Energy-Efficient Hardware Implementation of Fully Connected Artificial Neural Networks Using Approximate Arithmetic Blocks [0.03%]
基于近似计算模块的全连接人工神经网络高效硬件实现
Mohammadreza Esmali Nojehdeh,Mustafa Altun
Mohammadreza Esmali Nojehdeh
In this paper, we explore efficient hardware implementation of feedforward artificial neural networks (ANNs) using approximate adders and multipliers. Due to a large area requirement in a parallel architecture, the ANNs are implemented unde...
Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection [0.03%]
结合损失函数的高效注意分支网络自动说话人验证spoof检测
Amir Mohammad Rostami,Mohammad Mehdi Homayounpour,Ahmad Nickabadi
Amir Mohammad Rostami
Many endeavors have sought to develop countermeasure techniques as enhancements on Automatic Speaker Verification (ASV) systems, in order to make them more robust against spoof attacks. As evidenced by the latest ASVspoof 2019 countermeasur...
Ismail Alkhouri,George Atia,Wasfy Mikhael
Ismail Alkhouri
Minimally perturbed adversarial examples were shown to drastically reduce the performance of one-stage classifiers while being imperceptible. This paper investigates the susceptibility of hierarchical classifiers, which use fine and coarse ...
Detection of Common Cold from Speech Signals using Deep Neural Network [0.03%]
基于深度神经网络的语音信号感冒检测方法研究
Suman Deb,Pankaj Warule,Amrita Nair et al.
Suman Deb et al.
This paper presents a deep learning-based analysis and classification of cold speech observed when a person is diagnosed with the common cold. The common cold is a viral infectious disease that affects the throat and the nose. Since speech ...
Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports [0.03%]
基于深度学习的新冠肺炎心电图检测方法研究
Mahmoud M Bassiouni,Islam Hegazy,Nouhad Rizk et al.
Mahmoud M Bassiouni et al.
One of the pandemics that have caused many deaths is the Coronavirus disease 2019 (COVID-19). It first appeared in late 2019, and many deaths are increasing day by day until now. Therefore, the early diagnosis of COVID-19 has become a salie...
Taranjit Kaur,Tapan Kumar Gandhi
Taranjit Kaur
The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This disease has infected millions of people worldwide. The inadequate avai...
Identification of the ARX Model with Random Impulse Noise Based on Forgetting Factor Multi-error Information Entropy [0.03%]
基于遗忘因子多误差信息熵的随机脉冲噪声下ARX模型辨识
Shaoxue Jing
Shaoxue Jing
Entropy has been widely applied in system identification in the last decade. In this paper, a novel stochastic gradient algorithm based on minimum Shannon entropy is proposed. Though needing less computation than the mean square error algor...
A novel method for estimating the fractional Cole impedance model using single-frequency DC-biased sinusoidal excitation [0.03%]
一种基于单频直流偏置正弦激励的分数阶Cole模型参数辨识新方法
Fu Zhang,Zhaosheng Teng,Yuxiang Yang et al.
Fu Zhang et al.
Objective: The Cole model is a widely used fractional circuit model in electrical bioimpedance applications for evaluating the content and status of biological tissues and fluids. Existing methods for estimating the Cole ...
Sayyouri, Mhamed; Hmimid, Abdeslam; Qjidaa et al.
Sayyouri et al.
Hefa Zhang; Liping Li; Wanchun Li
Hefa Zhang; Liping Li; Wanchun Li