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...
Online attendance system based on facial recognition with face mask detection [0.03%]
基于口罩人脸识别的在线考勤系统
Muhammad Haikal Mohd Kamil,Norliza Zaini,Lucyantie Mazalan et al.
Muhammad Haikal Mohd Kamil et al.
This paper presents an online system for recording attendance based on facial recognition incorporating facial mask detection. The main objective of this project is to develop an effective attendance system based on face recognition and fac...
Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer [0.03%]
基于批次训练技术的混合损失残差神经网络在肺癌EGFR突变状态识别中的应用研究
Liye Jia,Wei Wu,Guojie Hou et al.
Liye Jia et al.
Epidermal growth factor receptor (EGFR) is the key to targeted therapy with tyrosine kinase inhibitors in lung cancer. Traditional identification of EGFR mutation status requires biopsy and sequence testing, which may not be suitable for ce...
Einstein exponential operation laws of spherical fuzzy sets and aggregation operators in decision making [0.03%]
基于指数运算律的球形模糊集排序及在决策中的应用
D Ajay,Ganeshsree Selvachandran,J Aldring et al.
D Ajay et al.
The spherical fuzzy set (SFS) model is one of the newly developed extensions of fuzzy sets (FS) for the purpose of dealing with uncertainty or vagueness in decision making. The aim of this paper is to define new exponential and Einstein exp...
Identification of traffic signs for advanced driving assistance systems in smart cities using deep learning [0.03%]
基于深度学习的面向智慧城市的先进驾驶辅助系统交通标志识别方法研究
Kshitij Dhawan,Srinivasa Perumal R,Nadesh R K
Kshitij Dhawan
The ability of Advanced Driving Assistance Systems (ADAS) is to identify and understand all objects around the vehicle under varying driving conditions and environmental factors is critical. Today's vehicles are equipped with advanced drivi...