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A Novel Regularization Approach for Loss Functions to Reduce Instance Imbalance in Biomedical Image Segmentation/ Muhammad Aqib Javed

TextIslamabad SEECS NUST 2025Description: 95, p. 35 cmSubject(s): MS Computer ScienceDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-7415

Total holds: 0

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Previous	200 Improving the Capabilities of Network Attack Detection Using Machine Learning/	200 Mining Crowd Sourcing Repositories for Open Innovation in Software Engineering/	200 Rise of Islamic Banking in Pakistan/	200 A Novel Regularization Approach for Loss Functions to Reduce Instance Imbalance in Biomedical Image Segmentation/	200 Development of a Robust DIFTSTSMC Controller for Underwater Gliders: Modeling and Performance Optimizations/	200 Climate Informed Decision Making in Water Sector of Pakistan/	200 Green-Weave Finance Blueprint: Energy Solutions for Pakistan's Textile Exports/	Next

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