National Institute of Technology Warangal

A QMIX-driven routing protocol for dynamic Underwater Acoustic Sensor Networks

Abstract Reliable and energy-efficient data collection remains a fundamental challenge in Underwater Acoustic Sensor Networks (UASNs) owing to limited battery capacity, high propagation delay, dynamic network topology and unreliable communication links. To address these challenge...

Seqout: metadata harmonisation for public genomic data discovery

Poster presented at Genomics India Conference 2026 (https://genomicsindia.co.in/) held in Bengaluru

Numerical simulation of nonlinear wave propagation under Type-1 and Type-2 fuzzy scenarios

Purpose This research aims to create and evaluate fuzzy numerical methods to solve the coupled Whitham–Broer–Kaup equations (cWBKEs). These equations are used to study nonlinear wave movement through shallow water waves (SSW) and related models. This research aims to improve unce...

The yin–yang of coopetition: reframing paradox in business-to-business marketing

Purpose This paper reframes coopetition, the simultaneous pursuit of cooperation and competition through the lens of Taoist yin–yang philosophy. This paper advances an ontologically explicit claim: that cooperation (yin) and competition (yang) stand in a relation of mutual entail...

Revolutionizing remote monitoring for elderly care with AI-enhanced wearable biosensors using 6G communication: A systematic review

Growing aging populations around the world have increased the need for individualized and sustainable healthcare solutions. Sixth-generation (6G) communication networks, wearable biosensors, and Artificial Intelligence (AI) have come together to provide a way forward for proactiv...

Red Panda Addax Optimizer_ Bidirectional Long Short-Term Memory for cluster head selection and data aggregation in wireless sensor networks

Wireless Sensor Networks (WSNs) rely on efficient data collection and transmission, where selecting an optimal Cluster Head (CH) is critical for managing energy and ensuring reliability. However, existing methods face challenges in handling dynamic network conditions, energy pred...

Optimal control and sensitivity analysis of an SEIHR TB-COVID-19 coinfection model with cost intervention strategies

Abstract A compartmental extended SEIHR-based model is developed to simulate the transmission of TB and COVID-19. The positivity and boundedness of the model are demonstrated. The Basic Reproduction Numbers ( $$R_{0T}$$ and $$R_{0C}$$ ) are calculated for TB and COVID-19 models u...

Atomistic Insights into Gradient Architecture Driven Strengthening in Additively Manufactured Cu–Ni Stepwise Graded Structures

ABSTRACT In this study, Molecular Dynamics (MD) simulations are employed to compare the mechanical behavior of additively manufactured Cu‐Ni Functionally Graded Materials (FGMs) as a function of the functional gradient design. Two gradient architectures, a stepwise graded archite...

A coordinative flexibility trading of hydrogen storage system aggregators with energy aggregators and grid: Blockchain-enabled decentralized decision making framework

In this paper, a blockchain-enabled, decentralized, smart-contract–based decision-making strategy is proposed and implemented to optimize the provision of flexibility between energy aggregators and the distribution grid. To this end, a multi-aggregator formulation is considered f...

Experimentally validated ANN-based sustainable fault diagnosis framework for solar PV systems

Faults in solar photovoltaic (PV) arrays significantly degrade energy yield, reliability, and operational safety, particularly on the DC side where continuous energization increases fault severity. This paper presents an integrated Artificial Neural Network (ANN)-based framework...

The abscopal effect and systemic immune reprogramming: from phenomenon to therapeutic design

The classical abscopal effect is defined here as objective regression of a verified non-irradiated tumor lesion following local radiotherapy. An immune abscopal phenomenon denotes a prespecified, reproducible immune change within such a lesion that is attributable to the local in...

Oxygen-vacancy mediated charge dynamics in nano-engineered Ba/Co-doped MTiO₃ electron transport layers for enhanced organic solar cells

Engineering oxide electron-transport layers (ETLs) through defect and interfacial electronic-state control is an effective strategy for reducing charge-collection losses in inverted organic solar cells (OSCs). Herein, a hierarchical TiO₂/CoTiO₃ (CTO) bilayer ETL was developed by...

Machine learning-based prediction of bead geometry in AZ31 magnesium alloy using robotic cold metal transfer WAAM

This research proposes a machine learning (ML)-assisted framework for bead geometry analysis and optimization in cold metal transfer (CMT)-processed AZ31 magnesium parts. This work aims to predict and validate the bead geometry of single beads using ML techniques. This approach c...

Zika Endemicity Lowers the HIV Invasion Threshold: A Mathematical Model of Zika‐HIV Coinfection

ABSTRACT The coexistence of Zika virus (ZIKV) and HIV across tropical areas presents important research opportunities to examine how vector‐borne pathogens affect trends of sexually transmitted diseases. We create a detailed mathematical model that combines vector‐borne transmiss...

Marine chitinase BtChi disrupts cell wall integrity in Candida albicans and non-albicans species by chitin targeting and release of chitooligosaccharides

Abstract Increasing resistance to conventional antifungal drugs against Candida species, along with the limited availability of drug targets due to similarities between fungal and human cellular processes, necessitates alternative antifungal strategies. Chitin, a key polysacchari...

Viscoelastic behavior of UHMWPE: experimental DMA and parametric modeling

This work examines the dynamic mechanical behavior of ultra-high molecular weight polyethylene (UHMWPE) with emphasis on the influence of temperature, humidity, and aging, factors that govern its reliability in armor applications. Although UHMWPE is widely recognized for its high...

Dual Stream Regression Neural Network (DSR-Net) for shape-based parameter estimation

Standard deep learning models used for inverse problems in engineering design commonly experience difficulty in obtaining both temporal and spatial features simultaneously. In this study, a Dual-Stream Regression Network (DSR-Net) is proposed. The DSR-Net model includes a concate...

Effect of thermal exposure on the wear and phase stability of HVOF-deposited WC-17Co coatings

Wear-induced material loss is a major concern in industrial applications, driving the development of wear-resistant surface coatings. High-velocity oxy-fuel (HVOF) spraying is widely used to deposit coatings with high bond strength, low porosity, and improved wear resistance. Amo...

Experimental investigation on the shear strength, consolidation and permeability characteristics of cross-linked biopolymer-stabilized soils

This study investigates the influence of guar gum (G), xanthan gum (X), and their cross-linked blend on the shear strength and consolidation characteristics of soils with contrasting plasticity and mineralogical characteristics. Direct shear, one-dimensional consolidation, consta...