Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data [0.03%]
基于科学计量数据的新冠肺炎疫情人工智能驱动科学研究分析
Amit K Shukla,Taniya Seth,Pranab K Muhuri
Amit K Shukla
With the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center...
Enhanced cluster detection and noise reduction for geospatial time series data of COVID-19 [0.03%]
增强的簇检测和噪声减少地理时空序列数据以用于新冠肺炎疫情分析
Sabitri Gaire,Abeer Alsadoon,P W C Prasad et al.
Sabitri Gaire et al.
Spatial-temporal analysis of the COVID-19 cases is critical to find its transmitting behaviour and to detect the possible emerging clusters. Poisson's prospective space-time analysis has been successfully implemented for cluster detection o...
HQDCNet: Hybrid Quantum Dilated Convolution Neural Network for detecting covid-19 in the context of Big Data Analytics [0.03%]
基于大数据分析的HQDCNet：混合量子膨胀卷积神经网络在检测COVID-19中的应用
Nagamani Tenali,Gatram Rama Mohan Babu
Nagamani Tenali
Medical care services are changing to address problems with the development of big data frameworks as a result of the widespread use of big data analytics. Covid illness has recently been one of the leading causes of death in people. Since ...
Ranjan Kumar,Sajal Maheshwari,Anushka Sharma et al.
Ranjan Kumar et al.
Across the world, the seasonal disease influenza is a respiratory illness that impacts all age groups in many ways. Its symptoms are fever, chills, aches, pains, headaches, fatigue, cough, and weakness. Seasonal influenza can cause mild to ...
Automatic generation of short-answer questions in reading comprehension using NLP and KNN [0.03%]
基于NLP和KNN的阅读理解短文本题目自动生成方法研究
Lala Septem Riza,Yahya Firdaus,Rosa Ariani Sukamto et al.
Lala Septem Riza et al.
In general, making evaluations requires a lot of time, especially in thinking about the questions and answers. Therefore, research on automatic question generation is carried out in the hope that it can be used as a tool to generate questio...
Kawthar Yasmine Zergat,Sid Ahmed Selouani,Abderrahmane Amrouche et al.
Kawthar Yasmine Zergat et al.
Dialects have received bigger interest in recent years as they are increasingly used on the web and social media. Because Algerian Arabic dialects suffer from a lack of appropriate speech corpora for speech recognition, a rich dialect corpu...
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...