Fig 3 -

Fig 3 -

<p>Various neutrosophic RGB image domains were explored in this study, including (a) original RGB images, (b) F domain, (c) I, and (d) T domain for DSWM1 and DSWM2 for the different dataset’s classes.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nour Eldeen Mahmoud Khalifa (19259450) (author)
مؤلفون آخرون:	Mohamed Hamed N. Taha (19259453) (author), Heba M. Khalil (11237892) (author), Mazhar Hussain Malik (17081487) (author)
منشور في:	2024
الموضوعات:	Ecology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified grey wolf optimization achieves competitive results xlink "> sustainability image features selection datasets exist publicly waste management 2 waste management 1 three neutrosophic domains deep transfer learning sustainability </ p p ), recall classify waste objects ta ), precision ondl model proved ondl model architecture different dtl models deep learning management practices waste classification classifying waste two datasets three classes sustainability ecosystem sustainability challenge selection process ondl model dswm1 ), two classes testing accuracy tested models related works r ), performance metrics neutrosophic domain key factor f1 score crucial role constructed based computer algorithms building components applied correctly
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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