A comparative study of ML algorithms for anti-money laundering (AML) detection using the IBM AML dataset. Implemented Decision Trees, Random Forests, XGBoost, LGBM, SGD, Logistic Regression, and SV ...

This algorithm can be used for any adaptive filtering application where RLS-DCD would be used by simply altering the data structure and related matrix and vector update functions. The benefits of ...

About Repository containing my solutions to the 'Must do Pattern Problems before starting DSA' curated by Striver. These solutions cover a comprehensive set of pattern-based programming problems that ...

The era of big data is like a "data gold mine," and the Big Data Technology and Application major is the core stage for cultivating "alchemists." If you want to know about the core course structure, ...

To counteract the socioeconomic threats of deepfakes, we must enhance the effectiveness of cyber-wellness education programs; ...

This research study employed machine learning algorithm in This research study employed a machine learning algorithm in predicting student academic performance in the Data Structures and Algorithm ...

Why agencies must look beyond ‘post-quantum crypto’ algorithms to secure their data As NIST rolls out advanced PQC standards to address the ‘Harvest now, decrypt later’ threat, a new report suggests ...