Accumulated bispectral image-based respiratory sound signal classification using deep learning [0.03%]
基于深度学习的累积双谱图呼吸音信号分类方法
Sandeep B Sangle,Chandrakant J Gaikwad
Sandeep B Sangle
The COVID-19 virus is increasingly crucial to human health since new variants appear frequently. Detection of COVID-19 through respiratory sound has been an important area of research. This study analyzes respiratory sounds using novel accu...
Control learning rate for autism facial detection via deep transfer learning [0.03%]
基于深度迁移学习的自闭症面部检测中的学习率控制方法研究
Abdelkrim El Mouatasim,Mohamed Ikermane
Abdelkrim El Mouatasim
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects social interaction and communication. Early detection of ASD can significantly improve outcomes for individuals with the disorder, and there has been incre...
Akhil Kumar,Manisha Kaushal,Akashdeep Sharma
Akhil Kumar
The past years of COVID-19 have attracted researchers to carry out benchmark work in face mask detection. However, the existing work does not focus on the problem of reconstructing the face area behind the mask and completing the face that ...
N-Net: an UNet architecture with dual encoder for medical image segmentation [0.03%]
基于双编码器的UNet医学图像分割网络:N-Net
Bingtao Liang,Chen Tang,Wei Zhang et al.
Bingtao Liang et al.
In order to assist physicians in diagnosis and treatment planning, accurate and automatic methods of organ segmentation are needed in clinical practice. UNet and its improved models, such as UNet + + and UNt3 + , have been powerful tools fo...
A novel and accurate deep learning-based Covid-19 diagnostic model for heart patients [0.03%]
一种新颖且精确的基于深度学习的COVID-19心脏病患者诊断模型
Ahmed Hassan,Mohamed Elhoseny,Mohammed Kayed
Ahmed Hassan
Using radiographic changes of COVID-19 in the medical images, artificial intelligence techniques such as deep learning are used to extract some graphical features of COVID-19 and present a Covid-19 diagnostic tool. Differently from previous...
Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient [0.03%]
基于MFMC的语音信号新冠检测的机器学习方法研究
Sudhansu Sekhar Nayak,Anand D Darji,Prashant K Shah
Sudhansu Sekhar Nayak
The Covid-19 pandemic is one of the most significant global health concerns that have emerged in this decade. Intelligent healthcare technology and techniques based on speech signal and artificial intelligence make it feasible to provide a ...
Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM [0.03%]
基于注意力的ResNet-BiLSTM非侵入式语音质量评估模型
Kailai Shen,Diqun Yan,Zhe Ye et al.
Kailai Shen et al.
Speech quality is frequently affected by a variety factors in online conferencing applications, such as background noise, reverberation, packet loss and network jitter. In real scenarios, it is impossible to obtain a clean reference signal ...
A hand rubbing classification model based on image sequence enhanced by feature-based confidence metric [0.03%]
基于特征置信度测度增强图像序列的手部动作分类模型
Mohammad Amin Haghpanah,Mehdi Tale Masouleh,Ahmad Kalhor et al.
Mohammad Amin Haghpanah et al.
Hand hygiene is critical for declining the spread of viruses and diseases. Over recent years, it has been globally known as one of the most effective ways against COVID-19 outbreak. The World Health Organization (WHO) has suggested a 12-ste...
RNN-combined graph convolutional network with multi-feature fusion for tuberculosis cavity segmentation [0.03%]
用于结核病空洞分割的多特征融合RNN-结合图卷积网络
Zhitao Xiao,Xiaomeng Zhang,Yanbei Liu et al.
Zhitao Xiao et al.
Tuberculosis is a common infectious disease in the world. Tuberculosis cavities are common and an important imaging signs in tuberculosis. Accurate segmentation of tuberculosis cavities has practical significance for indicating the activity...
Significance of voiced and unvoiced speech segments for the detection of common cold [0.03%]
浊音和清音发音段在普通感冒检测中的意义
Pankaj Warule,Siba Prasad Mishra,Suman Deb
Pankaj Warule
This work investigates the significance of the voiced and unvoiced region for detecting common cold from the speech signal. In literature, the entire speech signal is processed to detect the common cold and other diseases. This study uses a...