Vels University

Electroencephalography Changes in Emotional Recognition: A Signal Processing Approach Using Wavelet Features

Background motion recognition using electroencephalography (EEG) has gained significant attention in the fields of affective computing and human–computer interaction due to its ability to capture real-time neural responses. EEG signal variations associated with emotional states c...

Isolation structural characterization and molecular docking analysis of bioactive phytoconstituents from Hiptage madablota Gaertn root as human pancreatic lipase inhibitors

This study explores the phytochemical profile and computationally predicted interaction potential with human pancreatic lipase of the ethanol extract of Hiptage madablota Gaertn., a plant of ethnopharmacological relevance. High-performance thin-layer chromatography (HPTLC) analys...

Synergistic Ni3S2/SrMoO4/ZIF-67 ternary heterostructure as a bifunctional electrocatalyst for efficient alkaline overall water splitting

Developing cost-effective and high-performance bifunctional electrocatalysts for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) is essential for efficient alkaline water splitting. In this work, a ternary Ni 3 S 2 /SrMoO 4 /ZIF-67 (NSZcs) heterostructur...

ColonelAdaptAI a prototype guided perturbation learning framework for stable continual neural network adaptation

Continual learning has become a necessity for intelligent systems operating in dynamic environments where new tasks arrive one after another, such as in multi-task reinforcement learning. While traditional deep learning models perform exceptionally well in static settings, they s...

Structure–property correlation in a creatininium-based nonlinear optical crystal: experimental and DFT analysis

The nonlinear optical material Creatininium hydrochloride (CTHCl) was successfully synthesized as a single crystal by solvent evaporation at ambient temperature, as confirmed by XRD analysis. To deepen our understanding of the molecule’s intrinsic properties, quantum-chemical cal...

Convex Optimization Strategies for Energy‐Efficient Beamforming in Satellite Communications

ABSTRACT A trend in the design and development of beamforming has emerged as a critical issue in modern satellite communications, particularly with the emergence of low Earth orbit (LEO) satellite constellations. This paper presents a comprehensive system for energy‐efficient bea...

Adaptive timestamp based concurrency control for efficient transaction processing in permissioned blockchains

Efficient concurrency control is key on permissioned blockchain platforms like Corda, where transaction volumes are high and contention is rife. In some hotspot situations, conventional concurrency control mechanisms such as Two-Phase Locking, Optimistic Concurrency Control, Mult...

Silanized Rice‐Husk Nanosilica/ PLA ‐ PBS –Borassus Fiber Biocomposites: Balancing Tribological Durability With Soil‐Burial Biodegradation and Aerobic Mineralization

ABSTRACT Biodegradable PLA/PBS composites reinforced with lignocellulosic fibers remain limited by poor fiber–matrix compatibility, moisture sensitivity, interfacial defects, and wear. The specific knowledge gap addressed here is whether coordinated GPTMS modification of microsca...

Current Strategy for Implementing Advanced Tech to Address Multidrug Resistant Bacteria

Introduction: This review explores emerging technological strategies aimed at combating Multidrug-Resistant Bacteria (MDRB), including MRSA, CRE, and VRE. These pathogens pose a critical public health threat due to rising resistance to conventional antibiotics. The study synthesi...

Battery performance prediction using supervised learning: a comparative study

Abstract Accurate prediction of lithium-ion battery state of charge (SOC) is critical for ensuring safety, durability, and efficient energy management in electric vehicles (EVs). This study presents a systematic comparative analysis of supervised machine learning (ML) models for...