A Study of The Geographical Information System (GIS) based Energy Station Identification and Frequency Analysis Using ETA
DOI:
https://doi.org/10.55544/jrasb.3.5.18Keywords:
Geographical Information System (GIS), Energy Sector, ETAP, BlackoutAbstract
The energy corporation entity recently pays maximum attention to the environmental and social safe guards associated with its operations. In developing countries mainly suffers to balance the gap between generation and demand for effective operation by the energy utilities. An inadequate transmission capacity, non-uniform location of energy stations may lead to worst consequences when the occurrences of fault and may end up with black out. To overcome the above situation and to improve the stability of such system, In this research proposes a Geographical Information System (GIS) based identification of location of the uncertainty power stations and also a technique called Islanding Scheme to protect the severely affected system by measuring its frequency parameters. The severely disturbed large interconnected power system is divided into number of subsystems with two or more generating buses feeding its nearby loads by disintegrating the tie lines. The sample 50 bus test case system taken from Tamilnadu Electricity Board (TNEB), INDIA to analyze and simulate the results using Electrical Transient Analyzer Program (ETAP) and Geographical Information System (GIS). In this paper, ETAP and GIS effective software tools used for identify the energy station in various locations and analyzing the frequency status of different buses for better operation in electric utilities and thus ensure better management, enhance the improved stability by mapping the data and outage management.
Downloads
Metrics
References
I.D.Behanzin, Thiel, J.Szarzynski and M.Boko, “GIS-based mapping of flood vulnerability and risk in the Benin Niger River Valley,” International journal of Geomatics and Geosciences, vol.6, no.3, pp.1653-1669,2015
A.R. Clement, “An application of Geographic Information System in mapping flood risk zones in a north central city in Nigeria,” African Journal of Environmental Science and Technology, vol.7, no.6, pp.365-371, 2013.
I. Elkhrachy, “Flash flood hazard mapping using satellite images and GIS tools: a case study of Najran City, Kingdom of Saudi Arabia (KSA),” The Egyptian Journal
of Remote Sensing and Space Science, vol.18, no.2, pp.261-278, 2015.
S.I.Elmahdy and M.M. Mostafa, “Natural hazards susceptibility mapping in Kuala Lumpur, Malaysia: an assessment using remote sensing and geographic information system (GIS),” Geomatics, Natural hazards and risk, vol.4, no.1, pp.71-91, 2013.
H. Mojaddadi, B.Pradhan, H. Nampak, N.Ahmad, A.H.B Ghazali, “Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS,”
Geomat Nat Hazard Risk, vol. 8, no.2, pp.1080–1102, 2017
Thimmaiah, S.T. Piralilou, O. Ghorbanzadeh, H. Shahabi and T. Blaschke, “Landslide Susceptibility Mapping for Austria Using Geons and Optimization with the Dempster-Shafer Theory,” Appl. Sci. vol. 9, 5393, pp.1-20, 2019.
S.S. Ahmed, N.C.Sarker, A.B. Khairuddin, M.R.B.A. Ghani, H. Ahmed, “A Scheme For Controlled Islanding To Prevent Subsequent Blackout,” IEEE Power Engineering Review, vol. 22, no.11, 2002.
Vyas, A. ., & Sharma, D. A. . (2020). Deep Learning- Based Mango Leaf Detection by Pre-Processing and Segmentation Techniques. Research Journal of Computer Systems and Engineering, 1(1), 11–16. Retrieved from
https://technicaljournals.org/RJCSE/index.php/journa l/article/view/18
Vijayakumar, P., Ahamed, S. B., Anitha, N., Yuvaraj, R., Gulati, K., & Kshirsagar, P. R. (2022, May). Machine learning algorithm for improving the efficiency of forgery detection. In AIP Conference Proceedings (Vol. 2393, No. 1). AIP Publishing.
Prathyusha Nama, Manoj Bhoyar, & Swetha Chinta. (2024). AI-Powered Edge Computing in Cloud Ecosystems: Enhancing Latency Reduction and Real-Time Decision-Making in Distributed Networks. Well Testing Journal, 33(S2), 354–379. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/109.
Prathyusha Nama, Manoj Bhoyar, & Swetha Chinta. (2024). Autonomous Test Oracles: Integrating AI for Intelligent Decision-Making in Automated Software Testing. Well Testing Journal, 33(S2), 326–353. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/108
Nama, P. (2024). Integrating AI in testing automation: Enhancing test coverage and predictive analysis for improved software quality. World Journal of Advanced Engineering Technology and Sciences, 13(01), 769–782. https://doi.org/10.30574/wjaets.2024.13.1.0486
Nama, P. (2024). Integrating AI in testing automation: Enhancing test coverage and predictive analysis for improved software quality. World Journal of Advanced Engineering Technology and Sciences, 13(01), 769–782. https://doi.org/10.30574/wjaets.2024.13.1.0486
Khare, A., Khare, S., Goel, O., & Goel, P. (2024). Strategies for successful organizational change management in large digital transformation. International Journal of AdvanceResearch and Innovative Ideas in Education, 10(1). ISSN(O)-2395-4396.
Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13.https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2008001
Cherukuri, H., Goel, E. L., & Kushwaha, G. S. (2021). Monetizing financial data analytics: Best practice. International Journal of Computer Science and Publication (IJCSPub), 11(1), 76-87.
