Visvesvaraya National Institute of Technology

A residual weighted physics informed neural network for forward and inverse problems of reaction diffusion equations

Physics-Informed Neural Networks (PINNs) constitute an effective deep learning approach for solving partial differential equations (PDEs). In this work, we propose a Residual-Weighted Physics-Informed Neural Network (RW-PINN), a new method designed to enhance the accuracy of PINN...

Investigation of coal mine overburden as a sustainable fine aggregate in alkali-activated concrete

The environmental impacts associated with conventional concrete production and the increasing scarcity of natural resources have highlighted the need for alternative materials for sustainable concrete production. This study investigates the feasibility of using coal mine overburd...

Integrating K-means clustering with entropy-weighted TOPSIS for large-scale multi-criteria decision making

Multi-Criteria Decision Making (MCDM) methods like Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) consider all the alternatives at once, which can be computationally expensive and confusing as the problem size increases to hundreds or even thousands of...

An efficient zeolite‐supported nickel‐iron bimetallic heterogeneous catalyst for hydrodeoxygenation of vanillin: A lignin model compound

Abstract The selective hydrodeoxygenation (HDO) of lignin‐derived oxygenated compounds into valuable aromatic hydrocarbons is a critical step toward the sustainable valorization of renewable biomass. In this work, a cost‐effective, non‐noble metal‐based bimetallic Ni2Fe@HZSM‐5 ca...

Reprocessable Elastomeric Networks Produced via Trimesic Acid‐Induced β‐Hydroxy Ester Crosslinking of Epoxidized Natural Rubber With Tunable Mechanical Properties

ABSTRACT Trimesic acid (TMA) has been employed as a trifunctional crosslinker to develop dynamic epoxidized natural rubber (ENR) networks through zinc‐acetate‐catalyzed formation of β‐hydroxy ester linkages. Unlike conventional sulfur‐vulcanized networks, which are commonly descr...

Feasibility of millet-based gluten free and casein free diet in children with autism spectrum disorders: A 12-week pilot study in India

Background Autism spectrum disorder (ASD) is often associated with selective eating, nutritional deficiencies, and gastrointestinal (GI) disturbances. Gluten-free, casein-free (GFCF) diets are popular but inconsistently supported by evidence. Millets, naturally gluten and casein-...

Customer Engagement Practices of Two-Wheeler Electric Vehicle Startups Through Digital Platforms: A Case Study Approach in The Context of Nagpur City

The fast growth in eco-friendly transport has brought about many two-wheeler electric vehicle (EV) companies in urban India, and Nagpur City is showing signs of turning into a hub for green transportation. This research studies the digital tools used by EV startups in Nagpur to e...

Customer Engagement Practices of Two-Wheeler Electric Vehicle Startups Through Digital Platforms: A Case Study Approach in The Context of Nagpur City

The fast growth in eco-friendly transport has brought about many two-wheeler electric vehicle (EV) companies in urban India, and Nagpur City is showing signs of turning into a hub for green transportation. This research studies the digital tools used by EV startups in Nagpur to e...

Market Regime Aware Portfolio Analytics for Retail Investors Using AI Techniques

Retail participation in Indian equity markets has grown sharply over the past decade, yet regulatory data indicate that a large majority of self-directed retail traders lose money, in part because static buy-and-hold and rule-of-thumb strategies do not adapt to abrupt shifts in m...

Market Regime Aware Portfolio Analytics for Retail Investors Using AI Techniques

Retail participation in Indian equity markets has grown sharply over the past decade, yet regulatory data indicate that a large majority of self-directed retail traders lose money, in part because static buy-and-hold and rule-of-thumb strategies do not adapt to abrupt shifts in m...