Noorul Islam University

Artificial intelligence based optimization of electrical discharge machining parameters for minimizing surface roughness of aluminium 6061 boron carbide metal matrix composites

Modern manufacturing increasingly demands the optimization of non-linear responses during the Electrical Discharge Machining (EDM) of Metal Matrix Composites (MMCs). This study investigates the surface integrity of an A6061 alloy reinforced with 6 wt% B 4 C (Boron Carbide), synth...

Liver Disorder Detection Using Fractional Brown-Bear Optimization-Based Feature Fusion and Ensemble Learning

In the last few decades, liver diseases have quickly augmented in prevalence and severity, making them one of leading global killers. Any abnormality in liver is defined as liver disease. Diagnosis and evaluation of liver diseases constitute the process of identifying liver disor...

Transforming agricultural stem waste into value‐added microcrystalline cellulose: A sustainable resource recovery strategy using Moringa oleifera

Abstract This article examines the potential of Moringa oleifera stem waste as a sustainable and underutilized lignocellulosic source for the production of high‐purity microcrystalline cellulose (MCC). The biomass was first optimally alkaline‐delignified, bleached, and acid‐hydro...

AHCMM-Net-NGO: A Progressive Hybrid CNN–Mamba Framework with Adaptive Attention Refinement for Robust License Plate Recognition

Automatic License Plate Recognition (LPR) is an essential technology in modern intelligent transportation systems, facilitating the identification of vehicles without manual intervention. It supports a wide range of applications, including traffic monitoring, electronic toll paym...