• ISSN 2321-2853 (Print)
  • Monthly since 2013
  • Open access
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Author: IJRSML

  • Real-Time Collaborative Computing for Multi-Domain Digital Twins in Edge-Cloud Ecosystems

    In the burgeoning field of digital twin technology, the convergence of edge computing and cloud infrastructure presents transformative opportunities for multi-domain applications. This paper introduces a novel framework for real-time collaborative computing tailored to the demands…

  • Vol. 13, Issue 2, February 2025

    PUBLISHED: 2025-01-31     Pages Original Research Article Download Article  Download Certificate Real-Time Collaborative Computing for Multi-Domain Digital Twins in Edge-Cloud Ecosystems DOI: https://doi.org/10.63345/ijrsml.v13.i2.1 Soham Sunil Kulkarni1 & Dr. Lalit Kumar2      Download PDF 1-13…

  • Shakespeare in the Age of Social Media: Digital Reimagining of the Bard

    The body of William Shakespeare’s work has always transcended temporal, geographical, and cultural boundaries, being relevant for over four centuries. In the modern 21st century, the emergence of social networking sites has fundamentally changed the modalities…

  • Ledger Integrity Assurance: A Blockchain-Based Approach to End-of-Day Trading Reconciliation

    The end-of-day reconciliation process in financial trading plays a crucial role in ensuring the accuracy and consistency of transaction records. This process involves comparing trade details from various systems to detect discrepancies and ensure that all…

  • Advanced Patch Management and Upgrade Simulations for Scale-Out Infrastructure

    The rapid evolution of cloud-native architectures has intensified the need for efficient and scalable patch management systems. As organizations adopt scale-out infrastructure, maintaining security, compliance, and operational efficiency becomes increasingly complex. This paper investigates advanced patch…

  • Streamlining the Month-End Close Process Using Oracle Cloud Financials

    The month-end close process is a critical activity for organizations, ensuring accurate financial reporting and compliance. However, traditional methods can be time-consuming, error-prone, and inefficient. Oracle Cloud Financials offers a comprehensive solution to streamline and automate…

  • Improving Population Health Analytics with Form Analyzer Using NLP and Computer Vision

    The integration of Natural Language Processing (NLP) and Computer Vision (CV) to improve population health analytics represents a novel approach to healthcare data analysis. Traditional methods often face challenges in processing and interpreting unstructured data, such…

  • Scalable Data Pipelines for Enterprise Data Analytics

    In the era of data-driven decision-making, enterprises face the challenge of managing vast and diverse data sets to derive meaningful insights. Scalable data pipelines are essential to ensure that data flows seamlessly through various stages of…

  • Optimizing Consumer Retention Strategies Through Data-Driven Insights in Digital Marketplaces

    Consumer retention is a critical challenge in the highly competitive landscape of digital marketplaces, where customer preferences evolve rapidly and switching costs are minimal. This study explores the optimization of retention strategies by leveraging data-driven insights,…

  • AI-Driven Predictive Models for Asset Monetization

    Asset monetization has become a strategic focus fororganizations seeking to optimize their resources and maximize financial returns. With the advent of Artificial Intelligence (AI), predictive models are transforming traditional approaches to asset utilization and revenue generation.…