Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …

Experimental polarising microscopy texture images of the fluid smectic phases and sub-
phases of the classic liquid crystal MHPOBC were classified as paraelectric (SmA*) …

In the coming decades, we will face major computational challenges, when the improved
sensitivity of third-generation gravitational wave detectors will be such that they will be able …

Although most of the machine learning and deep learning model expects the nature of data
to have Gaussian representation for better predictive capability, in reality, this assumption …

Xerostomia may be accompanied by changes in salivary flow rate and the incidence
increases in elderly. We aimed to use machine learning algorithms, to identify significant …

Abstract Machine learning (ML) models have been quite successful in predicting outcomes
in many applications. However, in some cases, domain experts might have a judgment …

Due to advancement of modern technology, data generation is becoming huge in all sectors
in recent times. The observational astronomy has embraced modern tools, thereby …

Space situational awareness (SSA) system requires recognition of space objects that are
varied in sizes, shapes, and types. The space images are challenging because of several …

ABSTRACT A relatively new concern for the forthcoming massive spectroscopic sky surveys
is the impact of contamination from low earth orbit satellites. Several hundred thousand of …

In this study, we introduce an innovative Quantum-enhanced Support Vector Machine
(QSVM) approach for stellar classification, leveraging the power of quantum computing and …