Advanced Numerical Research and Analysis Group

Fuzzy-logic enhanced internet of things model for uncertainty-adaptive medical image segmentation

Deep learning (DL) models for brain tumour segmentation (BTS) typically produce a fixed decision boundary and do not allow the uncertainty they estimate to impact the segmentation decision (SD). This work presents a FUZIONet-Med: A Fuzzy Uncertainty-Adaptive IoT Edge Intelligence...

Energy-efficient clustering and mobile sink routing in wireless sensor networks using quantum-inspired optimization and deep learning

Wireless sensor networks (WSNs) require energy-efficient clustering and adaptive routing to maintain reliable communication and prolong network lifetime under varying node density, initial energy, communication range, packet size, residual energy, routing distance, latency, and m...

A PINN framework for the prediction of thermo-viscous flows between extended flat plates embedded in a porous slab with suction/injection

A powerful framework Physics-Informed Neural Networks (PINNs) provides solutions of complicated engineering challenges by incorporating governing physical theories with noisy or inadequate data. The present study relates PINNs to predict thermo-viscous flows between extended flat...

Numerical simulation of unsteady MHD bio-convective flow with Cattaneo-Christov heat flux over a stretching surface

Abstract The unsteady, two-dimensional, laminar boundary-layer flow of a viscous nanofluid containing gyrotactic microorganisms is examined over a permeable, radiative stretching sheet subject to an inclined magnetic field, Darcy resistance, internal heat generation, wall mass su...

DAVis-Net: A Dual-Attention Deep Supervision Framework for Reliable Retinal OCT Image Classification with Integrated Explainability and Uncertainty Quantification

Classification accuracy in retinal optical coherence tomography (OCT) alone does not establish whether a model is reliable or whether to refer to a specialist. To address this, we propose DAVis-Net, a VGG16-based architecture that is equipped with two Convolutional Block Attentio...

Current Strategy for Implementing Advanced Tech to Address Multidrug Resistant Bacteria

Introduction: This review explores emerging technological strategies aimed at combating Multidrug-Resistant Bacteria (MDRB), including MRSA, CRE, and VRE. These pathogens pose a critical public health threat due to rising resistance to conventional antibiotics. The study synthesi...