Results 41 to 50 of about 179 (115)

Hybrid Quantum-Classical Ridgelet Neural Networks for Portfolio Optimization

open access: yes
In this study, we introduce a quantum computing method that incorporates Ridglet transforms into quantum processing pipelines for financial time-series forecasting with Quantum Approximate Optimization Algorithm (QAOA)-based portfolio optimization.
Yadav, Bahadur, Mohanty, Sanjay Kumar
openaire   +2 more sources

A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks

open access: yesJournal of Statistical Planning and Inference
To investigate neural network parameters, it is easier to study the distribution of parameters than to study the parameters in each neuron. The ridgelet transform is a pseudo-inverse operator that maps a given function $f$ to the parameter distribution $γ$ so that a network $\mathtt{NN}[γ]$ reproduces $f$, i.e. $\mathtt{NN}[γ]=f$.
Sho Sonoda   +2 more
openaire   +2 more sources

Blur Classification using Ridgelet Transform and Feed Forward Neural Network [PDF]

open access: yesInternational Journal of Image, Graphics and Signal Processing, 2014
Shamik Tiwari   +3 more
openaire   +1 more source

GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. [PDF]

open access: yesBioengineering (Basel), 2023
Sebastian A   +3 more
europepmc   +1 more source

Deep Convolutional Neural Network with Symbiotic Organism Search-Based Human Activity Recognition for Cognitive Health Assessment. [PDF]

open access: yesBiomimetics (Basel), 2023
Alonazi M   +5 more
europepmc   +1 more source

A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features. [PDF]

open access: yesSci Rep
Kumar PR   +9 more
europepmc   +1 more source

Multimodal hybrid convolutional neural network based brain tumor grade classification. [PDF]

open access: yesBMC Bioinformatics, 2023
Rohini A   +7 more
europepmc   +1 more source

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