IEEE

AI-Powered Fraud Detection in the Financial Services Sector: A Machine Learning Approach

Abstract: Financial Fraud Detection is essential for securing financial transactions and mitigating fraudulent activities. This paper explores various fraud types, such as payment fraud and account ...
The Manila Times

ML Engineer Program with Agentic AI Launched - Interview Kickstart Addresses Growing Demand For Machine Learning Engineers in USA

Interview Kickstart announced the expansion of its Machine Learning Course curriculum to address the growing demand for professionals skilled in AI technologies optimized for custom silicon ...
C&EN

Mechanism-Driven Features Enable Asn Deamidation Reactivity Prediction via Machine Learning Methods

The spontaneous deamidation of Asparagine (Asn) residues is a common post-translational modification of proteins that can occur on disparate time scales, ranging from hours to thousands of years. This ...
C&EN

Smart and Low-Cost Flexible Strain Sensor Based on Graphene-MWCNT Porous Elastic Sponge for Home Control and Object Grasping Recognition Using Machine Learning

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...
IEEE

Fraud Detection in Financial Transactions using Machine Learning - A Comparative Study

Abstract: Data analysis techniques using machine learning approaches are the most prominent when we are considering the online fraud, it may be a credit card fraud or any other online fraud in the ...