Andhra University

AI-Enabled Intelligent Document Processing and MultiClass Classification for Electronic Document Management Systems Using Deep Feature Ensembles

Abstract- Modern enterprise workflows encounter an enormous influx of physical and digitized documentation across administrative, financial, legal, and operational domains. Conventional electronic document management systems (EDMS) depend on manual clerical sorting, rigid coordin...

Green synthesis of TiO₂ nanoparticles using allium sativum skin extract for acridine orange photocatalytic degradation: optimization via R

Green synthesis of Titanium dioxide nanoparticles (TiO 2 ) using agricultural waste presents a sustainable solution for wastewater treatment. Here, we demonstrate an eco-friendly synthesis of TiO 2 NPs utilizing garlic skin waste (Allium sativum) as a natural reducing and stabili...

A Study on Factors Influencing Customer Switching Behaviour among Mobile Phone Service Providers

ABSTRACT Purpose: The purpose of this study is to identify and assess the factors influencing customer switching behaviour among mobile phone service users, and to examine the impact of these identified factors on switching behaviour. Methodology: The study adopts a quantitative,...

A Study on Factors Influencing Customer Switching Behaviour among Mobile Phone Service Providers

ABSTRACT Purpose: The purpose of this study is to identify and assess the factors influencing customer switching behaviour among mobile phone service users, and to examine the impact of these identified factors on switching behaviour. Methodology: The study adopts a quantitative,...

Unsupervised brain tumor MRI image grouping using deep autoencoder embeddings and K-means clustering

Abstract The severity assessment of brain tumors is an important aspect of clinical decision-making. However, it often depends on expert interpretation and annotated data. The proposed framework organizes brain tumor MRI images into three latent imaging-pattern groups using deep...

A Hybrid Recommendation Framework Leveraging User Community Detection and Latent Feature Extraction for Improved Personalized Recommendations

A recommender system enhances personalization by delivering information that matches user preferences, thereby improving the overall user experience across different applications. In recommender systems, the user-item rating matrix represents user preferences for a collection of...

Hydroclimatic controls on nearshore pollution and ecosystem stress along a tropical urban coastline

Urbanizing coasts face escalating pollution from anthropogenic sources and climate change. This study provides an integrated seasonal assessment of coastal water quality along the Visakhapatnam coast, India, using a multi-index framework combining the Canadian Council of Minister...

Positive Solutions of a Fifth-Order Boundary Value Problem for Couple-Stress Porous-Channel Flow

In this paper, we study the existence of positive solutions for a nonlinear fifth-order boundary value problem arising from fully developed couple-stress fluid flow through a porous channel. Under a natural restriction relating the couple-stress and permeability parameters, the a...

Design of Deep Learning-Based Beamforming for mm-Wave Massive MIMO Systems

Millimeter waves (mmV) communication has emerged as a key enabler for wireless networks to the next generation, due to the support of ultra-high data rate with large antenna arrays. However, its practical deployment is hindered by challenges such as limited radio frequency (RF) c...

ST-HAE detects spatio-temporal anomalies in heterogeneous IoT networks under realistic class imbalance

Most intrusion detection systems (IDS) research is conducted on artificially balanced datasets. This hides a real problem: precision drops sharply under production-like conditions, where attacks can be outnumbered by benign packets hundreds to one. This paper evaluates an unsuper...

Life-stage and intra-urban heterogeneity in women's online shopping patterns: Segment-level evidence from a tier-two Indian city

Abstract- Research on women’s digital consumption in India has largely proceeded on the assumption that “women shop-pers” constitute a coherent market. This paper questions that assumption. Drawing on survey responses from 385 womenin Visakhapatnam, a rapidly digitising tier-two...

Wearable neural biosensors for early detection of neurodegenerative diseases

Neurodegenerative diseases, which include Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis, represent a growing worldwide health burden that can be attributed to the ageing of the population and the lack of effective modalities of early diagnosis. Conve...

Behavioural and cognitive determinants of financial loss and mental health deterioration following cybercrime victimisation

Abstract The rapid growth in the use of digital technologies has led to increased exposure to cybercrime, with significant financial and psychological consequences. This study examines the behavioural and cognitive factors that affect cybercrime victimisation and its outcomes. Dr...

STEM BARK FIBRE EXTRACTION AND UTILISATION FROM A WILD PLANT HELICTRES ISORA L.

AbstractThis study has aimed to document the traditional knowledge of raw fibre extraction and its utilization from stembark fibre of a wild plant species Helictres isora L. As the ecosystems are alarming on the Globe by theconsequences of all industrial, urbanizing, marketing do...