16 citations · 73 across the 24 of their papers we have counts for
25 papers
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
Hongyi Pan, Xin Zhu, Salih Atici +1
In this paper, we propose a novel Hadamard Transform (HT)-based neural network layer for hybrid quantum-classical computing. It implements the regular convolutional layers in the H…
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
Hongyi Pan, Emadeldeen Hamdan, Xin Zhu +2
In this paper, we propose a set of transform-based neural network layers as an alternative to the Conv2D layers in Convolutional Neural Networks (CNNs). The proposed lay…
Input Normalized Stochastic Gradient Descent Training of Deep Neural Networks
Salih Atici, Hongyi Pan, Ahmet Enis Cetin
In this paper, we propose a novel optimization algorithm for training machine learning models called Input Normalized Stochastic Gradient Descent (INSGD), inspired by the Normalize…
DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer
Hongyi Pan, Xin Zhu, Salih Atici +1
In this paper, we propose a novel Discrete Cosine Transform (DCT)-based neural network layer which we call DCT-perceptron to replace the Conv2D layers in the Residual ne…
Classification of the Cervical Vertebrae Maturation (CVM) stages Using the Tripod Network
Salih Atici, Hongyi Pan, Mohammed H. Elnagar +4
We present a novel deep learning method for fully automated detection and classification of the Cervical Vertebrae Maturation (CVM) stages. The deep convolutional neural network co…
Real-time Wireless ECG-derived Respiration Rate Estimation Using an Autoencoder with a DCT Layer
Hongyi Pan, Xin Zhu, Zhilu Ye +2
In this paper, we present a wireless ECG-derived Respiration Rate (RR) estimation using an autoencoder with a DCT Layer. The wireless wearable system records the ECG data of the su…