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Call for Papers:Vol.11 Issue.3

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Title: :  MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES
PaperId: :  22920
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22920
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
KAMALAVALLI MBANNARI AMMAN INSTITUTE OF TECHNOLOGY
HAKEEMA M ABANNARI AMMAN INSTITUTE OF TECHNOLOGY
PANDIYAN MBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Computer Engineering
Deep learning, Monkey-pox, dataset, data augmentation, Accuracy.
The monkey-pox virus is slowly spreading around the world. This paper discusses discovering and identifying the monkey-pox virus using pre-trained deep learning-based approaches. The huge epidemic of this sickness has sickened thousands of people and even resulted in deaths. The disease's effects may last up to three or four weeks in a patient. Symptoms include skin rash or mucosal lesions, fever, headache, muscle aches, back discomfort, fatigue, and enlarged lymph nodes. Monkey-pox can spread to humans by personal contact with an infected individual or with contaminated objects. So, detecting the virus early is critical to prevent community transmission. Deep learning-based detection could provide a solution to this problem. Deep learning techniques could help in discovering the disease early and avoiding transmission. The pre-trained model is used in the dataset to reliably identify significant patterns and features. To improve the model's performance, data augmentation is implemented. The experiment is carried out on a dataset containing images of monkey-pox, and accuracy of the model is evaluated. The results indicate that the recommended deep learning approach surpasses previously suggested models, demonstrating its reliability as a efficient tool for detecting the monkey-pox virus. This technique is effective in assisting healthcare workers in making fast and accurate diagnoses.

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IJARIIE KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. "MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 1375-1382
MLA KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. "MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 1375-1382.
APA KAMALAVALLI M, HAKEEMA M A, & PANDIYAN M. (2024). MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 1375-1382.
Chicago KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. "MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 1375-1382.
Oxford KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. 'MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 1375-1382. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/MONKEY_POX_VIRUS_DETECTION_USING_PRE_TRAINED_DEEP_LEARNING_BASED_APPROACHES_ijariie22920.pdf (Accessed : ).
Harvard KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. (2024) 'MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 1375-1382IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/MONKEY_POX_VIRUS_DETECTION_USING_PRE_TRAINED_DEEP_LEARNING_BASED_APPROACHES_ijariie22920.pdf (Accessed : )
IEEE KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M, "MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 1375-1382, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/MONKEY_POX_VIRUS_DETECTION_USING_PRE_TRAINED_DEEP_LEARNING_BASED_APPROACHES_ijariie22920.pdf [Accessed : ].
Turabian KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. "MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver KAMALAVALLI M, HAKEEMA M A, and PANDIYAN M. MONKEY-POX VIRUS DETECTION USING PRE-TRAINED DEEP LEARNING BASED APPROACHES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 1375-1382. Available from: https://ijariie.com/AdminUploadPdf/MONKEY_POX_VIRUS_DETECTION_USING_PRE_TRAINED_DEEP_LEARNING_BASED_APPROACHES_ijariie22920.pdf
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