7 papers
Multi-Granular Attention-Driven Reinforcement Learning Framework for Web Intelligent Enhancement Systems
Navin Chhibber, Deepak Singh, Anokh Kishore +2
From the past few years, web intelligent enhancement systems increasingly rely on heterogeneous and dynamic web data to deliver personalized, context-aware services. However, tradi…
TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network
Rohit Tewari, Shubhankar Shilpi, Navin Chhibber +3
In recent years, credit card fraud detection has faced significant challenges due to highly imbalanced data, evolving fraud patterns, and complex relational structures among transa…
Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model
Degala Pushpa Sri, Mayank Atreya, Lakshmi. H +2
In recent years, electronic (E) commerce services have rapidly increased in the daily lives of people, which helpsthem to purchase products online. However, retail platforms have s…
Stock Market Price Prediction using Neural Prophet with Deep Neural Network
Navin Chhibber, Sunil Khemka, Navneet Kumar Tyagi +3
Stock market price prediction is a significant interdisciplinary research domain that depends at the intersection of finance, statistics, and economics. Forecasting Accurately pred…
Cyber Threat Detection and Vulnerability Assessment System using Generative AI and Large Language Model
Keerthi Kumar. M, Swarun Kumar Joginpelly, Sunil Khemka +2
Background: Cyber-attacks have evolved rapidly in recent years, many individuals and business owners have been affected by cyber-attacks in various ways. Cyber-attacks include vari…
Quantum-Resistant Cryptographic Models for Next-Gen Cybersecurity
Navin Chhibber, Amber Rastogi, Ankur Mahida +2
Another threat is the development of large quantum computers, which have a high likelihood of breaking the high popular security protocols because it can use both Shor and Grover a…