Abstract Background Every year, around 1.5 million women worldwide receive a breast
cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …

Skin-based infections are one of the primary causes of the global disease burden. Digital
Health Technologies powered by data science models have the potential to revolutionize …

Due to its fantastic performance in the quality of the images created, Generator Adversarial
Networks have recently become a viable option for image reconstruction. The main problem …

The recent advancement in deep learning with growth in big data and high-performance
computing is Distributed Deep Learning. The rapid rise in the volume of data and network …

Smart contactless airport baggage management and handling system is a problem solver
that fits in maximum aspects of airport luggage security and management system. Thus …

At the present stage of information technologies development in the field of portable devices
implementation one of the perspective direction is the development of software and …

This paper presents a thorough investigation into the performance of various multithreading
libraries on different hardware configurations utilizing gem5. The study compares the …

INTRODUCTION: Using neural networks for these inherently distributed applications is
challenging and time-consuming. There is a crucial need for a framework that supports a …

Generative Adversarial Networks (GAN) are approaches that are utilized for data
augmentation, which facilitates the development of more accurate detection models for …

Zero-day attacks, which are defined by their abrupt appearance without any previous
detection mechanisms, present a substantial obstacle in the field of network security. To …