aspg-3-1717-1791417845 20261008000405 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2023 11 2 Raed Khalid Department of medical instrument engineering techniques, Alfarahidi University, Baghdad, Iraq Omar Saad Ahmed Al-Turath University College, Baghdad, 10021, Iraq Talib A. Al-Sharify Computer Communication Department, Al Rafidain University College, Baghdad, Iraq Wasfi Hameed Department of computer engineering techniques, Mazaya University College, Thi Qar, Iraq Riyam K. Marjan Department of Intelligent Medical Systems, Al- Mustaqbal University college, Babylon 51001, Iraq Feature engineering methods, which entail identifying and extracting useful features from big datasets, can be used to enhance the precision of asset securitization. It might be difficult to securitize assets that produce multiple receivables, such as consumer or company debt. In order to overcome these difficulties, companies might think about adopting a fusion system that integrates feature engineering with distributed ledger technologies such as blockchain. Businesses can benefit from implementing a fusion system like the Deep learning-based Adaptive Online Intelligent Framework (DLAOIF) since it allows for better decision-making, less wasted time and money, and less chance of fraud. Financial asset tracking on a blockchain can help investors keep a closer eye on asset performance and related risks, while also decreasing their reliance on credit rating agencies. Blockchain's high data security standards and elimination of regulatory bottlenecks in the securitization process also make it a useful tool for easing the burden of due diligence. 2023 76 89 1717 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.110206 https://www.americaspg.com/journal/3/article/1717 https://www.americaspg.com/storage/81682017234.pdf