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Title: :  Waste and Natural Disaster Image Classification using CNN
PaperId: :  22581
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 1 2024
DUI:    16.0415/IJARIIE-22581
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Afeefa NaseemKKMMPTC Mala
Adhithya BijuKKMMPTC Mala
Aiswarya TP KKMMPTC Mala
Abhijith AjumonKKMMPTC Mala
Aman FayazKKMMPTC Mala
Firoze TSKKMMPTC Mala
Ajith PJKKMMPTC Mala

Abstract

Artificial Intelligence
Natural disasters, waste, machine learning algorithms, image classification, CCN- convolution neural network
Natural calamities can exert a deep and extensive impact on human beings, influencing people on personal, communal, and societal levels across various dimensions such as physical, mental, economic, and social aspects. The utilization of machine learning algorithms to categorize images depicting natural disasters can prove highly beneficial to humans, offering valuable insights and aid in managing and responding to disasters effectively. Each year, the Earth generates 2.01 billion metric tons of municipal solid waste, and a conservative estimate suggests that at least 33 percent of this waste is not managed in an environmentally responsible manner. Waste management is a worldwide problem that has an impact on all nations, with each day producing 4.4 pounds of waste per person [1]. The categorization of waste images holds promise for improving waste management procedures, elevating recycling percentages, minimizing environmental pollution, and promoting sustainable development. A Convolutional Neural Network (CNN), a subset of machine learning algorithms and artificial neural networks tailored for image-related tasks, has played a transformative role in computer vision and image processing applications. This is attributed to its capacity to autonomously acquire and extract meaningful features from images. In this article, we are proposing for a CNN system for classifying Waste and Natural Disaster images.

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IJARIIE Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. "Waste and Natural Disaster Image Classification using CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 1 2024 Page 1307-1312
MLA Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. "Waste and Natural Disaster Image Classification using CNN." International Journal Of Advance Research And Innovative Ideas In Education 10.1(2024) : 1307-1312.
APA Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, & Ajith PJ. (2024). Waste and Natural Disaster Image Classification using CNN. International Journal Of Advance Research And Innovative Ideas In Education, 10(1), 1307-1312.
Chicago Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. "Waste and Natural Disaster Image Classification using CNN." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 1 (2024) : 1307-1312.
Oxford Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. 'Waste and Natural Disaster Image Classification using CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 1, 2024, p. 1307-1312. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Waste_and_Natural_Disaster_Image_Classification_using_CNN_ijariie22581.pdf (Accessed : ).
Harvard Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. (2024) 'Waste and Natural Disaster Image Classification using CNN', International Journal Of Advance Research And Innovative Ideas In Education, 10(1), pp. 1307-1312IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Waste_and_Natural_Disaster_Image_Classification_using_CNN_ijariie22581.pdf (Accessed : )
IEEE Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ, "Waste and Natural Disaster Image Classification using CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 1, pp. 1307-1312, Jan-Feb 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Waste_and_Natural_Disaster_Image_Classification_using_CNN_ijariie22581.pdf [Accessed : ].
Turabian Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. "Waste and Natural Disaster Image Classification using CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 1 ().
Vancouver Afeefa Naseem, Adhithya Biju, Aiswarya TP , Abhijith Ajumon, Aman Fayaz, Firoze TS, and Ajith PJ. Waste and Natural Disaster Image Classification using CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(1) : 1307-1312. Available from: https://ijariie.com/AdminUploadPdf/Waste_and_Natural_Disaster_Image_Classification_using_CNN_ijariie22581.pdf
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