Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review [0.03%]
深度神经网络和机器学习在生物医学影像（X射线、CT、超声波、心电图）和基因序列中诊断、检测、分类及分割新冠肺炎的应用：元分析与系统综述
Yogesh H Bhosale,K Sridhar Patnaik
Yogesh H Bhosale
This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19 epidemic and provides recommendations for future Covid-19 research. Despite the fact that vaccines for this epidemic have been developed, DL methods have p...
A GAN-based method for 3D lung tumor reconstruction boosted by a knowledge transfer approach [0.03%]
一种基于GAN的结合知识迁移方法的三维肺癌重建方法
Seyed Reza Rezaei,Abbas Ahmadi
Seyed Reza Rezaei
Three-dimensional (3D) image reconstruction of tumors has been one of the most effective techniques for accurately visualizing tumor structures and treatment with high resolution, which requires a set of two-dimensional medical images such ...
Fake news detection in social media based on sentiment analysis using classifier techniques [0.03%]
基于分类器技术运用情感分析的社交媒体假新闻检测
Sarita V Balshetwar,Abilash Rs,Dani Jermisha R
Sarita V Balshetwar
Fake news on social media, has spread for personal or societal gain. Detecting fake news is a multi-step procedure that entails analysing the content of the news to assess its trustworthiness. The article has proposed a new solution for fak...
Big health data for elderly employees job performance of SOEs: visionary and enticing challenges [0.03%]
大数据、健康与国企老年员工的工作绩效——充满希望和挑战的新领域
Qian Zhang
Qian Zhang
The method is providing and overview of the organization in the management perspective, within the health big data analysis, especially for the elderly employees, the organizations could sign the elderly employees within the right tasks, it...
Multi-classification approach for lung nodule detection and classification with proposed texture feature in X-ray images [0.03%]
基于X射线图像纹理特征的肺结节检测与分类的多分类方法研究
Mary Jaya Vj,Krishnakumar S
Mary Jaya Vj
Lung cancer is a widespread type of cancer around the world. It is, moreover, a lethal type of tumor. Nevertheless, analysis signifies that earlier recognition of lung cancer considerably develops the possibilities of survival. By deploying...
Survey on crop pest detection using deep learning and machine learning approaches [0.03%]
基于深度学习和机器学习的农作物病虫害检测研究进展综述
M Chithambarathanu,M K Jeyakumar
M Chithambarathanu
The most important elements in the realm of commercial food standards are effective pest management and control. Crop pests can make a huge impact on crop quality and productivity. It is critical to seek and develop new tools to diagnose th...
A competitive learning-based Grey wolf Optimizer for engineering problems and its application to multi-layer perceptron training [0.03%]
基于竞争学习的灰狼优化器及其在多层感知机训练中的应用
Vamsi Krishna Reddy Aala Kalananda,Venkata Lakshmi Narayana Komanapalli
Vamsi Krishna Reddy Aala Kalananda
This article presents a competitive learning-based Grey Wolf Optimizer (Clb-GWO) formulated through the introduction of competitive learning strategies to achieve a better trade-off between exploration and exploitation while promoting popul...
Watermarking approach based on Hermite transform and a sliding window algorithm [0.03%]
基于Hermite变换和滑动窗口算法的数字水印算法
Fadoua Sabbane,Hamid Tairi
Fadoua Sabbane
Nowadays, the distribution of huge amounts of medical images through open networks in telemedicine applications has become increasingly faster and easier. Therefore, a number of considerations are introduced related to the risks of the ille...
Key frame extraction method for lecture videos based on spatio-temporal subtitles [0.03%]
基于时空字幕的课堂视频关键帧抽取方法
Yunzuo Zhang,Yi Li,Zhaoquan Cai et al.
Yunzuo Zhang et al.
Affected by the Corona Virus Disease 2019 (COVID-19), online lecture videos have witnessed an explosive growth. In the face of massive videos, this paper proposes a method for extracting key frames of lecture videos based on spatio-temporal...
Parallel multi-head attention and term-weighted question embedding for medical visual question answering [0.03%]
用于医学视觉问答的并行多头注意力和术语加权问题嵌入
Sruthy Manmadhan,Binsu C Kovoor
Sruthy Manmadhan
The goal of medical visual question answering (Med-VQA) is to correctly answer a clinical question posed by a medical image. Medical images are fundamentally different from images in the general domain. As a result, using general domain Vis...