CORONA AND MACHINE LEARNING 2021


ON THE USE OF MACHINE LEARNING FOR PREDICTING COVID-19 CASES: AN OVERVIEW OF EVOLVING DATASETS AND DISCRIMINATIVE
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Machine Learning methods to aid in Corona virus Response, Battling Coronavirus with Data Science and Artificial Intelligence, https://towardsdatascience.com/ machine learning methods-to-aid-in-coronavirus-response-70df8bfc7 Hall Mark A. (1999)

Clustering of ETF Data for Portfolio Selection during Early Period of Corona Virus Outbreak
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In this work, different machine learning algorithms are used for clustering ETF data obtained during the early period after corona virus outbreak to analyze the market condition and their performances are evaluated according to their resemblance with human interpretation

CORONAVIRUS OUTBREAK PREDICTION USING MACHINE LEARNING
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On this research, predicting the corona virus is divided into many phases, state wide analysis which covers active total, cured and death cases Google Colab provides us Jupyter note book environment which is suitable for machine learning concepts and it is a free online cloud

Approaches to Mitigate the Impacts of Highly Contagious Disease COVID-19 Using Machine Learning Algorithm
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1. Overview: Data Collection and Analysis Methods in Impact Corona virus Disease (COVID-19) By Ahmad Yame, Lawrence Technological University 2. SAGE Research Journals 3. Corona Crisis and Inequality: Why Journal of Machine Learning Research, 1 1929- 1958

Classifying Raman Spectroscopy Data Using Machine Learning Algorithms for Diagnosing Infection With Sars-Cov-2
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Page 1. Classifying Raman Spectroscopy Data Using Machine Learning Algorithms for Diagnosing Infection With Sars-Cov-2 Robert Istvan Oniga Abstract The rapid development of the corona crisis requires new methods and ap- proaches that could help flatten the curve 4 no. Mar., art. 9 2020. [20] AA Onoja, A propose machine learning approach for monitoring individuals health status on corona virus (COVID19) cases research proposal , March. [Online]. Available: https://www

Death/Recovery Prediction for Covid-19 Patients using Machine Learning
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That produces much better results. Data pre-processing and filtering is the most consuming time stage in any Machine learning /Deep learning project. The Novel Corona virus dataset has over 10k of entries, but it contains many missing values

Recognition of corona virus disease (COVID-19) using deep learning network
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also, segmentation challenges have been had in . Main contributions of the work are: Working with a vital challenge which is Corona Virus (COVID19) recognition though limited available data, make this problem hard to deal. Use recent machine learning algorithms (deep

COVID-19 Pandemic: Role of Machine Learning Deep Learning Methods in Diagnosis
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cycle for the Coronavirus (COVID-19) pandemic: Initial results for automated detection patient monitoring using deep learning ct image analysis. arXiv 2020;24 (6):1144-1152. 17. Patil V, Lilhore U. A survey on different data mining machine learning methods for credit card

A Comprehensive Survey on Artificial Intelligence and Machine Learning Techniques
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COVID 19: The novel Corona Virus is transmitted from person to person and it has bought a huge global threat. The transmission is mainly through respiratory and its symptoms mostly include cough, fever and cold. The Machine learning techniques helps in the diagnosis of

Literature Survey on IOT and Machine Learning Based Disease Predictor
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care is given extreme importance with conspicuous novel corona virus. Spreading of disease such as Covid19 has become a global pandemic due to fast spreading of virus in all the countries. Knowing the current situation Internet of Things (IoT) with machine learning will help

WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G- Corona Misinformation Tweets.
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WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G- Corona Misinformation Tweets We created the WICO (Wireless Networks and Coronavirus Conspiracy) dataset to support experts in machine learning experts, graph processing, and

Using Machine Learning Algorithms for the Prediction of Future Reachability of the COVID-2019
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Machine learning algorithm and artificial intelligence provide a lot of support in identifying the disease with the help of images and text data, and they can also be used to identify the new Corona virus, and to predict the nature of the virus around the world

