Deep learning based search engine for biomedical images using convolutional neural networks [0.03%]
基于深度学习的医学图像搜索引擎：利用卷积神经网络技术
Richa Mishra,Surya Prakash Tripathi
Richa Mishra
The development of efficient search engine queries for biomedical images, especially in case of query-mismatch is still defined as an ill-posed problem. Vector-space model is found to be useful for handling the query-mismatch issue. However...
PSO-Blockchain-based image steganography: towards a new method to secure updating and sharing COVID-19 data in decentralised hospitals intelligence architecture [0.03%]
基于PSO-区块链的图像信息隐藏技术：面向新冠肺炎疫情期间分散式医院智能架构的安全更新与共享新方法
A H Mohsin,A A Zaidan,B B Zaidan et al.
A H Mohsin et al.
Secure updating and sharing for large amounts of healthcare information (such as medical data on coronavirus disease 2019 [COVID-19]) in efficient and secure transmission are important but challenging in communication channels amongst hospi...
Defining a no-reference image quality assessment by means of the self-affine analysis [0.03%]
基于自仿射分析的无参考图像质量客观评价方法研究
Jesús Jaime Moreno Escobar,Oswaldo Morales Matamoros,Ixchel Lina Reyes et al.
Jesús Jaime Moreno Escobar et al.
In this paper we propose a novel Blind Image Quality Assessment via Self-Affine Analysis (BIQSAA) method by considering the wavelet transform as a linear operation that decomposes a complex signal into elementary blocks at different scales ...
An efficient framework using visual recognition for IoT based smart city surveillance [0.03%]
一种基于视觉识别的智能城市物联网高效监测框架
Manish Kumar,Kota Solomon Raju,Dinesh Kumar et al.
Manish Kumar et al.
Smart city surveillance systems are the battery operated light weight Internet of Things (IoT) devices. In such devices, automatic face recognition requires a low powered memory efficient visual computing system. For these real time applica...
FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques: FSDroid [0.03%]
基于机器学习的安卓恶意软件检测特征选择技术FSDroid
Arvind Mahindru,A L Sangal
Arvind Mahindru
With the recognition of free apps, Android has become the most widely used smartphone operating system these days and it naturally invited cyber-criminals to build malware-infected apps that can steal vital information from these devices. T...
CUPSEED - A combined use of prediction syntax elements to embed data in SHVC video [0.03%]
结合使用预测语法元素在SHVC视频中嵌入数据的方法
LieLin Pang,Yiqi Tew,KokSheik Wong et al.
LieLin Pang et al.
With the rapid advancement in digital technologies, video rises to become one of the most effective communication tools that continues to gain popularity and importance. As a result, various proposals are put forward to manage videos, and o...
Multilevel thresholding image segmentation based on improved volleyball premier league algorithm using whale optimization algorithm [0.03%]
基于鲸鱼优化算法改进排球联赛算法的多阈值图像分割方法研究
Mohamed Abd Elaziz,Neggaz Nabil,Reza Moghdani et al.
Mohamed Abd Elaziz et al.
Multilevel thresholding image segmentation has received considerable attention in several image processing applications. However, the process of determining the optimal threshold values (as the preprocessing step) is time-consuming when tra...
Discipline vs guidance: comparison of visual engagement approaches in immersive virtual environments [0.03%]
沉浸式虚拟环境中的视觉参与方法比较：纪律与指导的区别
Hyeopwoo Lee,Jinki Jung,Heung-Kyu Lee et al.
Hyeopwoo Lee et al.
Immersive virtual environments (IVEs) have been extensively investigated for applications in education and man-power training because of the benefits of immersion-driven experiences as immersion becomes a factor that can both accelerate and...
Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms [0.03%]
基于机器学习分类算法利用14种临床特征预测COVID-19感染
Ibrahim Arpaci,Shigao Huang,Mostafa Al-Emran et al.
Ibrahim Arpaci et al.
While the RT-PCR is the silver bullet test for confirming the COVID-19 infection, it is limited by the lack of reagents, time-consuming, and the need for specialized labs. As an alternative, most of the prior studies have focused on Chest C...
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach [0.03%]
基于BERT的深度学习方法在社交媒体中的假新闻检测模型
Rohit Kumar Kaliyar,Anurag Goswami,Pratik Narang
Rohit Kumar Kaliyar
In the modern era of computing, the news ecosystem has transformed from old traditional print media to social media outlets. Social media platforms allow us to consume news much faster, with less restricted editing results in the spread of ...