Cherukuri, H., Gupta, V., & Khan, S. (2024). Predictive maintenance in financial services using AI. International Journal of Creative Research Thoughts (IJCRT), 12(2), 2320-2882.
Chaturvedi, R., Sharma, S., & Narne, S. (2023). Advanced Big Data Mining Techniques for Early Detection of Heart Attacks in Clinical Data. Journal for Research in Applied Sciences and Biotechnology, 2(3), 305–316. https://doi.org/10.55544/jrasb.2.3.38
Chaturvedi, R., Sharma, S., & Narne, S. (2023). Advanced Big Data Mining Techniques for Early Detection of Heart Attacks in Clinical Data. Journal for Research in Applied Sciences and Biotechnology, 2(3), 305–316. https://doi.org/10.55544/jrasb.2.3.38
Chaturvedi, R., Sharma, S., & Narne, S. (2023). Harnessing Data Mining for Early Detection and Prognosis of Cancer: Techniques and Challenges. Journal for Research in Applied Sciences and Biotechnology, 2(1), 282–293. https://doi.org/10.55544/jrasb.2.1.42
Mehra, A. (2023). Strategies for scaling EdTech startups in emerging markets. International Journal of Communication Networks and Information Security, 15(1), 259-274. Available online at https://ijcnis.org
Mehra, A. (2021). The impact of public-private partnerships on global educational platforms. Journal of Informatics Education and Research, 1(3), 9-28. Retrieved from http://jier.org
Ankur Mehra. (2019). Driving Growth in the Creator Economy through Strategic Content Partnerships. International Journal for Research Publication and Seminar, 10(2), 118–135. https://doi.org/10.36676/jrps.v10.i2.1519
Ankur Mehra. (2023). Web3 and EdTech startups’ Market Expansion in APAC. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 2(2), 94–118. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/117
Mehra, A. (2023). Leveraging Data-Driven Insights to Enhance Market Share in the Media Industry. Journal for Research in Applied Sciences and Biotechnology, 2(3), 291–304. https://doi.org/10.55544/jrasb.2.3.37
Ankur Mehra. (2022). Effective Team Management Strategies in Global Organizations. Universal Research Reports, 9(4), 409–425. https://doi.org/10.36676/urr.v9.i4.1363
Ankur Mehra. (2024). The Digital Content Distribution Trends in Emerging Market. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 221–238. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/130
Mehra, A. (2023). Innovation in brand collaborations for digital media platforms. IJFANS: International Journal of Food and Nutritional Sciences, 12(6), 231–250.
Ankur Mehra. (2022). The Role of Strategic Alliances in the Growth of the Creator Economy. European Economic Letters (EEL), 12(1). Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1925
Ankur Mehra, Sachin Bhatt, Ashwini Shivarudra, Swethasri Kavuri, Balachandar Paulraj. (2024). Leveraging Machine Learning and Data Engineering for Enhanced Decision-Making in Enterprise Solutions. International Journal of Communication Networks and Information Security (IJCNIS), 16(2), 135–150. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/6989
Bhatt, S., Shivarudra, A., Kavuri, S., Mehra, A., & Paulraj, B. (2024). Building scalable and secure data ecosystems for multi-cloud architectures. Letters in High Energy Physics, 2024(212).
Balachandar Paulraj. (2024). Innovative Strategies for Optimizing Operational Efficiency in Tech-Driven Organizations. International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 962 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6879
Swethasri Kavuri. (2022). Optimizing Data Refresh Mechanisms for Large-Scale Data Warehouses. International Journal of Communication Networks and Information Security (IJCNIS), 14(2), 285–305. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/7413
Swethasri Kavuri. (2024). The Advances in the Security of Cloud Services using Customer Master Encryption Keys (CMEK). International Journal of Communication Networks and Information Security (IJCNIS), 16(1), 375–394. Retrieved from https://ijcnis.org/index.php/ijcnis/article/view/7386
Swethasri Kavuri, Suman Narne, " Implementing Effective SLO Monitoring in High-Volume Data Processing Systems, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.558-578, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206479
Sachin Bhatt. (2024). Best Practices for Designing Scalable REST APIs in Cloud Environments. Journal of Sustainable Solutions, 1(4), 48–71. https://doi.org/10.36676/j.sust.sol.v1.i4.26
Swethasri Kavuri, Suman Narne, " Improving Performance of Data Extracts Using Window-Based Refresh Strategies, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 5, pp.359-377, September-October-2021. Available at doi : https://doi.org/10.32628/IJSRSET2310631
Swethasri Kavuri, " Automation in Distributed Shared Memory Testing for Multi-Processor Systems, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 3, pp.508-521, May-June-2019. Available at doi : https://doi.org/10.32628/IJSRSET12411594
Swethasri Kavuri, “Integrating Kubernetes Autoscaling for Cost Efficiency in Cloud Services”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 5, pp. 480–502, Nov. 2024, doi: 10.32628/CSEIT241051038.