Twitter Data Classification by Machine Learning for Sentiment Analysis
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data of the experiment we get different results as peoples opinion change depends on the world circumstances for example Corona Virus as it becomes the world of the year in 2020. For some queries, the Proposed 82.3 Textblob + NLTK + Machine Learning IV The main objective of A Novel Detection Model and Analysis of Face Mask Detection by using Machine Learning project is to provide some effective technology for preventing the spread of Corona virus. Primary objectives behind the development of this system are as follows

Facial Mask Detection to Avoid Corona Virus Infection
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I. INTRODUCTION The main purpose of the survey is to build the face mask detection model to reduce the corona virus spread among communities We need to train face detector to identify the boundaries using deep leaning or machine learning techniquesSimilarly, degree of 𝑥𝑖 − = 𝜇(𝑥𝑖 −) = 𝑢(𝑥𝑖 −) 𝑀𝑎𝑥𝑖=1 𝑙 𝑢(𝑥𝑖 −) ∈ [0 1],l + m = n (11) For our problem of corona virus disease, the decision maker can take a threshold level 𝜆 + (𝑜𝑟 𝜆−) Machine learning . 20 (3):273297. CiteSeerX 10.1.1.15.9362 Sweta Mohanty et al. developed a model to predict the anti viral drug by leveraging the existing data of Severe Acute Respiratory Syndrome CoronaVirus (SARS) which is a similar viral infection that was identified in .The machine learning models was trained to

TO STUDY PREDICTION OF COVID-19 USING MACHINE LEARNING TECHNIQUES
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Machine Learning Techniques Durga Mahesh Matta Meet Ku Saraf, pneumonia of unknown cause detected in Wuhan, China was first reported to the World Health Organization Country Office in China on 31 December. Since, then the number of cases of corona virus

25. DATA CUDGEL OR HOW TO GENERATE CORONACOMPLIANCE IN ISRAEL
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DATA CUDGEL OR HOW TO GENERATE CORONACOMPLIANCE IN ISRAEL ALEX GEKKER ANAT BEN-DAVID With the rapid Recently, with the rise of massive data collection and machine learning techniques, data has further changed meaning, but retained that

Machine Learning Based on Kernel Function Controlled Gaussian Process Regression Method for In-depth Extrapolative Analysis of Covid-19 Daily Cases Drift
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Terms: Covid-19 pandemic, short term, Non-stationary data, kernel, Machine learning Gaussian process regression 1. Introduction In spite of unrelenting efforts to improve on the health care systems and processes globally, the outbreak and spreading of corona virus disease

Alterations of white matter abnormalities in Parkinsons disease: a machine learning approach
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201 Hu, Qian et al. 2020). Machine learning (ML) approaches can model multiple variables at the same time, thus being able to occipital fasciculus, anterior limb of internal capsule, and superior corona radiate; 1 left WM regions, thecapability, Epidemics, vol. 2 pp.1- Dec. Arun SS and Iyer GN (2020), On the Analysis of COVID19-Novel Corona Viral Disease Pandemic Spread Data Using Machine Learning Techniques, in Proc. of 4th International A machine learning technique is used to isolate the infected person from the population. 2D data points are mapped to 3D space and then separate them linearly. References 1. World Health Organization Corona virus

Comparison of Machine Learning algorithm for COVID-19 Death Risk Prediction
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1 Comparison of Machine Learning algorithm for COVID-19 Death Risk Prediction Therefore, for the prediction of healthiness from symptoms Machine learning techniques can be implemented. From this we are going to analyse only the symptoms which occurs in every patient

Detection of Recovery of Covid-19 Cases using Machine Learning
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Future works Machine learning algorithms can be applied to study and analyse the COVID19 related data and medicines to find better medicine for the corona virus Design of an efficient machine learning algorithm Improvement on Decision Tree Improvement of COVID19

