COVID-19 Detection using adopted convolutional neural networks and high-performance computing [0.03%]
基于高性能计算的采用型卷积神经网络新冠肺炎检测技术
Anil Kumar Singh,Ankit Kumar,Vinay Kumar et al.
Anil Kumar Singh et al.
The COVID 19 pandemic is highly contagious disease is wreaking havoc on people's health and well-being around the world. Radiological imaging with chest radiography is one among the key screening procedure. This disease contaminates the res...
Medical supply chain integrated with blockchain and IoT to track the logistics of medical products [0.03%]
基于区块链和物联网的医疗供应链以追踪医疗产品物流
Saroj Kumar Nanda,Sandeep Kumar Panda,Madhabananda Dash
Saroj Kumar Nanda
Nowadays blockchain technology plays a vital role in creative developments and important discoveries in the world. Blockchain develops secure and trustworthy platforms for data sharing in various application areas such as secure sharing of ...
Revisiting predictions of movie economic success: random Forest applied to profits [0.03%]
利用随机森林算法预测电影经济成功性分析及盈利模型构建
Thaís Luiza Donega E Souza,Marislei Nishijima,Ricardo Pires
Thaís Luiza Donega E Souza
Previous studies have employed machine learning tools to classify films according to success to guide a reduction in the degree of uncertainty of film production. We revisited the literature to contribute to three relevant issues in classif...
Solihah Gull,Shabir A Parah
Solihah Gull
Watermarking has been considered to be a potent and persuasive gizmo for its application in healthcare setups that work online, especially in the current COVID-19 scenario. The security and protection of medical image data from various mani...
Improving the segmentation of digital images by using a modified Otsu's between-class variance [0.03%]
改进OTSU阈值分割法的一种新方法
Simrandeep Singh,Nitin Mittal,Harbinder Singh et al.
Simrandeep Singh et al.
Image segmentation is a critical stage in the analysis and pre-processing of images. It comprises dividing the pixels according to threshold values into several segments depending on their intensity levels. Selecting the best threshold valu...
Renju Aleyamma Zachariah,Sahil Sharma,Vijay Kumar
Renju Aleyamma Zachariah
Forecasting aviation demand is a significant challenge in the airline industry. The design of commercial aviation networks heavily relies on reliable travel demand predictions. It enables the aviation industry to plan ahead of time, evaluat...
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features [0.03%]
基于预训练网络和特征集合的肺结节CT图像自动分类方法研究
Thiago Lima,Daniel Luz,Antonio Oseas et al.
Thiago Lima et al.
Lung cancer has the highest incidence in the world. The standard tests for its diagnostics are medical imaging exams, sputum cytology, and lung biopsy. Computed Tomography (CT) of the chest plays an essential role in the early detection of ...
Gender impact on STEM online learning- a correlational study of gender, personality traits and learning styles in relation to different online teaching modalities [0.03%]
性别对STEM在线学习的影响——一项关于性别、人格特征和学习风格与不同在线教学模式之间关系的相关性研究
Ermira Idrizi,Sonja Filiposka,Vladimir Trajkovikj
Ermira Idrizi
STEM (science, technology, engineering and mathematics) education benefits both individuals and society. It supports individuals by increasing their critical-thinking skills, encouraging creativity, as well as providing a basis for new inve...
Smart healthcare system using integrated and lightweight ECC with private blockchain for multimedia medical data processing [0.03%]
基于集成且轻量级的ECC与私有区块链的多媒体医疗数据处理智能医疗系统
Hemant B Mahajan,Aparna A Junnarkar
Hemant B Mahajan
Cloud-based Healthcare 4.0 systems have research challenges with secure medical data processing, especially biomedical image processing with privacy protection. Medical records are generally text/numerical or multimedia. Multimedia data inc...
Fully convolutional network for automated detection and diagnosis of mammographic masses [0.03%]
基于全卷积网络的乳腺X线片肿块自动检测与诊断方法
Sujata Kulkarni,Rinku Rabidas
Sujata Kulkarni
Breast cancer, though rare in male, is very frequent in female and has high mortality rate which can be reduced if detected and diagnosed at the early stage. Thus, in this paper, deep learning architecture based on U-Net is proposed for the...