Amrita Vishwa Vidyapeetham

Acoustic Emission Metrology for Real-Time TIG Welding Monitoring: Spectral Characterization and Interpretability via Explainable AI

Tungsten inert gas (TIG) welding of AA5083 aluminum alloy is sensitive to heat input and shielding conditions, which can lead to defects such as porosity and burn-through that compromise weld quality. Conventional non-destructive testing methods are generally performed after weld...

Quantum neuromorphic computing: harnessing noise and adaptation for scalable quantum processors

The von Neumann bottleneck and qubit fragility limit scalable computation. This review article synthesizes recent progress in a bio-inspired quantum approach that treats noise, dissipation, and dynamics as resources, drawing from neuroscience, neuromorphic design, and quantum bio...

An Ultra-Compact Wavelet-Enhanced Hybrid Framework for Real-Time Edge Deepfake Detection: Experimental Validation on an NVIDIA Jetson Orin Nano

Deepfake manipulation has become increasingly difficult to detect as generative models continue to produce highly realistic facial content. This work presents the Frequency-Aware Lightweight Hybrid Network (FALH-Net Lite), a compact deepfake classification framework that combines...

Peak-aware short-term household electricity consumption forecasting using deep learning and transformer-based architectures

Abstract Accurate short-term prediction of domestic electricity consumption is a prerequisite for smart grid management, demand response, and peak-load reduction. This work presents a detailed deep learning analysis of the UCI household power consumption dataset, which includes m...

UltraTamNet lightweight tamil-optimized deep learning architecture for handwritten character recognition

Tamil language, derived from the Brahmi script, is one of India’s oldest languages, Malaysia, Sri Lanka, Singapore, etc., with a history spanning over 3000 years. The Tamil script is a very complex script consisting of 247 characters with various shapes, including lines, curves,...

Stochastic thermoelastic wave dynamics in triple-porous biological tissue: a fractional-order nonlocal framework

Purpose This study aims to develop a stochastic bio-thermoelastic framework to investigate heat transport and thermoelastic wave propagation in multi-porous human skin under thermal loading, incorporating thermal memory, nonlocal interactions, hierarchical porosity and stochastic...

Rheological and early-age strength performance of biomimetically synthesised chitosan-templated C–S–H seeds grown on bamboo leaf ash

Biomimetic strategies for enhancing early-age performance of cementitious composites accelerate hydration while maintaining rheological control. This study investigates the rheological and early-age strength behaviour of chitosan-templated calcium silicate hydrate (C–S–H) seeds g...

Coaxially Electrospun 1D TiO2/Au x ( X = 2.5, 5.0, 7.5) Heterojunction Nanofibers: Unveiling the Role of TiO2–Au x Interfaces in Carbon Monoxide Oxidation

Abstract A “silent killer” that threatens aerobic life, carbon monoxide (CO) pollution has increased due to the Earth’s ecological equilibrium being upset by rapid industrialization and excessive resource extraction. In this study, titanium dioxide nanofibers (TiO2) decorated wit...

Quokka swarm defensive optimization-based ensemble deep learning for disease prediction using remote monitoring data

Accurate disease prediction from patient monitoring data is essential for enabling timely clinical intervention. However, existing approaches often exhibit limited generalization and reduced robustness to noisy or incomplete physiological signals. To address the challenges, this...

Understanding persistent groundwater degradation in coastal communities through a participatory socio-hydrological framework

Groundwater is the lifeline for coastal rural communities in southern India, but it faces severe threats from complex interactions among hydrogeological processes, human behaviour and governance responses. This study adopts a socio-hydrological perspective to diagnose groundwater...

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Few-shot learning with Prototypical Networks (ProtoNets) overcomes the challenge of data scarcity in neuroradiology, but conventional ProtoNets are vulnerable to prototype drift and geometric instability attributed to high intra-class variance and magnetic resonance imaging (MRI)...

Development and characterization of an epoxy-based hybrid polymer composite modified with cashew nut shell liquid, castor oil, and aluminium nanoparticles

While conventional epoxy resins exhibit excellent mechanical properties, their inherent brittleness, lack of sustainable content, and moderate thermal performance limit their application in eco-friendly lightweight engineering. To address these limitations, this study aims to dev...

SIGMA IoT enabled sensor based embedded gesture recognition system using RISP algorithm for real time assistive communication for speech and hearing disabilities

Communication barriers faced by individuals with speech and hearing impairments continue to limit effective interaction and access to essential services. This paper presents SIGMA, an IoT-based assistive communication system implemented using a wearable smart glove equipped with...

Eco-responsive CeCo-MOF/g-C3N4 heterointerfaces for electrochemical detection of nilutamide in aquatic systems

The widespread occurrence of pharmaceutical contaminants in aquatic environments necessitates the development of sensitive and sustainable sensing platforms for environmental monitoring. In this work, a bimetallic cerium‑cobalt metal-organic framework (CeCo-MOF) integrated with t...

On the Rayleigh surface wave dynamics of porous piezo-thermoelectric smart material with spatio-temporal nonlocality and fractional higher-order three-phase-lag theory

This study examines Rayleigh-type surface wave propagation in a porous piezo-thermoelectric semi-infinite medium incorporating spatio–temporal nonlocality together with fractional higher-order three-phase-lag heat conduction. The governing equations are formulated within the fram...

Forest encroachment prediction using multi-temporal satellite data and machine learning: a case study of Bandipur National Park, India

Abstract Forest encroachment poses a significant threat to protected forest ecosystems due to increasing human activities, including infrastructure development, agricultural expansion, and settlement growth. Continuous monitoring is therefore essential for effective conservation...

Cadmium and bismuth dopants’ synergistic effect on the photocatalytic dye degradation potential of ZnO/CdO

Currently, several dyes are used in day-to-day activities, and their toxicity poses significant challenges to human health. In this study, the high negative conduction and positive valence band edge of zinc oxide (ZnO) were modified through the inclusion of Cd and Bi dopants as l...

Do Farmer-Producer Organizations increase smallholder incomes? An econometric evaluation of carrot farmers and market channel innovations in India

Abstract Background : Farmer-Producer Organizations (FPOs) have emerged as an important institutional mechanism for improving the market participation and income of smallholder farmers. However, empirical evidence on their causal impact remains limited due to potential self-selec...

Sustainability–Resilience Trade-Offs in Edge-Enabled Systems: A Comprehensive Survey

Edge-enabled Internet of Things (IoT) systems are rapidly becoming the operational substrate of mission-critical infrastructure spanning industrial automation, smart healthcare, vehicular ecosystems, and cyber–physical environments. The distributed, resource-constrained, and phys...

The Effectiveness of Mindfulness-Based Interventions in Enhancing Psychological Well-Being in Athletes: A Scoping Review of Randomised Controlled Trials

Background/Objectives: Mindfulness-based interventions (MBIs) have gained increasing attention in sport psychology due to their potential to enhance psychological well-being and performance-related outcomes among athletes. Despite various systematic reviews and meta-analyses exam...