Vellore Institute of Technology University

ROI-aware 4D hyperchaotic encryption for fundus image privacy with Lyapunov-verified security analysis

Retinal fundus images transmitted through teleophthalmology networks carry protected health information subject to HIPAA and equivalent regulations, yet existing chaos-based encryption schemes apply uniform computational effort regardless of the clinical significance of image reg...

Infrared quantum emission and its tuning from boron-nitride nanotube fluors

Point-defected 2-D hBN based quantum light sources are highly regarded as promising candidates for emerging quantum photonic technologies. However, achieving tunable defect-induced optical emission within the infrared telecommunication window for low-loss, long-distance quantum c...

Bifurcation analysis of continuous and discrete time predator-prey models with habitat complexity

This paper investigates a predator-prey model with a Holling Type II functional response in the presence of habitat complexity. The model is formulated in continuous time and discretized using the forward Euler scheme to obtain its discrete counterpart. Fundamental dynamical prop...

CFD-based recurrent neural network modeling of plasma-assisted flow control over a stepped NACA4412 airfoil using LSTM and GRU

Abstract This study explores a hybrid computational data driven framework for analyzing and predicting unsteady aerodynamic flow behavior over a NACA4412 airfoil incorporating backward-facing step (BFS) modifications and dual alternating current dielectric barrier discharge (AC-D...

An SDG aligned bibliometric analysis of systemic sustainability integration in social entrepreneurship research

Social entrepreneurship has increasingly emerged as a strategic mechanism for addressing complex social, economic, and environmental challenges while advancing global sustainable development. As the field has expanded rapidly across multiple disciplines, a comprehensive synthesis...

Ensemble machine learning-based comparative prediction of NO2 and O3 concentrations in Bengaluru, India

Accurate prediction of urban air pollutants is essential for effective air quality management and public health protection. Although machine learning (ML) models have been widely applied to air quality prediction, limited attention has been given to systematic comparative assessm...

Incorporating optimized bamboo fiber concrete into bamboo reinforced slabs for eco-friendly structures

To enhance the tensile strength and energy absorptive properties of concrete structural members, traditional steel reinforcements are offered. But, due to excessive exploitation, this material is depleted causing enough inadequacy and high costs. On the other hand, the process of...

Explainable AI for food safety risk prediction with uncertainty quantification using RASFF data

Food safety incidents pose significant public health risks globally, necessitating robust predictive frameworks for identifying high-risk contamination notifications. This study presents an explainable artificial intelligence framework for food safety risk prediction that integra...

Artificial intelligence in cellular senescence research: a systematic review assessing methodological quality and reporting standards using PROBAST + AI and TRIPOD + AI

Cellular senescence is a fundamental mechanism of biological ageing that has emerged as a critical target for therapeutic intervention in age related diseases. The coalesce of artificial intelligence and senescence research provides unprecedented opportunities in advancing our kn...

Integrating Machine Learning Approaches and Topological Indices for Prediction of Electronic Properties in Anticancer Drugs

Abstract In this study, machine learning was used to predict electronic properties of anticancer drugs using molecular descriptors. Four machine learning models were employed to understand and predict the relationship between molecular structure and properties of the molecules. T...

Biomacromolecular Interactions, Cytotoxicity, and Theoretical Studies of Aldimine-Based Vanadyl Complexes

Abstract Four vanadyl complexes (1–4) based on methyl, nitro, chloro, and fluoro-substituted aldimine ligands, respectively, have been designed, and the structures and geometries are optimized through DFT studies. The interactions of the complexes with DNA, as per UV absorption t...

Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States

Abstract The variational quantum Eigensolver (VQE) provides a scalable route to molecular ground-state energies on near-term quantum hardware, but its accuracy degrades rapidly as system size grows because hardware-efficient ansätze cannot span the full correlation subspace. We...

Physicochemical characterization and ecological risk evaluation of surface water in a Himalayan foothill river system: A case study of the Charju River, India

The Charju River is an important freshwater resource for communities in Deomali, Arunachal Pradesh, yet its hydrochemical characteristics and environmental status remain poorly documented. This study presents an integrated assessment of physicochemical characteristics, hydrochemi...

An adaptive agentic AI framework for counterfactual validation and adversarial lookahead in automated incident response

With rapid growth in AI research, particularly with the use of large language models (LLMs), there has been swift integration of LLMs into security orchestration, automation and response (SOAR) platforms. Nevertheless, all the current tools share a major flaw in the framework, wh...

Activity removes transport arrest and restores phase separation under geometric confinement

Transport and phase separation under geometric confinement play a central role in systems ranging from intracellular organization to porous materials, yet how nonequilibrium activity reshapes collective ordering in constrained environments remains unresolved. Here we demonstrate...

A PRISMA based systematic literature review of green innovation and sustainability management in the energy sector

This paper seeks to chart and summarize the new academic area of green innovation and sustainability management of the energy industry. It tries to outline the intellectual framework, trace the development of themes, define the crucial areas of research, and specify the significa...

Temporal deep reinforcement learning with federated explainable AI for longitudinal cardiovascular risk prediction and personalized intervention recommendation

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, necessitating intelligent clinical decision-support systems capable of predicting disease progression and recommending timely personalized interventions. Existing machine learning models primarily perf...

ADAPT-Net: an adaptive dynamic attention and persistence-aware transformer for overlapping community detection in complex social networks

Overlapping community detection in dynamic complex networks is challenging because memberships evolve over time, interactions arrive irregularly, and genuine bridge roles must be distinguished from noisy multi-community assignments. The aim of this study is to develop and evaluat...

TamilLite-Gan: A lightweight graph attention network for handwritten Tamil character recognition using enhanced single shot optimization

Handwritten character recognition plays a crucial role in optical character recognition systems, particularly for low-resource and structurally complex scripts such as Tamil. Despite significant advances in deep learning, accurate recognition of handwritten Tamil characters remai...

Kinetic Insight into the Nucleation and Growth of Nickel Hydroxide Nanostructures on Conductive Ni Foam toward Advanced Hybrid Supercapacitors

Metal hydroxides have drawn immense attention as robust materials for supercapacitor electrodes with enhanced electrochemical performance, desired electroactive structural, and compositional properties. Among these hydroxides, nickel hydroxide nanostructures offer advantages over...