Optimized deep learning vision system for human action recognition from drone images [0.03%]
基于无人机图像的人体动作识别优化深度视觉系统
Hussein Samma,Ali Salem Bin Sama
Hussein Samma
There are several benefits to constructing a lightweight vision system that is implemented directly on limited hardware devices. Most deep learning-based computer vision systems, such as YOLO (You Only Look Once), use computationally expens...
Classification of endoscopic image and video frames using distance metric-based learning with interpolated latent features [0.03%]
基于距离度量的学习利用插值潜在特征对内窥镜图像和视频帧进行分类
Fatemeh Sedighipour Chafjiri,Mohammad Reza Mohebbian,Khan A Wahid et al.
Fatemeh Sedighipour Chafjiri et al.
Conventional Endoscopy (CE) and Wireless Capsule Endoscopy (WCE) are well known tools for diagnosing gastrointestinal (GI) tract related disorders. Defining the anatomical location within the GI tract helps clinicians determine appropriate ...
Facilitating COVID recognition from X-rays with computer vision models and transfer learning [0.03%]
基于计算机视觉模型和迁移学习的COVID肺部X射线影像识别
Aparna S Varde,Divydharshini Karthikeyan,Weitian Wang
Aparna S Varde
Multimedia data plays an important role in medicine and healthcare since EHR (Electronic Health Records) entail complex images and videos for analyzing patient data. In this article, we hypothesize that transfer learning with computer visio...
68 landmarks are efficient for 3D face alignment: what about more?: 3D face alignment method applied to face recognition [0.03%]
68个特征点足够进行三维人脸对齐了吗？用于人脸识别的三维人脸对齐方法研究
Marwa Jabberi,Ali Wali,Bidyut Baran Chaudhuri et al.
Marwa Jabberi et al.
This paper proposes a 3D face alignment of 2D face images in the wild with noisy landmarks. The objective is to recognize individuals from their single profile image. We first proceed by extracting more than 68 landmarks using a bag of feat...
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...