Gurdeep Singh Hura,Sven Groppe,Sarika Jain et al.
Gurdeep Singh Hura et al.
Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images [0.03%]
基于变分自编码器的不平衡COVID-19胸部X射线图像检测
Sankhadeep Chatterjee,Soumyajit Maity,Mayukh Bhattacharjee et al.
Sankhadeep Chatterjee et al.
Early and fast detection of disease is essential for the fight against COVID-19 pandemic. Researchers have focused on developing robust and cost-effective detection methods using Deep learning based chest X-Ray image processing. However, su...
Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images [0.03%]
基于云结合推理系统的CT和X光图像中的COVID-19分类
Ankit Kumar Dubey,Krishna Kumar Mohbey
Ankit Kumar Dubey
In the past few years, most of the work has been done around the classification of covid-19 using different images like CT-scan, X-ray, and ultrasound. But none of that is capable enough to deal with each of these image types on a single co...
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data [0.03%]
基于网格搜索和交叉验证的深度学习模型用于社交媒体自杀倾向分类与预测研究
Akshma Chadha,Baijnath Kaushik
Akshma Chadha
Suicide deaths due to depression and mental stress are growing rapidly at an alarming rate. People freely express their feelings and emotions on social network sites while they feel hesitant to express such feelings during face-to-face inte...
Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model [0.03%]
一种改进的集成学习方法及其在多病种预测模型中的应用研究
A S Prakaash,K Sivakumar,B Surendiran et al.
A S Prakaash et al.
In this computer world, huge data are generated in several fields. Statistics in the healthcare engineering provides data about many diseases and corresponding patient's information. These data help to evaluate a huge amount of data for ide...
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis [0.03%]
基于知识增强注意力的混合变压器模型进行社会情感分析
Dimple Tiwari,Bharti Nagpal
Dimple Tiwari
Social media materialized as an influential platform that allows people to share their views on global and local issues. Sentiment analysis can handle these massive amounts of unstructured reviews and convert them into meaningful opinions. ...
Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models [0.03%]
使用非齐次泊松过程模型预测各国COVID19的可靠性
Nevin Guler Dincer,Serdar Demir,Muhammet Oğuzhan Yalçin
Nevin Guler Dincer
Reliability is the probability that a system or a product fulfills its intended function without failure over a period of time and it is generally used to determine the reliability, release and testing stop time of the system. The primary o...
Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models [0.03%]
基于医疗事物的COVID-19检测：融合模糊集成和迁移学习模型的CT图像融合方法
Chandrakanta Mahanty,Raghvendra Kumar,S Gopal Krishna Patro
Chandrakanta Mahanty
One of the most difficult research areas in today's healthcare industry to combat the coronavirus pandemic is accurate COVID-19 detection. Because of its low infection miss rate and high sensitivity, chest computed tomography (CT) imaging h...
An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques [0.03%]
基于信息融合和软计算技术的智能医疗 cyber physical 帧框架在脑炎诊断中的应用
Aditya Gupta,Amritpal Singh
Aditya Gupta
Viral encephalitis is a contagious disease that causes life insecurity and is considered one of the major health concerns worldwide. It causes inflammation of the brain and, if left untreated, can have persistent effects on the central nerv...
Shared Mobility Intelligence Using Permissioned Blockchains for Smart Cities [0.03%]
基于许可区块链的共享出行智能技术及其在智慧城市中的应用研究
Shajulin Benedict
Shajulin Benedict
Suggesting tourists/residents about the pollution-free locations and controlling the number of passengers in a shareable vehicle have become crucial tasks to smart city officials as they plummet health issues such as asthma or COVID-19. Rec...