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Marimuthu, M.
- A Framework for Analysing Unstructured Data in Computing Devices
Abstract Views :269 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science and Engineering, Sona College of Technology, IN
1 Department of Computer Science and Engineering, Sona College of Technology, IN
Source
ICTACT Journal on Soft Computing, Vol 12, No 1 (2021), Pagination: 2464-2468Abstract
In recent years all the real-world digital equipment are generating enormous amount of data because of technological development. Those data are unstructured and hard to analyse. This framework tool is developed to view the data on different formats depending on the business needs by the customers or end users. Data forms are difficult to interpret manually. Structuring data is needed for the today business world. This system deals with files alone, as there are many problems in unstructured data. Manual listing and maintaining is hard as mistakenly the files are deleted and sometimes lost by the users. A tool was framed for analyzing file properties and showing our analysed report to the user which means they can make decisions based on their own business standards to improve the performance of hard drives. This framework will render different unstructured data analyses and provide some visual representation.Keywords
Unstructured Data, Files, Analysis.References
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- An Multi Threshold Model for COVID Patients with Initial Identification of Disease
Abstract Views :97 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science and Business Systems, Knowledge Institute of Technology, IN
2 Department of Computer Science Engineering, Presidency University, IN
3 Department of Computer Science and Engineering, Knowledge Institute of Technology, IN
4 Department of Computer Science and Engineering, Sona College of Technology, IN
1 Department of Computer Science and Business Systems, Knowledge Institute of Technology, IN
2 Department of Computer Science Engineering, Presidency University, IN
3 Department of Computer Science and Engineering, Knowledge Institute of Technology, IN
4 Department of Computer Science and Engineering, Sona College of Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 2 (2022), Pagination: 2831-2836Abstract
Many strains of corona virus such as alpha, beta, gamma, delta, and omicron are still prevalent in various parts of the world. The new type of corona virus is called a variant when it is caused by more than one genetic mutation from the previous type of corona virus. Various strains around the world have come so far. The cough may persist for more than an hour or three or four times in 24 hours and body heat is high. You may not be able to feel the smell or taste. Researchers say that some people may have symptoms similar to those of a severe cold. In this paper, a multi threshold model was proposed to find the initial infection detection of COVID disease. Based on the initial health symptoms these methods observe the inputs of the patients. Then the observed symptoms are compared with the existing database and identify the spreading of the disease. This report was directly monitored by the patient and doctor. This model was helpful to provide the periodical monitoring and perfect treatments to the infected patients.Many strains of corona virus such as alpha, beta, gamma, delta, and omicron are still prevalent in various parts of the world. The new type of corona virus is called a variant when it is caused by more than one genetic mutation from the previous type of corona virus. Various strains around the world have come so far. The cough may persist for more than an hour or three or four times in 24 hours and body heat is high. You may not be able to feel the smell or taste. Researchers say that some people may have symptoms similar to those of a severe cold. In this paper, a multi threshold model was proposed to find the initial infection detection of COVID disease. Based on the initial health symptoms these methods observe the inputs of the patients. Then the observed symptoms are compared with the existing database and identify the spreading of the disease. This report was directly monitored by the patient and doctor. This model was helpful to provide the periodical monitoring and perfect treatments to the infected patients.Keywords
Alpha, Beta, Gamma, Delta, Omicron, COVID, Threshold Model.References
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