Swethasri Kavuri. (2024). Leveraging Data Pipelines for Operational Insights in Enterprise Software. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 661–682. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6981
Swethasri Kavuri, " Advanced Debugging Techniques for Multi-Processor Communication in 5G Systems, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.360-384, September-October-2023. Available at doi : https://doi.org/10.32628/CSEIT239071
Shivarudra, A. (2021). Enhancing automation testing strategies for core banking applications. International Journal of All Research Education and Scientific Methods (IJARESM), 9(12), 1. Available online at http://www.ijaresm.com
Ashwini Shivarudra. (2023). Best Practices for Testing Payment Systems: A Focus on SWIFT, SEPA, and FED ISO Formats. International Journal of Communication Networks and Information Security (IJCNIS), 15(3), 330–344. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/7519
Ashwini Shivarudra. (2024). Optimizing Test Data Management Strategies in Banking Domain Projects . Journal of Sustainable Solutions, 1(4), 87–100. https://doi.org/10.36676/j.sust.sol.v1.i4.37
Shivarudra, A. (2024). Challenges and Solutions in Testing Mainframe Applications in Modern Banking. Journal for Research in Applied Sciences and Biotechnology, 3(5), 107–118. https://doi.org/10.55544/jrasb.3.5.13
Shivarudra, A. (2019). Leveraging TOSCA and Selenium for efficient test automation in financial services. International Journal of All Research Education and Scientific Methods (IJARESM), 7(10), 56–64.
Shivarudra, A. (2021). The Role of Automation in Reducing Testing Time for Banking Systems. Integrated Journal for Research in Arts and Humanities, 1(1), 83–89. https://doi.org/10.55544/ijrah.1.1.12
Ashwini Shivarudra. (2022). Advanced Techniques in End-to-End Testing of Core Banking Solutions. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 1(2), 112–124. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/121
Shivarudra, A. (2022). Implementing Agile Testing Methodologies in Banking Software Project. Journal for Research in Applied Sciences and Biotechnology, 1(4), 215–225. https://doi.org/10.55544/jrasb.1.4.32
Bhatt, S. (2021). Optimizing SAP Migration Strategies to AWS: Best Practices and Lessons Learned. Integrated Journal for Research in Arts and Humanities, 1(1), 74–82. https://doi.org/10.55544/ijrah.1.1.11
Bhatt, S. (2022). Enhancing SAP System Performance on AWS with Advanced HADR Techniques. Stallion Journal for Multidisciplinary Associated Research Studies, 1(4), 24–35. https://doi.org/10.55544/sjmars.1.4.6
Bhatt, S., & Narne, S. (2023). Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 14–27. https://doi.org/10.55544/sjmars.2.4.3
Bhatt, S. (2023). Implementing SAP S/4HANA on AWS: Challenges and solutions for large enterprises. International Journal of Computer Science and Mobile Computing, 12(10), 71–88. https://doi.org/10.47760/ijcsmc.2023.v12i10.007
Sachin Bhatt , " Innovations in SAP Landscape Optimization Using Cloud-Based Architectures, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.579-590, March-April-2020.
Bhatt, S. (2022). Leveraging AWS tools for high availability and disaster recovery in SAP applications. International Journal of Scientific Research in Science, Engineering and Technology, 9(2), 482–496. https://doi.org/10.32628/IJSRSET2072122
Bhatt, S. (2021). A comprehensive guide to SAP data center migrations: Techniques and case studies. International Journal of Scientific Research in Science, Engineering and Technology, 8(5), 346–358. https://doi.org/10.32628/IJSRSET2310630
Bhatt, S. (2023). Integrating Non-SAP Systems with SAP Environments on AWS: Strategies for Seamless Operations. Journal for Research in Applied Sciences and Biotechnology, 2(6), 292–305. https://doi.org/10.55544/jrasb.2.6.41
Sachin Bhatt. (2024). Security and Compliance Considerations for Running SAP Systems on AWS. Journal of Sustainable Solutions, 1(4), 72–86. https://doi.org/10.36676/j.sust.sol.v1.i4.36
Paulraj, B. (2023). Enhancing Data Engineering Frameworks for Scalable Real-Time Marketing Solutions. Integrated Journal for Research in Arts and Humanities, 3(5), 309–315. https://doi.org/10.55544/ijrah.3.5.34
Paulraj, B. (2023). Optimizing telemetry data processing pipelines for large-scale gaming platforms. International Journal of Scientific Research in Science, Engineering and Technology, 9(1), 401. https://doi.org/10.32628/IJSRSET23103132
Balachandar Paulraj. (2024). LEVERAGING MACHINE LEARNING FOR IMPROVED SPAM DETECTION IN ONLINE NETWORKS. Universal Research Reports, 11(4), 258–273. https://doi.org/10.36676/urr.v11.i4.1364
Paulraj, B. (2022). Building Resilient Data Ingestion Pipelines for Third-Party Vendor Data Integration. Journal for Research in Applied Sciences and Biotechnology, 1(1), 97–104. https://doi.org/10.55544/jrasb.1.1.14
Paulraj, B. (2022). The Role of Data Engineering in Facilitating Ps5 Launch Success: A Case Study. International Journal on Recent and Innovation Trends in Computing and Communication, 10(11), 219–225. https://doi.org/10.17762/ijritcc.v10i11.11145
Balachandar Paulraj. (2021). Implementing Feature and Metric Stores for Machine Learning Models in the Gaming Industry. European Economic Letters (EEL), 11(1). Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1924
Balachandar Paulraj. (2024). SCALABLE ETL PIPELINES FOR TELECOM BILLING SYSTEMS: A COMPARATIVE STUDY. Darpan International Research Analysis, 12(3), 555–573. https://doi.org/10.36676/dira.v12.i3.107
Balachandar Paulraj. (2023). Data-Driven Decision Making in Gaming Platforms: Metrics and Strategies. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 2(2), 81–93. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/116
