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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44542

Climate Change detection system using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44542

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SG

Saurabh Gopal

MG

Mayur Gawade

Al

Aditya landage

GD

Gyaneshwar Donakonda

PA

Prof.Deepa Athawale

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Abstract

AI is transforming the medical field, especially in early detection and categorization of breast cancer. Deep learning models like CNNI-BCC are displaying impressive capabilities in examining MRI images to precisely recognize different types of breast cancer. This advancement in technology has significant implications for enhancing patient outcomes. By utilizing AI, healthcare professionals can now receive more accurate and prompt diagnoses. CNNI-BCC’s exceptional accuracy in analyzing MRI images allows for earlier detection of breast cancer, which is crucial for successful treatment. This technology enables doctors to identify potential abnormalities that may have been missed by traditional methods, leading to more effective interventions.

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Cite This Article

Saurabh Gopal, Mayur Gawade, Aditya landage, Gyaneshwar Donakonda, Prof.Deepa Athawale, "Climate Change detection system using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025.

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Publication Date

10/21/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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