Vellore Institute of Technology University

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...

A hybrid spiking neural network with contrastive pretraining for interpretable seizure forecasting using explainable AI

Neonatal seizures remain one of the most diagnostically demanding problems in intensive care, partly because the EEG signatures are subtle and partly because expert readers miss roughly one in four events under standard monitoring conditions. We address this gap with a framework...

Synthesis, Anticancer Evaluation, mRNA Expression Analysis, and Molecular Docking of Fluorinated Picolinamide–Benzothiazole Derivatives Against Breast Cancer‐Related Genes CDK2, ERK2, and BCL2

ABSTRACT The present study focuses on the design, synthesis, characterization, and biological evaluation of two new series of derivatives 4‐(4‐amino‐3‐fluorophenoxy)‐N‐methylpicolinamide ( 3a–e ) and 2‐aminobenzothiazole ( 5a‐e ) as potential antioxidant and anticancer agents. Th...

Immunoinformatics-based design and in silico evaluation of a PstS-derived multi-epitope vaccine candidate against Salmonella typhimurium

Abstract Salmonella typhimurium is a major foodborne pathogen with increasing multidrug resistance and limited vaccine options. This study aimed to design a multi-epitope vaccine targeting the PstS protein using an immunoinformatics approach. B-cell and T-cell epitopes were predi...

Hypoxia fuels JAK/STAT-LIV1 signaling: A promising therapeutic avenue in triple-negative breast cancer

Triple-negative breast cancer remains one of the most aggressive and therapeutically challenging breast cancer subtypes because of its high metastatic potential, molecular heterogeneity and limited targeted treatment options. Hypoxia is a hallmark of TNBC tumor microenvironment a...

Effects of institutional quality and gender imbalance on carbon intensity in China

Climate change and rising carbon dioxide (CO₂) emissions remain central challenges to global sustainable development, particularly in rapidly industrializing economies such as China. This study examines the long-run association between institutional quality, gender imbalance, ren...

Dwelling in Dispossession: Caste, Ecological Alienation, and Solastalgia in Perumal Murugan’s Seasons of the Palm and Pyre

This study examines how Perumal Murugan’s Seasons of the Palm and Pyre represent the relationship between caste, ecology, and psychological suffering through the concept of solastalgia. While solastalgia is often understood in relation to environmental destruction or climate-rela...

Neuroinflammation, HPA Axis Dysregulation, Cytokine Activity and Nutritional Modulation in Depression: A PRISMA-compliant Systematic Review

Background Depression is increasingly recognized as a multisystem disorder involving interconnected neuroinflammatory, neuroendocrine, metabolic and gut–brain mechanisms rather than isolated neurotransmitter abnormalities. Emerging evidence suggests that dysregulation of cytokine...

Evaluating Quantum Advantage in Noisy Machine Learning: A Survey of Hardware Degradation, Mitigation Overhead, and Algorithmic Resilienc

Variational Quantum Algorithms (VQAs) and Quantum Neural Networks (QNNs) represent the primary frontier for near-term quantum advantage. However, physical noise channels on Noisy Intermediate-Scale Quantum (NISQ) devices severely degrade classification accuracy and deform optimiz...

Evaluating Quantum Advantage in Noisy Machine Learning: A Survey of Hardware Degradation, Mitigation Overhead, and Algorithmic Resilienc

Variational Quantum Algorithms (VQAs) and Quantum Neural Networks (QNNs) represent the primary frontier for near-term quantum advantage. However, physical noise channels on Noisy Intermediate-Scale Quantum (NISQ) devices severely degrade classification accuracy and deform optimiz...

Artificial neural network-based predictive performance estimation of novel MEMS capacitive pressure sensors with paraboloid-touched substrate architecture

Purpose This paper aims to present an intelligent micro-electro mechanical system (MEMS) estimator based on an artificial neural network (ANN) for rapid and accurate prediction of performance characteristics of a novel MEMS capacitive pressure sensor featuring a three-layer vacuu...

Fretting Wear and Corrosion Behavior of the Fe‐35Mn Biodegradable Alloy for Biomedical Applications

ABSTRACT The biodegradable Fe‐35Mn alloy has emerged as a promising material for temporary implants due to its excellent mechanical, degradation, magnetic, and biocompatibility properties. Despite these advantages, its in vivo performance can be affected by factors such as fricti...

Enhancement of mechanical and antibacterial properties of glass ionomer cement using oyster shell-derived TiO2-hydroxyapatite nanorods for dental restoration application

Glass ionomer cement (GIC) is widely used in restorative dentistry due to its capability to form a chemical bond with tooth tissue and its biocompatibility. Nevertheless, its limited mechanical strength and antibacterial capabilities hinder its long-term success in dental restora...

EvoX-Boost: a hybrid evolutionary GPU-XGBoost framework for multiclass thyroid disease classification

Timely and correct diagnosis of the thyroid disease is crucial for thyroid metabolic and cardiovascular complications. However, real-world EMR data are multivariable, heterogeneous and multi-class, which makes traditional ML models sensitive to hyperparameter configurations and c...

Efficacy of Chest Radiograph in Comparison to no Intervention in Screening for Lung Cancer in People who Smoke: A Systematic Review

ABSTRACT: Smoking is the primary risk factor for lung cancer, which remains one of the leading causes of cancer-related mortality worldwide. Although chest radiography (CXR) is widely available and inexpensive, its role in lung cancer screening remains uncertain. This systematic...

Isolated Inside and Outside: A Study of Malayalam Film Bhoothakalam as a COVID Film

ABSTRACT The COVID‐19 pandemic led to nationwide lockdowns, placing citizens under enforced isolation and quarantine. During successive waves of the outbreak, economic and esthetic production activities were undertaken in dispersed ways, with films increasingly shot and released...

Human resource management for peace and sustainability: A conceptual integration of HR practices using the TCCM and ADO frameworks

This paper presents a structured conceptual model explaining how Human Resource Management (HRM) can serve as a strategic governance mechanism linking organizational peace and sustainability. Drawing on literature identified through Scopus and Web of Science and analyzed using th...

Healthy ageing and workforce re-entry among senior citizens in India: A qualitative exploration of motivations and experiences

This study aimed to explore the motivations underlying senior citizens’ decisions to reenter the workforce in India and to examine how healthy aging, including physical, psychological, and social well-being, influences these decisions and their perceptions of meaningful employmen...

Adversarial resilience in cloud based machine learning: a unified framework for robust threat detection and forecasting

Adversarial perturbation represents an acute problem inadequately covered by current defenses that have not sufficiently secured Machine Learning-based Intrusion Detection System (IDS) running in cloud environments against evasion attacks. Namely, adversarial manipulations can be...