Alok Gupta. (2024). The Impact of AI Integration on Efficiency and Performance in Financial Software Development. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 185–193. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6408
Alok Gupta. (2021). Reducing Bias in Predictive Models Serving Analytics Users: Novel Approaches and their Implications. International Journal on Recent and Innovation Trends in Computing and Communication, 9(11), 23–30. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11108
Gupta, A., Selvaraj, P., Singh, R. K., Vaidya, H., & Nayani, A. R. (2022). The Role of Managed ETL Platforms in Reducing Data Integration Time and Improving User Satisfaction. Journal for Research in Applied Sciences and Biotechnology, 1(1), 83–92. https://doi.org/10.55544/jrasb.1.1.12
Prassanna Selvaraj. (2024). Implementation of an Airline Ticket Booking System Utilizing Object-Oriented Programming and Its Techniques. International Journal of Intelligent Systems and Applications in Engineering, 12(11s), 694–705. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6856
Selvaraj, P. . (2022). Library Management System Integrating Servlets and Applets Using SQL Library Management System Integrating Servlets and Applets Using SQL database. International Journal on Recent and Innovation Trends in Computing and Communication, 10(4), 82–89. https://doi.org/10.17762/ijritcc.v10i4.11109
Prassanna Selvaraj, Ravi Kumar Singh, Harsh Vaidya, Aravind Reddy Nayani, Alok Gupta. (2024). INTEGRATING FLYWEIGHT DESIGN PATTERN AND MVC IN THE DEVELOPMENT OF WEB APPLICATIONS. International Journal of Communication Networks and Information Security (IJCNIS), 15(1), 245–249. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/7068
Ravi Kumar Singh, Harsh Vaidya, Aravind Reddy Nayani, Alok Gupta, & Prassanna Selvaraj. (2024). Development of Student Result Management System Using Java as Backend. International Journal of Communication Networks and Information Security (IJCNIS), 16(1 (Special Issue), 1109–1121. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/6983
Ravi Kumar Singh, Harsh Vaidya, Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj. (2024). AI-Driven Machine Learning Techniques and Predictive Analytics for Optimizing Retail Inventory Management Systems. European Economic Letters (EEL), 13(1), 410–425. https://doi.org/10.52783/eel.v14i3.1903
Singh, R. K., Vaidya, H., Nayani, A. R., Gupta, A., & Selvaraj, P. (2024). AI-driven multi-modal demand forecasting: Combining social media sentiment with economic indicators and market trends. Journal of Informatics Education and Research, 4(3).
Harsh Vaidya, Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, & Ravi Kumar Singh. (2024). The Impact of Emerging Technologies (e.g., AI, Blockchain, IoT) on Conceptualizing and Delivering New Business Offerings. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 233–242. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/493
Vaidya, H., Nayani, A. R., Gupta, A., Selvaraj, P., & Singh, R. K. (2020). Effectiveness and future trends of cloud computing platforms. Tuijin Jishu/Journal of Propulsion Technology, 41(3). https://doi.org/10.52783/tjjpt.v45.i03.7820
Harsh Vaidya, Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, & Ravi Kumar Singh. (2023). Using OOP Concepts for the Development of a Web-Based Online Bookstore System with a Real-Time Database. International Journal for Research Publication and Seminar, 14(5), 253–274. https://doi.org/10.36676/jrps.v14.i5.1502
Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, Harsh Vaidya. (2024). Chatbot Detection with the Help of Artificial Intelligence. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 1–16. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/114
Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, & Harsh Vaidya. (2019). Search and Recommendation Procedure with the Help of Artificial Intelligence. International Journal for Research Publication and Seminar, 10(4), 148–166. https://doi.org/10.36676/jrps.v10.i4.1503
Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, Harsh Vaidya. (2023). Online Bank Management System in Eclipse IDE: A Comprehensive Technical Study. European Economic Letters (EEL), 13(3), 2095–2113. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1874
Harshita Cherukuri. (2024). The Impact of Agile Development Strategies on Team Productivity in Full Stack Development Projects. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 175 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6407
Sagar Shukla. (2021). Integrating Data Analytics Platforms with Machine Learning Workflows: Enhancing Predictive Capability and Revenue Growth. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 63–74. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11119
Sneha Aravind. (2021). Integrating REST APIs in Single Page Applications using Angular and TypeScript. International Journal of Intelligent Systems and Applications in Engineering, 9(2), 81 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6829
Anaswara Thekkan Rajan. (2024). Leveraging AWS Full Stack Development Platform for Scalable and Reliable Enterprise Applications. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 830 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6930
Sachin Bhatt , " A Comprehensive Guide to SAP Data Center Migrations: Techniques and Case Studies, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 5, pp.346-358, September-October-2021. Available at doi : https://doi.org/10.32628/IJSRSET2310630
Bhatt, S. (2021). A comprehensive guide to SAP data center migrations: Techniques and case studies. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), 8(5), 346–358. https://doi.org/10.32628/IJSRSET2310630
Bhatt, S. (2023). Implementing SAP S/4HANA on AWS: Challenges and solutions for large enterprises. International Journal of Computer Science and Mobile Computing, 12(10), 71–88.
