Model-Driven Security Engineering for Data Systems represents a structured methodology that integrates security into the early stages of system and database development. This approach leverages ...

Model-Driven Software Engineering (MDSE) represents a paradigm shift in software development whereby models serve as the principal artefacts throughout the lifecycle of an application. By elevating ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. Subscribe ...

This paper describes the use of behavioral models and mixed-signal simulation as a means to verify the proper instantiation, connectivity and control of analog and mixed-signal (AMS) intellectual ...

Algorithms are no longer purely mechanical: by understanding and integrating behavioral biases, traders can turn human emotions into measurable signals for market advantage. A recent study published ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

A new technical paper titled “VVTEAM: A Compact Behavioral Model for Volatile Memristors” was published by researchers at Technion – Israel Institute of Technology. “Volatile memristors have recently ...

The CMS agency that tests value-based payment models hopes to announce two new models in behavioral health and maternal health later this year, according to Liz Fowler, director of the Center for ...

Fuelled by the success of the previous Model-Driven Engineering (MDE) and Model-Driven Systems Engineering (MDSE) network events, NMI is holding another technical network meeting on the subject.