A Survey on Machine Learning and Internet of Things for COVID-19
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I. INTRODUCTION Corona virus disease-19 (COVID-19) began as a pneumonia outbreak first detected in the city of Wuhan electronic/computer components to ultimately make them responsive by supporting data altercation and collection . Second, machine learning (ML) is

A Machine Learning Approach to Analyse the Symptoms of Covid-19 for the Initial Diagnosis of a Patient
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The recent outbreak of the respiratory ailment COVID-19 caused by novel corona virus SARS- Cov2 is a severe and Here, we developed a model that employed supervised machine learning algorithms to identify the certain features predicting COVID-19 disease diagnosis with Expert System for Corona Diagnosis (ESCD) AI-CDSS for cardiology was developed with a hybrid (expert- driven and machine learningdriven) approach of knowledge acquisition to evolve the knowledge base with heart failure diagnosis . Diagnostic expert-based systems Therefore, we decided to bring a machine learningbased technique with a list of datasets that will apply to coronavirus dataset for identification such as sore throat, pneumonia, fever, respiratory illness, and lung infection [3 5]. In the past 3 months, the corona virus disease

Teaching and Examination Process of Some University Courses before vs during the Corona Crisis
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The software and technical support that we have employed in the first year from the beginning of the corona crisis at FCSE, gave His research in- cludes Topological Data Analysis, Machine learning and application of some method from algebraic topology to computer science. people for gathering information. Besides AI powered medical devices provide promising accuracy. Machine learning based corona detection makes easy for analysis stated by Akib Mohi Ud Din Khanday5. The use of artificial

Machine learning discovery of distinguishing laboratory features for severity classification of COVID‐19 patients
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The exponential spread of Corona virus disease (COVID‐19) infection worldwide has caused great concern [1 6] Guidelines provided COVID‐19 in patients, based on more than 300 laboratory features using artificial intelligence (AI) or machine learning (ML) technology

ANALYSIS, DESIGN AND IMPLEMENTATION OF A PARKING RECOMMENDATION SYSTEM APPLYING MACHINE LEARNING TECHNIQUES
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As well as the commonplace approach based on neural networks, statis- tical predictors (eg, ARIMA, ) and other well-known machine learning techniques (eg Area Rate ( ) Validity Cerchia del Mille 2.4 8:00 20:00 Centro Storico 1.8 8:00 20:00 Corona Semicentrale 1.5 8:00 the Johns Hopkins dashboard to observe the daily behaviour of domestic COVID-19 and predict future accessibility using machine learning and deep learning models the virus outbreak as a global emergancy) 7 (Dr. Li Welliang died warned the novel corona virus on

Formation of a cooperation network in Mato Grosso on Machine Learning and Image Analysis: Diagnosis of COVID-19 in X-ray images
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and more accurate and creating what could be identified as a Corona Pattern for an algorithm that uses artificial intelligence alongside with computer vision methods. The objective of this work lies in applying and developing fron- tier research on machine learning and its

Evaluation of COVID-19 Pandemic in Six Asia-Pacific Countries using Data-Driven and Machine Learning Method Based on the Current Management and
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comprehensive analysis and machine learning method to evaluate and forecast the COVID-19 transmission in countries CSSE (https://github.com/CSSEGISandData/COVID- 19/tree/master/csse_covid_19_data), Novel Corona Virus

Survey on Diagnosing CORONA VIRUS from Radiography chest X-ray images using Convolutional Neural Networks
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In efforts for regulating spreading of corona virus, an outsized percent of suspicious cases need to be examined for correct suggests that existing models are delicate and unpredictable COVID-19 Diagnosis Using Deep Learning the advantages of Machine Learning (ML) are

Machine LearningBased Rehabilitation Prognosis Prediction in Patients with Ischemic Stroke using Brainstem Auditory Evoked Potential. Diagnostics 202 11
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4 of 13 Thalamus 4 Corona radiata 23 The 95% confidence interval was also estimated by the bootstrap method. All statistical analyses and machine learning application processes were per- formed using MATLAB R2019a (MathWorks, Natick, MA, USA). Page 6