Point University

An Efficient Brain Tumor Classification Framework using Multiscale Shuffle Attention Net and Adaptive Trans-SegUnet for Segmentation

Automated brain tumors diagnosis from MRI images has been profoundly researched for the past few years. Evaluating an MRI scan image is a skilled, tedious, and challenging operation. Recently, many segmentation approaches have been defined for identifying the target object from h...

Adsorption studies of methylene blue dye using cellulose based adsorbents of invasive weed plants: optimization and mechanistic insights

Water pollution from industrial dye effluents poses a significant environmental challenge, and adsorption has emerged as an efficient and eco-friendly remediation strategy. This study investigated cellulose-derived adsorbents, Cellulose Nanoparticle Dialdehyde (CNPD) and Cellulos...