Data clustering involves identifying latent similarities within a dataset and organizing them
into clusters or groups. The outcomes of various clustering algorithms differ as they are …

Simple Summary Transfer learning is a technique utilizing a pre-trained model's knowledge
in a new task. This helps reduce the sample size and time needed for training. These …

Simple Summary HER2-positive breast cancer occurs in 15–30% of cases and has a poor
prognosis. Digital image analysis of HER2 is promising, but its implementation in real …

Tuning the parameters and prompts for improving AI-based text-to-image generation has
remained a substantial yet unaddressed challenge. Hence we introduce GreenStableYolo …

Ensuring cutting tools are in optimal condition is essential for achieving peak machining
performance, given their direct impact on both workpiece quality and process efficiency …

This book constitutes the refereed proceedings of the 16th International Symposium on
Search-Based Software Engineering, SSBSE 2024, held in Porto de Galinhas, Brazil, during …

The detection of cancer tumors is an essential component that has important consequences
for the speedy involvement of medical professionals and the enhancement of patient …

In the world of civilized medical scientific progression, cancer has become a very serious
threat for the natural survival of human beings where breast cancer stays to be the second …

This study introduces an accurate approach to forecast neoadjuvant therapy response in
breast cancer patients leveraging dynamic contrast-enhanced magnetic resonance imaging …

The essential competitive advantages of aspect oriented programming (AOP) are that it
improves the maintainability and understandability of software applications by modularizing …