ISSN: 2582-8088
Journal Initials: AJMRR
Research Scope: All Disciplines in Arts, Humanities, Social Sciences, Science, Engineering, Medical, Technology
Publication Mode: Digital (On this Website)
Frequency: Bi-Monthly (6 Issues a year)
Launch Year: 2020
Review Mode: Double Blind Peer Review
Similarity Allowed: 10% (as per Turnitin)
Coverage: Global
Language: English
Vol. 1 No. 1 (2020): Asian Journal of Multidisciplinary Research & Review
Original Research Articles
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Fortifying The Edge: A Multi-Pronged Strategy To Thwart Privacy And Security Threats In Network Access Management For Resource-Constrained And Disparate Internet Of Things (IOT) Devices
Abstract Views - 489PDF Views - 0Countries Reached - 45 -
AI for Crisis Response: Real-Time Predictive Models During COVID-19 Using Cloud Event Streams
Abstract Views - 45PDF Views - 0Countries Reached - 4
Review Articles
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Assessing the Influence of Customer Relationship Management (CRM) Dimensions on Bank Sector in Sudan
Abstract Views - 446PDF Views - 0Countries Reached - 22 -
AI Integration In Precision Health - Advancements, Challenges, And Future Prospects
Abstract Views - 70PDF Views - 0Countries Reached - 6 -
Advanced Artificial Intelligence Models for Fraud Detection and Prevention in Banking: Techniques, Applications, and Real-World Case Studies
Abstract Views - 58PDF Views - 0Countries Reached - 7 -
Advanced Machine Learning Models for Risk Assessment in Travel Insurance: Techniques and Applications
Abstract Views - 55PDF Views - 0Countries Reached - 7 -
AI in Data Science for Social Media Analytics: Techniques for Sentiment Analysis, Trend Prediction, and User Behavior Analysis
Abstract Views - 85PDF Views - 0Countries Reached - 17 -
AI-Enhanced Financial Crime Detection in Banking: Techniques and Real-World Applications
Abstract Views - 61PDF Views - 0Countries Reached - 10 -
AI-Powered Solutions for Detecting Anomalies in Insurance Claims: Techniques, Tools, and Real-World Applications
Abstract Views - 19PDF Views - 0Countries Reached - 2 -
Continuous Testing Automation in DevOps: Using Machine Learning Models to Optimize Test Case Generation and Execution
Abstract Views - 47PDF Views - 0Countries Reached - 5