DSpace JSPUI

Early diagnosis and proper grouping of tumors in the brain are critical for successful therapy and positive outcomes for patients. This work proposes a complete technique for identifying brain tumors that employ sophisticated artificial intelligence methodologies and achieve an accuracy rate of 97.18%. The work makes use of the brain tumor magnetic resonance imaging (MRI) collection in Kaggle, which has 723 MRI scans classified as glioma, meningioma, pituitary tumor, and no tumor. These...

Preterm birth (PTB) is a major cause of child and mother mortality, a PTB classification model can assist in assessing the health condition ahead of time and help avoid complications during childbirth. Mother’s significant feature (MSF) dataset created for this study has features derived from mother’s physical, lifestyle, social and stress attributes. MSF dataset consists of 119 features of 1,000 mothers with 172 preterm and 828 full-term deliveries, resulting in issues of dataset imbalance n...

The complicated and poorly understood relationships that exist between customers and brands in retailing persist despite the abundance of works on the subject. This study examines the direct relationships between three distinct relationship variables- brand trust, brand affect, and brand commitment—and the hedonic, symbolic, and functional aspects of brand images. Additionally, it looks into how they indirectly affect two kinds of loyalty-behavioural and attitude-in relation to face ca...

Diabetic Macular Edema (DME) is the foremost reason for vision loss in patients having Diabetic Retinopathy (DR). In the earlier diagnosis of DR, Optical Coherence Tomography (OCT) plays a major part in detecting and classifying DR, thus preventing vision loss. Most people suffer from DME due to neglecting treatments, which may lead to blindness or visual impairment. If properly detected, this can be healed at an earlier phase. DME detection and classification is a challenging chore in af...

The consequences of varying pressure drop on a Herschel-Bulkley fluid as it flows through two-dimensional non-uniform porous tube have been explored. The governing equations of the model were solved analytically under long wavelength and low Reynolds number to determine the behavior of the fluid within the given conditions. Exact solutions are derived for the velocity field, stream functions, and pressure gradient. The observations disclose that an increase in the porous thickening of th...