Novel DLSNNC and SBS based framework for improving QoS in healthcare-IoT applications [0.03%]
一种新的DLSNNC和SBS框架以改善医疗物联网应用中的QoS
Jyotsna,Parma Nand
Jyotsna
Health care system is intended to enhance one's health and as a result, one's quality of life. In order to fulfil its social commitment, health care must focus on producing social profit to sustain itself. Also, due to ever increasing deman...
Time series forecasting for uni- variant data using hybrid GA-OLSTM model and performance evaluations [0.03%]
基于混合GA-OLSTM模型的单变量时间序列预测及性能评估
Nisha Thakur,Sanjeev Karmakar,Sunita Soni
Nisha Thakur
Time series forecasting of uni-variant rainfall data is done using a hybrid genetic algorithm integrated with optimized long-short term memory (GA-OLSTM) model. The parameters included for the valuation of the efficiency of the considered m...
Correction To: Editorial [0.03%]
纠错：编辑部致辞
M N Hoda
M N Hoda
[This corrects the article DOI: 10.1007/s41870-020-00504-x.]. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2020.
Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia [0.03%]
马来西亚使用Google趋势搜索Covid-19的搜寻趋势：一项信息流行病学研究
Tengku Adil Tengku Izhar,Torab Torabi
Tengku Adil Tengku Izhar
Since January 2020, the emergence of Covid-19 has sparked a worldwide search for information about Covid-19. People frequently use the internet to search the information on the virus. However, the pandemic have triggered the information-see...
Enhancing the security of E-Health services in Bangladesh using blockchain technology [0.03%]
区块链技术在改善孟加拉国E-Health服务安全性的应用与研究
Chowdhury Akram Hossain,Mohamad Afendee Mohamed,Md Saniat Rahman Zishan et al.
Chowdhury Akram Hossain et al.
The telemedicine service concept was mainly established to benefit the underprivileged people from rural areas of a country. However, due to the low literacy and awareness rates among rural population of Bangladesh, the service is not much ...
Assessing the impact of the density and sparsity of the network on community detection using a Gaussian mixture random partition graph generator [0.03%]
利用高斯混合模型随机分区图生成器评估网络密度和稀疏性对社区检测的影响
Ashani Wickramasinghe,Saman Muthukumarana
Ashani Wickramasinghe
Identification of sub-networks within a network is essential to understand the functionality of a network. This process is called as 'Community detection'. There are various existing community detection algorithms, and the performance of th...
An enforced block diagonal low-rank representation method for the classification of medical image patterns [0.03%]
一种强制的块对角低秩表示方法用于医学图像模式分类
Ishfaq Majeed Sheikh,Manzoor Ahmad Chachoo
Ishfaq Majeed Sheikh
Low-rank representation based methods have been used on a variety of medical imaging databases for the segmentation and classification of biomedical images. The subspace segmentation of the data is performed by generating the block diagonal...
Hybrid PSO-SVM algorithm for Covid-19 screening and quantification [0.03%]
用于Covid-19筛查和量化的一种混合PSO-SVM算法
M Sahaya Sheela,C A Arun
M Sahaya Sheela
Corona Virus Disease (COVID) 19 has shaken the earth at its root and the devastation has increased the diagnostic burden of radiologists by large. At this crucial juncture, Artificial Intelligence (AI) will go a long way in decreasing the w...
A low resource 3D U-Net based deep learning model for medical image analysis [0.03%]
一种基于轻量级3D U-Net的医疗影像分析深度学习模型
Girija Chetty,Mohammad Yamin,Matthew White
Girija Chetty
The success of deep learning, a subfield of Artificial Intelligence technologies in the field of image analysis and computer can be leveraged for building better decision support systems for clinical radiological settings. Detecting and seg...