Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review [0.03%]
使用深度学习进行医学图像处理中的COVID-19疫情现状综述
Jaspreet Kaur,Prabhpreet Kaur
Jaspreet Kaur
From the month of December-19, the outbreak of Coronavirus (COVID-19) triggered several deaths and overstated every aspect of individual health. COVID-19 has been designated as a pandemic by World Health Organization. The circumstances plac...
Automated Bacterial Classifications Using Machine Learning Based Computational Techniques: Architectures, Challenges and Open Research Issues [0.03%]
基于机器学习计算技术的自动化细菌分类：体系结构、挑战和开放研究问题
Shallu Kotwal,Priya Rani,Tasleem Arif et al.
Shallu Kotwal et al.
Bacteria are important in a variety of practical domains, including industry, agriculture, medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of them are extremely dangerous and causes variety of life t...
System Inference Via Field Inversion for the Spatio-Temporal Progression of Infectious Diseases: Studies of COVID-19 in Michigan and Mexico [0.03%]
通过场地逆向推断系统来分析传染病的时空进展：密歇根州和墨西哥COVID-19的研究
Zhenlin Wang,Mariana Carrasco-Teja,Xiaoxuan Zhang et al.
Zhenlin Wang et al.
We present an approach to studying and predicting the spatio-temporal progression of infectious diseases. We treat the problem by adopting a partial differential equation (PDE) version of the Susceptible, Infected, Recovered, Deceased (SIRD...
A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis [0.03%]
人工智能在癌症预测和诊断中的技术系统综述
Yogesh Kumar,Surbhi Gupta,Ruchi Singla et al.
Yogesh Kumar et al.
Artificial intelligence has aided in the advancement of healthcare research. The availability of open-source healthcare statistics has prompted researchers to create applications that aid cancer detection and prognosis. Deep learning and ma...
Shivam Chahar,Pradeep Kumar Roy
Shivam Chahar
Coronavirus disease is communicable and inhibits the infected person's immune system. It belongs to the Coronaviridae family and has affected 213 nations and territories so far. Many kinds of studies are being carried out to filter advice a...
Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments [0.03%]
基于机器学习和深度学习的自动微生物图像识别计算方法：方法、挑战及发展
Priya Rani,Shallu Kotwal,Jatinder Manhas et al.
Priya Rani et al.
Microorganisms or microbes comprise majority of the diversity on earth and are extremely important to human life. They are also integral to processes in the ecosystem. The process of their recognition is highly tedious, but very much essent...
Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study [0.03%]
B.1.1.7和B.1.351对COVID-19动态的影响：一项关于复课的研究
Kevin Linka,Mathias Peirlinck,Amelie Schäfer et al.
Kevin Linka et al.
The timing and sequence of safe campus reopening has remained the most controversial topic in higher education since the outbreak of the COVID-19 pandemic. By the end of March 2020, almost all colleges and universities in the United States ...
Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review [0.03%]
用于缓解COVID-19大流行的数学建模和计算模拟的优缺点：全面综述
Asif Afzal,C Ahamed Saleel,Suvanjan Bhattacharyya et al.
Asif Afzal et al.
Mathematical models have assisted in describing the transmission and propagation dynamics of various viral diseases like MERS, measles, SARS, and Influenza; while the advanced computational technique is utilized in the epidemiology of viral...
Patrick Blonigan,Jaideep Ray,Cosmin Safta
Patrick Blonigan
We present a simple, near-real-time Bayesian method to infer and forecast a multiwave outbreak, and demonstrate it on the COVID-19 pandemic. The approach uses timely epidemiological data that has been widely available for COVID-19. It provi...
Assessing the Spatio-temporal Spread of COVID-19 via Compartmental Models with Diffusion in Italy, USA, and Brazil [0.03%]
基于意大利、美国和巴西的扩散隔室模型评估COVID-19的空间时间传播路径
Malú Grave,Alex Viguerie,Gabriel F Barros et al.
Malú Grave et al.
The outbreak of COVID-19 in 2020 has led to a surge in interest in the mathematical modeling of infectious diseases. Such models are usually defined as compartmental models, in which the population under study is divided into compartments b...