 +5 more
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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]
HeliyonThis 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 +3 more
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Machines, 2023 To solve the negative-sequence temperature-rise problem of large equipment under asymmetric operating conditions, this paper optimizes the structure of the main components and adopts an improved process neural network to conduct online analysis and ...
Wu Guo, Jian Guo, Fengjuan Miao
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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.
Hayakawa, Satoshi +3 more
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Islanding detection method using ridgelet probabilistic neural network in distributed generation [PDF]
Neurocomputing, 2019 Abstract One of the challenging issues for a grid-connected embedded generation is to find a suitable technique to detect an islanding problem. The technique must be able to differentiate islanding from other grid disturbances and disconnect distributed generation (DG) rapidly to prevent from safety hazards, power quality issues, equipment damage, as
Masoud Ahmadipour +2 more
exaly +2 more sources
Blind Restoration of Motion Blurred Barcode Images using Ridgelet Transform and Radial Basis Function Neural Network [PDF]
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 The aim of any image restoration techniques is recovering the original image from a degraded observation. One of the most common degradation phenomena in images is motion blur.
shamik tiwari
doaj +7 more sources
Energy Reports, 2022 - An effective energy conversion tool is solid oxide fuel cell that converts chemical energy to heat and electricity by oxidant reactions and electrochemical fuel. Efficient modeling of this device can decrease the analyzing and design costs a lot. Thus,
Guihua Yang +5 more
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