ItemArticle

A novel multigrade classification in FL using brain MRI images based on FHAT_EfficientNet

Title
A novel multigrade classification in FL using brain MRI images based on FHAT_EfficientNet
Creator
Saini, Madan Lal; Satish, Aravapalli Rama; Rao, Telu Venkata Madhusudhana; Mandala, Jyothi; Das, Smritilekha; Rajan, Cristin
Description
This paper establishes the fractional harmony artificial tree (FHAT)_EfficientNet for multi-grade classification in federated learning (FL). Here, the established FHAT is attained by the integration of the fractional calculus (FC) and harmony search-based feedback artificial tree (HSFAT) algorithm, and the HSFAT is developed by the combination of harmony search (HS) and feedback artificial tree (FAT). Initially, the input MRI image is taken from a particular dataset and subjected to pre-processing. Thereafter, tumour segmentation is accomplished based on fuzzy local information c-means (FLICM). Later, image augmentation and feature extraction are performed. Finally, the multi-grade classification is carried out using EfficientNet fine-tuned based on the proposed FHAT. Moreover, the established FHAT_EfficientNet attained better accuracy, specificity, sensitivity, mean squared error (MSE), root mean square error (RMSE), and loss function of 0.917, 0.936, 0.966, 0.058, 0.241, and 0.083. Copyright 2025 Inderscience Enterprises Ltd.
Source
International Journal of Ad Hoc and Ubiquitous Computing;Volume;49;Issue;4;pp.251-269
Date
01-01-2025
Publisher
Inderscience Publishers
Subject
EfficientNet; federated learning; FHAT; FLICM; fractional calculus; fractional harmony artificial tree; fuzzy local information c-means
Coverage
Saini M.L., Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, Mohali, 140055, India; Satish A.R., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India; Rao T.V.M., Department of AI&DS, Vignans Institute of Information Technology, Visakhapatnam, 530049, India; Mandala J., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Das S., Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India; Rajan C., Department of Computer Science and Engineering, GMR Institute of Technology, Andhra Pradesh, Rajam, 532127, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 17438225;
Format
online
Language
English
Type
Article

Citation

Saini, Madan Lal; Satish, Aravapalli Rama; Rao, Telu Venkata Madhusudhana; Mandala, Jyothi; Das, Smritilekha; Rajan, Cristin, “A novel multigrade classification in FL using brain MRI images based on FHAT_EfficientNet,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23285.

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