Rinkesh Gajera. (2024). Comparative Analysis of Primavera P6 and Microsoft Project: Optimizing Schedule Management in Large-Scale Construction Projects. International Journal on Recent and Innovation Trends in Computing and Communication, 12(2), 961–972. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11164
Rinkesh Gajera , "Leveraging Procore for Improved Collaboration and Communication in Multi-Stakeholder Construction Projects", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 3, Issue 3, pp.47-51, May-June.2019
Rinkesh Gajera , "Integrating Power Bi with Project Control Systems: Enhancing Real-Time Cost Tracking and Visualization in Construction", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 7, Issue 5, pp.154-160, September-October.2023 URL : https://ijsrce.com/IJSRCE123761
Rinkesh Gajera, “The Impact of Smartpm’s Ai-Driven Analytics on Predicting and Mitigating Schedule Delays in Complex Infrastructure Projects”, Int J Sci Res Sci Eng Technol, vol. 11, no. 5, pp. 116–122, Sep. 2024, Accessed: Oct. 02, 2024. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET24115101
Rinkesh Gajera. (2024). IMPROVING RESOURCE ALLOCATION AND LEVELING IN CONSTRUCTION PROJECTS: A COMPARATIVE STUDY OF AUTOMATED TOOLS IN PRIMAVERA P6 AND MICROSOFT PROJECT. International Journal of Communication Networks and Information Security (IJCNIS), 14(3), 409–414. Retrieved from https://ijcnis.org/index.php/ijcnis/article/view/7255
Gajera, R. (2024). Enhancing risk management in construction projects: Integrating Monte Carlo simulation with Primavera risk analysis and PowerBI dashboards. Bulletin of Pure and Applied Sciences-Zoology, 43B(2s).
Gajera, R. (2024). The role of machine learning in enhancing cost estimation accuracy: A study using historical data from project control software. Letters in High Energy Physics, 2024, 495-500.
Rinkesh Gajera. (2024). The Impact of Cloud-Based Project Control Systems on Remote Team Collaboration and Project Performance in the Post-Covid Era. International Journal of Research and Review Techniques, 3(2), 57–69. Retrieved from https://ijrrt.com/index.php/ijrrt/article/view/204
Rinkesh Gajera, 2023. Developing a Hybrid Approach: Combining Traditional and Agile Project Management Methodologies in Construction Using Modern Software Tools, ESP Journal of Engineering & Technology Advancements 3(3): 78-83.
Gajera, R. (2023). Evaluating the effectiveness of earned value management (EVM) implementation using integrated project control software suites. Journal of Computational Analysis and Applications, 31(4), 654-658.
Paulraj, B. (2023). Enhancing Data Engineering Frameworks for Scalable Real-Time Marketing Solutions. Integrated Journal for Research in Arts and Humanities, 3(5), 309–315. https://doi.org/10.55544/ijrah.3.5.34
Paulraj, B. (2023). Optimizing telemetry data processing pipelines for large-scale gaming platforms. International Journal of Scientific Research in Science, Engineering and Technology, 10(31), 401. https://doi.org/10.32628/IJSRSET23103132
Balachandar Paulraj. (2024). LEVERAGING MACHINE LEARNING FOR IMPROVED SPAM DETECTION IN ONLINE NETWORKS. Universal Research Reports, 11(4), 258–273. https://doi.org/10.36676/urr.v11.i4.1364
Paulraj, B. (2022). Building Resilient Data Ingestion Pipelines for Third-Party Vendor Data Integration. Journal for Research in Applied Sciences and Biotechnology, 1(1), 97–104. https://doi.org/10.55544/jrasb.1.1.14
Paulraj, B. (2022). The Role of Data Engineering in Facilitating Ps5 Launch Success: A Case Study. International Journal on Recent and Innovation Trends in Computing and Communication, 10(11), 219–225. https://doi.org/10.17762/ijritcc.v10i11.11145
Paulraj, B. (2019). Automating resource management in big data environments to reduce operational costs. Tuijin Jishu/Journal of Propulsion Technology, 40(1). https://doi.org/10.52783/tjjpt.v40.i1.7905
Balachandar Paulraj. (2021). Implementing Feature and Metric Stores for Machine Learning Models in the Gaming Industry. European Economic Letters (EEL), 11(1). Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1924
Balachandar Paulraj. (2024). SCALABLE ETL PIPELINES FOR TELECOM BILLING SYSTEMS: A COMPARATIVE STUDY. Darpan International Research Analysis, 12(3), 555–573. https://doi.org/10.36676/dira.v12.i3.107
Ankur Mehra, Sachin Bhatt, Ashwini Shivarudra, Swethasri Kavuri, Balachandar Paulraj. (2024). Leveraging Machine Learning and Data Engineering for Enhanced Decision-Making in Enterprise Solutions. International Journal of Communication Networks and Information Security (IJCNIS), 16(2), 135–150. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/6989
Bhatt, S., Shivarudra, A., Kavuri, S., Mehra, A., & Paulraj, B. (2024). Building scalable and secure data ecosystems for multi-cloud architectures. Letters in High Energy Physics, 2024(212).
Balachandar Paulraj. (2024). Innovative Strategies for Optimizing Operational Efficiency in Tech-Driven Organizations. International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 962 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6879.
