Madan Mohan Malaviya University of Technology

Effect of cellulose nanocrystal reinforcement on erosion wear resistance of sisal/Areca/epoxy hybrid biocomposite

Cellulose nanocrystals (CNCs) have emerged as a promising bio-based reinforcing material and are widely used to enhance the performance of polymer composites. The present study investigates the effect of CNC reinforcement on the abrasive erosion wear behaviour of sisal/areca/epox...

Heteroleptic Silver(I) Complexes of Dithiocarbamate and Phosphine Ligands: Synthesis, Characterization, and Their Application in Multicomponent Organic Reactions

Abstract Silver(I) complexes incorporating soft donor ligands such as dithiocarbamates and phosphines have attracted considerable attention owing to their diverse structural features and notable catalytic activities. In this study, a series of heteroleptic Ag(I) complexes with th...

Plasmonic Enhancement Using Yttrium Lithium Fluoride Hybrid Layers in a PCF-Based SPR Sensor for Biomolecule Detection

A high-performance plasmonic surface plasmon resonance (SPR) sensor with a tunable detection range is suggested in this paper. It uses gold (Au) in conjunction with yttrium lithium fluoride (YLiF4) as the adhesive layers, ensuring better sensing performance. We examined the impac...

Comparative evaluation of classical machine learning and deep learning models for early weed detection in precision agriculture

Unless treated and controlled early, weeds considerably impede the growth of crops as they compete over vital factors (resources) like nutrients, water, and light. To overcome this problem, an automated weed species early detection and classification system using machine learning...

Disjunctive Programming and Piecewise Convexity: An Algorithmic Trajectory Analysis Toward Stationary Points to Avoid the Maratos Effect in Numerical Optimization

In this paper, we present an algorithmic modeling approach based on Disjunctive Programming using Boolean logic “OR” to solve the Optimal Phasor Measurement Unit Placement (OPP). We propose a framework for modeling the optimal PMU placement subject to disjunctive constraints. A c...

Stability and Leakage Optimization for an SRAM Cell Using FinFET Technology

Introduction: The aggressive scaling of complementary metal-oxide-semiconductor (CMOS) into the deep nanometre regime has increased leakage power and reduced stability in conventional static random-access memory (SRAM) cells, posing issues for ultra-low-power applications. This s...

Prediction of agricultural production based on multivariate data with feature aware machine learning models

In the context of climate change, yield prediction in agriculture becomes extremely important for achieving food security, precision agriculture, and sustainable resource management but the productivity of crop production involves a nonlinear relationship between environmental, c...