Diagnosis of COVID-19 using chest X-ray images based on modified DarkCovidNet model [0.03%]
基于改进的DarkCovidNet模型的COVID-19胸部X射线图像诊断方法研究
Dawit Kiros Redie,Abdulhakim Edao Sirko,Tensaie Melkamu Demissie et al.
Dawit Kiros Redie et al.
Coronavirus disease, also known as COVID-19, is an infectious disease caused by SARS-CoV-2. It has a direct impact on the upper and lower respiratory tract and threatened the health of many people around the world. The latest statistics sho...
Vaccine hesitancy in the post-vaccination COVID-19 era: a machine learning and statistical analysis driven study [0.03%]
后疫苗时代COVID-19疫苗犹豫的机器学习和统计分析驱动研究
Himanshu Gupta,Om Prakash Verma
Himanshu Gupta
Background The COVID-19 pandemic has badly affected people of all ages globally. Therefore, its vaccine has been developed and made available for public use in unprecedented times. However, because of various levels of hesitancy, it did not...
A statistical and deep learning-based daily infected count prediction system for the coronavirus pandemic [0.03%]
一种基于统计和深度学习的每日新增病例预测系统用于新冠肺炎疫情防控研究
Vruddhi Shah,Ankita Shelke,Mamata Parab et al.
Vruddhi Shah et al.
We present new data analytics-based predictions results that can help governments to plan their future actions and also help medical services to be better prepared for the future. Our system can predict new corona cases with 99.82% accuracy...
Predicting the pandemic: sentiment evaluation and predictive analysis from large-scale tweets on Covid-19 by deep convolutional neural network [0.03%]
基于深度卷积神经网络的Covid-19大规模推特情感评估及预测分析
Sourav Das,Anup Kumar Kolya
Sourav Das
Engaging deep neural networks for textual sentiment analysis is an extensively practiced domain of research. Textual sentiment classification harnesses the full computational potential of deep learning models. Typically, these research work...
Archana R Panhalkar,Dharmpal D Doye
Archana R Panhalkar
Decision tree is one of the best expressive classifiers in data mining. A decision tree is popular due to its simplicity and straightforward visualization capability for all types of datasets. Decision tree forest is an ensemble of decision...
D R Sarvamangala,Raghavendra V Kulkarni
D R Sarvamangala
Imaging techniques are used to capture anomalies of the human body. The captured images must be understood for diagnosis, prognosis and treatment planning of the anomalies. Medical image understanding is generally performed by skilled medic...
Anthony Brabazon,Michael Kampouridis
Anthony Brabazon
Reduced projection angles for binary tomography with particle aggregation [0.03%]
基于粒子聚集的二值断层摄影中的减少投影角度问题
Mohammad Majid Al-Rifaie,Tim Blackwell
Mohammad Majid Al-Rifaie
This paper extends particle aggregate reconstruction technique (PART), a reconstruction algorithm for binary tomography based on the movement of particles. PART supposes that pixel values are particles, and that particles diffuse through th...
Nafrizuan Mat Yahya,M Osman Tokhi,Hyreil Anuar Kasdirin
Nafrizuan Mat Yahya
Bats sonar algorithm (BSA) as a swarm intelligence approach utilises the concept of echolocation of bats to find prey. However, the algorithm is unable to achieve good precision and fast convergence rate to the optimum solution. With this i...
ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier System [0.03%]
可扩展学习分类系统ExSTraCS 2.0的描述与评估
Ryan J Urbanowicz,Jason H Moore
Ryan J Urbanowicz
Algorithmic scalability is a major concern for any machine learning strategy in this age of 'big data'. A large number of potentially predictive attributes is emblematic of problems in bioinformatics, genetic epidemiology, and many other fi...