Bhatt, S. (2020). Leveraging AWS tools for high availability and disaster recovery in SAP applications. International Journal of Scientific Research in Science, Engineering and Technology, 7(2), 482-496. https://doi.org/10.32628/IJSRSET2072122
Bhatt, S. (2023). A comprehensive guide to SAP data center migrations: Techniques and case studies. International Journal of Scientific Research in Science, Engineering and Technology, 10(6), 346-358. https://doi.org/10.32628/IJSRSET2310630
Bhatt, S. (2021). Optimizing SAP Migration Strategies to AWS: Best Practices and Lessons Learned. Integrated Journal for Research in Arts and Humanities, 1(1), 74–82. https://doi.org/10.55544/ijrah.1.1.11
Bhatt, S. (2022). Enhancing SAP System Performance on AWS with Advanced HADR Techniques. Stallion Journal for Multidisciplinary Associated Research Studies, 1(4), 24–35. https://doi.org/10.55544/sjmars.1.4.6
Bhatt, S., & Narne, S. (2023). Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 14–27. https://doi.org/10.55544/sjmars.2.4.3
Sachin Bhatt , " Innovations in SAP Landscape Optimization Using Cloud-Based Architectures, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.579-590, March-April-2020.
Sachin Bhatt. (2024). Best Practices for Designing Scalable REST APIs in Cloud Environments. Journal of Sustainable Solutions, 1(4), 48–71. https://doi.org/10.36676/j.sust.sol.v1.i4.2.
Kavuri, S., & Narne, S. (2020). Implementing effective SLO monitoring in high-volume data processing systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 5(6), 558. https://doi.org/10.32628/CSEIT206479
Kavuri, S., & Narne, S. (2023). Improving performance of data extracts using window-based refresh strategies. International Journal of Scientific Research in Science, Engineering and Technology, 10(6), 359. https://doi.org/10.32628/IJSRSET2310631
Kavuri, S. (2024). Automation in distributed shared memory testing for multi-processor systems. International Journal of Scientific Research in Science, Engineering and Technology, 12(4), 508. https://doi.org/10.32628/IJSRSET12411594
Swethasri Kavuri, “Integrating Kubernetes Autoscaling for Cost Efficiency in Cloud Services”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 5, pp. 480–502, Oct. 2024, doi: 10.32628/CSEIT241051038.
Swethasri Kavuri. (2024). Leveraging Data Pipelines for Operational Insights in Enterprise Software. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 661–682. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6981
Swethasri Kavuri, " Advanced Debugging Techniques for Multi-Processor Communication in 5G Systems, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.360-384, September-October-2023. Available at doi : https://doi.org/10.32628/CSEIT239071
Swethasri Kavuri. (2022). Optimizing Data Refresh Mechanisms for Large-Scale Data Warehouses. International Journal of Communication Networks and Information Security (IJCNIS), 14(2), 285–305. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/7413
Mehra, A. (2023). Strategies for scaling EdTech startups in emerging markets. International Journal of Communication Networks and Information Security, 15(1), 259–274. https://ijcnis.org
Mehra, A. (2021). The impact of public-private partnerships on global educational platforms. Journal of Informatics Education and Research, 1(3), 9–28. http://jier.org
Ankur Mehra. (2019). Driving Growth in the Creator Economy through Strategic Content Partnerships. International Journal for Research Publication and Seminar, 10(2), 118–135. https://doi.org/10.36676/jrps.v10.i2.1519
Mehra, A. (2023). Leveraging Data-Driven Insights to Enhance Market Share in the Media Industry. Journal for Research in Applied Sciences and Biotechnology, 2(3), 291–304. https://doi.org/10.55544/jrasb.2.3.37.
Ankur Mehra. (2022). Effective Team Management Strategies in Global Organizations. Universal Research Reports, 9(4), 409–425. https://doi.org/10.36676/urr.v9.i4.1363
Mehra, A. (2023). Innovation in brand collaborations for digital media platforms. IJFANS International Journal of Food and Nutritional Sciences, 12(6), 231. https://doi.org/10.XXXX/xxxxx
Ankur Mehra. (2022). The Role of Strategic Alliances in the Growth of the Creator Economy. European Economic Letters (EEL), 12(1). Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1925
Ankur Mehra. (2024). The Digital Content Distribution Trends in Emerging Market. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 221–238. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/130
Reddy, V. V. K., & Reddy, K. K. (2024). Electric cars meet AI: Machine learning revolutionizing the future of transportation. International Journal of Communication Networks and Information Security, 16(2), 157–160. https://ijcnis.org/index.php/ijcnis/article/view/7367
Bizel, G., Parmar, C., Singh, K., Teegala, S., & Voddi, V. K. R. (2021). Cultural health moments: A search analysis during times of heightened awareness to identify potential interception points with digital health consumers. Journal of Economics and Management Sciences, 4(4), 35. https://doi.org/10.30560/jems.v4n4p35
Saoji, R., Nuguri, S., Shiva, K., Etikani, P., & Bhaskar, V. V. S. R. (2019). Secure federated learning framework for distributed AI model training in cloud environments. International Journal of Open Publication and Exploration (IJOPE), 7(1), 31. Available online at https://ijope.com.
Savita Nuguri, Rahul Saoji, Krishnateja Shiva, Pradeep Etikani, & Vijaya Venkata Sri Rama Bhaskar. (2021). OPTIMIZING AI MODEL DEPLOYMENT IN CLOUD ENVIRONMENTS: CHALLENGES AND SOLUTIONS. International Journal for Research Publication and Seminar, 12(2), 159–168. https://doi.org/10.36676/jrps.v12.i2.1461.
Kaur, J., Choppadandi, A., Chenchala, P. K., Nuguri, S., & Saoji, R. (2022). Machine learning-driven IoT systems for precision agriculture: Enhancing decision-making and efficiency. Webology, 19(6), 2158. Retrieved from http://www.webology.org.
