Improving Fraud Detection in Financial Transactions using Machine Learning
Abstract
References
Whig, P., & Ahmad, S. N. (2014d). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.
Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.
Whig, P., Nadikattu, R. R., & Velu, A. (2022). COVID-19 pandemic analysis using application of AI. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 1.
Whig, P., Velu, A., & Bhatia, A. B. (2022). Protect Nature and Reduce the Carbon Footprint With an Application of Blockchain for IIoT. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 123–142). IGI Global.
Whig, P., Velu, A., & Naddikatu, R. R. (2022). The Economic Impact of AI-Enabled Blockchain in 6G-Based Industry. In AI and Blockchain Technology in 6G Wireless Network (pp. 205–224). Springer, Singapore.
Whig, P., Velu, A., & Nadikattu, R. R. (2022). Blockchain Platform to Resolve Security Issues in IoT and Smart Networks. In AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems (pp. 46–65). IGI Global.
Whig, P., Velu, A., & Ready, R. (2022). Demystifying Federated Learning in Artificial Intelligence With Human-Computer Interaction. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 94–122). IGI Global.
Whig, P., Velu, A., & Sharma, P. (2022). Demystifying Federated Learning for Blockchain: A Case Study. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 143–165). IGI Global.
Kolla, Venkata Ravi Kiran, A Comparative Analysis of OS Forensics Tools (April 2, 2022). International Journal of Research in IT and Management (IJRIM), Vol. 12 Issue 4, April- 2022 , Available at SSRN: https://ssrn.com/abstract=4413730
Kolla, Venkata Ravi Kiran, Emojify: A Deep Learning Approach for Custom Emoji Creation and Recognition (January 11, 2021). International Journal of Creative Research Thoughts, 2021, Available at SSRN: https://ssrn.com/abstract=4413719
Kolla, Venkata Ravi Kiran, Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling (September 6, 2015). International Journal of Electronics and Communication Engineering & Technology, 2015, Available at SSRN: https://ssrn.com/abstract=4413723
Kolla, Venkata Ravi Kiran, A Secure Artificial Intelligence Agriculture Monitoring System (July 31, 2021). JounalNX, 2021, Available at SSRN: https://ssrn.com/abstract=4413466
Kolla, Venkata Ravi Kiran, Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification (December 20, 2020). International Journal of Computer Engineering and Technology, 2020, Available at SSRN: https://ssrn.com/abstract=4413724
Kolla, Venkata Ravi Kiran, Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction (December 1, 2020). International Research Journal of Mathematics, Engineering and IT, Volume 7, Issue 12, December 2020, Available at SSRN: https://ssrn.com/abstract=4413732
Kolla, Venkata Ravi Kiran, Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction (December 01, 2018). International Journal in IT & Engineering (IJITE), 2018, Available at SSRN: https://ssrn.com/abstract=4413727
Kolla, Venkata Ravi Kiran, Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling (December 30, 2016). International Journal of Information Technology & Management Information System, 2016, Available at SSRN: https://ssrn.com/abstract=4413726
Kolla, Venkata Ravi Kiran, Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques (August 1, 2016). International Journal of Creative Research Thoughts, 2016, Available at SSRN: https://ssrn.com/abstract=4413716
Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150
Meenigea, N. (2014). Type 2 Diabetes mellitus treatment intensification and deintensification. Transaction on Recent Devlopment in Industrial IoT, 6 (6).
Meenigea, N. (2022). Evaluation of antioxidant potential and antimicrobial activity. Transactions on Latest Trends in Health Sector, 14(14). Retrieved from https://ijsdcs.com/index.php/TLHS/article/view/269
Meenigea, N. (2022). In hospital deprescribing in the real world. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://ijsdcs.com/index.php/TLAI/article/view/276
Meenigea, N. (2019). A systematic review OF splitting a tablet obtain an accurate dose. International Journal of Machine Learning for Sustainable Development, 1(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/273
Meenigea, N. (2019). EMOJIFY-CREATE YOUR OWN EMOJIS WITH DEEP LEARNING. International Journal of Sustainable Development in Computing Science, 1(1), 31-39.
Meenigea, N. (2015). Assessing the acceptance of augmented-reality. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 7 (7).
Meenigea, N. kolla, V. ravi kiran.(2019). Classification of Fruits/Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3).
Meenigea, N. kolla, V. ravi kiran.(2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1).
Meenigea, N. (2021). Safety of metaraminol in critically ill patients with shock. International Journal of Sustainable Devlopment in Computer Science Engineering, 7(7).
Meenigea, N. (2021). Virtual Objective Structured Clinical Examinations. International Scientific Journal for Research, 3 (3).
Meenigea, N. (2020). Experiential-based foundational pharmacy residency programs: a narrative review. International Scientific Journal for Research, 2 (2).
Meenigea, N. (2020). Exploring career advancement of pharmacy. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 12 (12).
Meenigea, N. (2018). Building a pharmacy workforce from the ground up to support the COVID-19 vaccine rollout. Transactions on Latest Trends in IoT, 1(1), 61-67. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/278
Meenigea, N. (2018). Knowledge and perceptions of outpatients regarding upper respiratory tract. International Journal of Managment Education for Sustainable Development, 1(1), 50-55.
Meenigea, N. (2018). A Comparative Analysis of OS Forensics Tools in Health Sector. Transaction on Recent Devlopment in Industrial IoT, 10 (10).
Meenigea, N. (2017). Developing a mobile device-based medicines management application for people who are blind and visually impaired. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9 (9).
Meenigea, N. kolla, V. ravi kiran.(2017). DETERMINING TELECOM COMPANY CHURN PREDICTION USING MACHINE LEARNING. International Transactions in Artificial Intelligence, 1(1).
Meenigea, N. (2023). Exploring the Current Landscape of Artificial Intelligence in Healthcare. International Journal of Sustainable Development in Computing Science, 1(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/285
Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 International Journal of Machine Learning for Sustainable Development
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Impact Factor :
JCR Impact Factor: 5.9 (2020)
JCR Impact Factor: 6.1 (2021)
JCR Impact Factor: 6.7 (2022)
JCR Impact Factor: 7.6 (2023)
JCR Impact Factor: 8.6 (2024)
JCR Impact Factor: Under Evaluation (2025)
A Double-Blind Peer-Reviewed Refereed Journal