Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction [0.03%]
基于深度学习的CT扫描图像病灶分割技术用于新冠肺炎预测
Mouna Afif,Riadh Ayachi,Yahia Said et al.
Mouna Afif et al.
Since 2019, COVID-19 disease caused significant damage and it has become a serious health issue in the worldwide. The number of infected and confirmed cases is increasing day by day. Different hospitals and countries around the world to thi...
EEG seizure detection: concepts, techniques, challenges, and future trends [0.03%]
脑电图癫痫发作检测：概念、技术、挑战与未来趋势
Athar A Ein Shoka,Mohamed M Dessouky,Ayman El-Sayed et al.
Athar A Ein Shoka et al.
A central nervous system disorder is usually referred to as epilepsy. In epilepsy brain activity becomes abnormal, leading to times of abnormal behavior or seizures, and at times loss of awareness. Consequently, epilepsy patients face probl...
Optimal feature selection for COVID-19 detection with CT images enabled by metaheuristic optimization and artificial intelligence [0.03%]
基于元启发式优化和人工智能的CT图像特征选择及新冠肺炎检测
Dattaprasad A Torse,Rajashri Khanai,Krishna Pai et al.
Dattaprasad A Torse et al.
There is a broad range of novel Coronaviruses (CoV) such as the common cold, cough, and severe lung infections. The mutation of this virus, which originally started as COVID-19 in Wuhan, China, has continued the rapid spread globally. As th...
Performance evaluation of machine learning models on large dataset of android applications reviews [0.03%]
基于大型数据集的安卓应用评论文本的情感分析及性能评估研究
Ali Adil Qureshi,Maqsood Ahmad,Saleem Ullah et al.
Ali Adil Qureshi et al.
With an ever-increasing number of mobile users, the development of mobile applications (apps) has become a potential market during the past decade. Billions of users download mobile apps for divergent use from Google Play Store, fulfill tas...
Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis [0.03%]
一种基于改进的词频-逆文档频率的深度混合框架情感分析方法
Ranit Kumar Dey,Asit Kumar Das
Ranit Kumar Dey
Sentiment Analysis is a highly crucial subfield in Natural Language Processing that attempts to extract the public sentiment from the accessible user opinions. This paper proposes a hybridized neural network based sentiment analysis framewo...
LTE-NBP with holistic UWB-WBAN approach for the energy efficient biomedical application [0.03%]
基于整体超宽带的LTE-NBP在生物医学中的节能应用研究
Abhishek Kumar,Pramod Sing Rathore,Ashutosh Kumar Dubey et al.
Abhishek Kumar et al.
Increased use of ultra-wideband (UWB) in biomedical applications based on wireless body area networks (WBAN) opens a variety of options in the field of biomedical research. WBAN may aid in the continuous health monitoring of patients while ...
Jiao Zhang,Baomin Xu,Hongfeng Yin
Jiao Zhang
Depression is a common cause of increased suicides worldwide, and studies have shown that the number of patients suffering from major depressive disorder (MDD) increased several-fold during the COVID-19 pandemic, highlighting the importance...
Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network [0.03%]
基于孪生图卷积神经网络的COVID-19基因组测序与药物发现
Soumen Kumar Pati,Manan Kumar Gupta,Ayan Banerjee et al.
Soumen Kumar Pati et al.
After several waves of COVID-19 led to a massive loss of human life worldwide due to the changes in its variants and the vast explosion. Several researchers proposed neural network-based drug discovery techniques to fight against the pandem...
A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends [0.03%]
区块链在DNA序列中的应用综述：安全性、DNA分类应用、挑战与未来展望
Garima Mathur,Anjana Pandey,Sachin Goyal
Garima Mathur
In biological science, the study of DNA sequences is considered an important factor because it carries the genomic details that can be used by researchers and doctors for the early prediction of disease using DNA classification. The NCBI ha...
Prediction and detection of emotional tone in online social media mental disorder groups using regression and recurrent neural networks [0.03%]
基于回归和循环神经网络的情感社交媒体预测及检测
Sai Dheeraj Kanaparthi,Anjali Patle,K Jairam Naik
Sai Dheeraj Kanaparthi
Online social media networks have become a significant platform for persons with mental illnesses to discuss their struggles and obtain emotional and informational assistance in recent years. One such platform is Reddit, where sub-groups ca...