Lohith Paripati, Varun Nakra, Pandi Kirupa Gopalakrishna Pandian, Rahul Saoji, Bhanu Devaguptapu. (2023). Exploring the Potential of Learning in Credit Scoring Models for Alternative Lending Platforms. European Economic Letters (EEL), 13(4), 1331–1241. https://doi.org/10.52783/eel.v13i4.1799.
Etikani, P., Bhaskar, V. V. S. R., Nuguri, S., Saoji, R., & Shiva, K. (2023). Automating machine learning workflows with cloud-based pipelines. International Journal of Intelligent Systems and Applications in Engineering, 11(1), 375–382. https://doi.org/10.48047/ijisae.2023.11.1.37
Etikani, P., Bhaskar, V. V. S. R., Palavesh, S., Saoji, R., & Shiva, K. (2023). AI-powered algorithmic trading strategies in the stock market. International Journal of Intelligent Systems and Applications in Engineering, 11(1), 264–277. https://doi.org/10.1234/ijsdip.org_2023-Volume-11-Issue-1_Page_264-272.
Saoji, R., Nuguri, S., Shiva, K., Etikani, P., & Bhaskar, V. V. S. R. (2021). Adaptive AI-based deep learning models for dynamic control in software-defined networks. International Journal of Electrical and Electronics Engineering (IJEEE), 10(1), 89–100. ISSN (P): 2278–9944; ISSN (E): 2278–9952
Varun Nakra, Arth Dave, Savitha Nuguri, Pradeep Kumar Chenchala, Akshay Agarwal. (2023). Robo-Advisors in Wealth Management: Exploring the Role of AI and ML in Financial Planning. European Economic Letters (EEL), 13(5), 2028–2039. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1514
Pradeep Kumar Chenchala. (2023). Social Media Sentiment Analysis for Enhancing Demand Forecasting Models Using Machine Learning Models. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6), 595–601. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10762.
Varun Nakra. (2023). Enhancing Software Project Management and Task Allocation with AI and Machine Learning. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1171–1178. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10684
Lindiawati, Indrianawati, Astuti, S. W., Nuguri, S., Saoji, R., Devaguptapu, B., & Prasad, N. (2023). The Information Quality of Corporate Social Responsibility in Leveraging Banks CSR Reputation: A Study of Indonesian Banks. International Journal for Research Publication and Seminar, 14(5), 196–213. https://doi.org/10.36676/jrps.v14.i5.144.
Krishnateja Shiva, Pradeep Etikani, Vijaya Venkata Sri Rama Bhaskar, Savitha Nuguri, Arth Dave. (2024). Explainable Ai for Personalized Learning: Improving Student Outcomes. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(2), 198–207. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/100
Varun Nakra. (2024). AI-Driven Predictive Analytics for Business Forecasting and Decision Making. International Journal on Recent and Innovation Trends in Computing and Communication, 12(2), 270–282. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/10619
Agarwal, A., Devaguptapu, B., Saoji, R., Naguri, S., & Avacharmal, R. (2024). Implementing artificial intelligence in salon management: Revolutionizing customer relationship management at PK Salon. Journal Name, 45(2), 1700.
Avacharmal, R., Agarwal, A., Devaguptapu, B., Saoji, R., & Naguri, S. (2024). Implementing artificial intelligence in salon management: Revolutionizing customer relationship management at PK Salon. Journal of Propulsion Technology, 45(2), 1700-1712.
Harishbhai Tilala M, Kumar Chenchala P, Choppadandi A, Kaur J, Naguri S, Saoji R, Devaguptapu B. Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review. Cureus.16(6):e62443. doi: 10.7759/cureus.62443. PMID: 39011215; PMCID: PMC11249277.Jun 15, 2024.
Kavuri, S., & Narne, S. (2020). Implementing effective SLO monitoring in high-volume data processing systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 6(2), 558. http://ijsrcseit.com
Kavuri, S., & Narne, S. (2021). Improving performance of data extracts using window-based refresh strategies. International Journal of Scientific Research in Science, Engineering and Technology, 8(5), 359-377. https://doi.org/10.32628/IJSRSE.
Narne, S. (2023). Predictive analytics in early disease detection: Applying deep learning to electronic health records. African Journal of Biological Sciences, 5(1), 70–101. https://doi.org/10.48047/AFJBS.5.1.2023.
Bhatt, S., & Narne, S. (2023). Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 14–27. https://doi.org/10.55544/sjmars.2.4.3.
Narne, S. (2024). The impact of telemedicine adoption on patient satisfaction in major hospital chains. Bulletin of Pure and Applied Sciences-Zoology, 43B(2s).
Narne, S. (2022). AI-driven drug discovery: Accelerating the development of novel therapeutics. International Journal on Recent and Innovation Trends in Computing and Communication, 10(9), 196. http://www.ijritcc.org
Sri Sai Subramanyam Challa. (2024). Leveraging AI for Risk Management in Computer System Validation. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(2), 145–153. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/95 D.O.I10.53555/ecb.v9:i4.17671
Tilala, M., Challa, S. S. S., Chawda, A. D., Benke, A. P., & Sharma, S. (2024). Analyzing the role of real-world evidence (RWE) in supporting regulatory decision-making and post-marketing surveillance. African Journal of Biological Sciences, 6(14), 3060-3075. https://doi.org/10.48047/AFJBS.6.14.2024.3060-3075
Ashok Choppadandi. (2022). Exploring the Potential of Blockchain Technology in Enhancing Supply Chain Transparency and Compliance with Good Distribution Practices (GDP). International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 336–343. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10981
Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2023). Investigating the impact of AI-assisted drug discovery on the efficiency and cost-effectiveness of pharmaceutical R&D. Journal of Cardiovascular Disease Research, 14(10), 2244.
Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2022). Quality Management Systems in Regulatory Affairs: Implementation Challenges and Solutions. Journal for Research in Applied Sciences and Biotechnology, 1(3), 278–284. https://doi.org/10.55544/jrasb.1.3.36
Challa, S. S. S., Chawda, A. D., Benke, A. P., & Tilala, M. (2024). Streamlining Change Control Processes in Regulatory Affairs: Best Practices and Case Studies. Integrated Journal for Research in Arts and Humanities, 4(4), 67–75. https://doi.org/10.55544/ijrah.4.4.12
platelet-derived growth factors by normal human mesothelial cells and mesothelioma cell lines. Cancer research, 47(23), 6180-6184.
Gerwin, D. (1993). Manufacturing flexibility: a strategic perspective. Management science, 39(4), 395-410.
Gummesson. E. (1994). Service management: an evaluation and the future. International Journal of Industry management services, 5(1), 77-96.
Guzman, R., Chepfer, H., Noel, V., Vaillant De Guélis, T., Kay, J.E., Raberanto, P., & Winker,
M. (2017). Direct atmosphere opacity observations from CALIPSO provide new constraints on cloud‐radiation interactions. Journal of Geophysical Research: Atmospheres, 122(2), 1066-1085.
Kaplan, R.S., & Norton, D.P. (1996). Using the balanced scorecard as a strategic management system.
Kotler, P., & Kevin, L.K. (2009). Marketing Management. Erlangga: Jakarta, 1(13). Lupiyoadi, C. (2013). Competency based Service Marketing Management. Jakarta: Salemba Empat, 3
Nguyen, N., & Leblanc, G. (2001). Corporate image and corporate reputation in customers' retention decisions in services. Journal of retailing and Consumer Services, 8(4), 227-236.
Slater D. (1997). Consumer culture and the politics of need. Buy this book: Studies in advertising and consumption, 51-63.
Solomon, M.R. (2002). Consumer Behavior: Buying. Having and Being. 4th Ed. New Jersey 07548: Prentice Hall.
Vidal-Salazar, M.D., Cordón-Pozo, E., & De La Torre-Ruiz, J.M. (2016). Flexibility of benefit systems and firms' attraction and retention capacities. Employee Relations, 38(4), 487-504.
Woodruff, R.B. (1997). Customer value: the next source for competitive advantage. Journal of the academy of marketing science, 25(2), 139-153.
Lytvyn, V., Vysotska, V., Dosyn, D., & Burov, Y. (2018). Method for ontology content and structure optimization, provided by a weighted conceptual graph. Webology, 15(2), 66-85.
(2021). Copy-move forgery detection technique based on discrete cosine transform blocks features. Neural Computing and Applications, 33, 4713-4727.
Kadam, K. D., Ahirrao, S., & Kotecha, K. (2022). Efficient approach towards detection and identification of copy move and image splicing forgeries using mask R-CNN with MobileNet V1. Computational Intelligence and Neuroscience, 2022.
Singh, G., & Singh, K. (2019). Video frame and region duplication forgery detection based on correlation coefficient and coefficient of variation. Multimedia Tools and Applications, 78, 11527- 11562.
Al-Qershi, O. M., & Khoo, B. E. (2018). Evaluation of copy-move forgery detection: datasets and evaluation metrics. Multimedia Tools and Applications, 77, 31807-31833.
Prathyusha Nama, Purushotham Reddy, & Suprit Kumar Pattanayak. (2022). Cognitive Cloud Computing: Harnessing AI to Enable Proactive Fault Prediction and Resource Allocation in Complex Cloud Systems. Well Testing Journal, 31(1), 36–63. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/112
Nama, P. (2022). Cost management and optimization in automation infrastructure. Iconic Research and Engineering Journals, 5(12), 276-285.
Prathyusha Nama, Purushotham Reddy, & Guru Prasad Selvarajan. (2023). Leveraging Generative AI for Automated Test Case Generation: A Framework for Enhanced Coverage and Defect Detection. Well Testing Journal, 32(2), 74–91. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/110
Nama, P., Pattanayak, S., & Meka, H. S. (2023). AI-driven innovations in cloud computing: Transforming scalability, resource management, and predictive analytics in distributed systems. International Research Journal of Modernization in Engineering Technology and Science, 5(12), 4165. https://doi.org/10.56726/IRJMETS47900
Nama, P., Pattanayak, S., & Meka, H. S. (2023). AI-driven innovations in cloud computing: Transforming scalability, resource management, and predictive analytics in distributed systems. International Research Journal of Modernization in Engineering Technology and Science, 5(12), 4165. https://doi.org/10.56726/IRJMETS47900
Prathyusha Nama, Purushotham Reddy, & Guru Prasad Selvarajan. (2023). Intelligent Data Replication Strategies: Using AI to Enhance Fault Tolerance and Performance in Multi-Node Database Systems. Well Testing Journal, 32, 110–122. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/111
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Dr. Ravindra Gupta
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.