Researchers develop Bayesian inference for hidden dependence structures in multi-group high-dimensional data

In today's scientific and industrial fields, high-dimensional data in which numerous variables are observed simultaneously, such as genomic, climate, financial, and sensor data, are rapidly increasing ...
InfoWorld

Taming the generative AI back end

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

Using C Libraries in Java 3: Complex Applications, Pitfalls, and Best Practices

The FFM API makes accessing C libraries convenient but also presents challenges. Helper functions and best practices make it ...

How Computer Science Students Use Studocu AI to Debug Exam Prep

See how Computer Science students use Studocu's AI tools and peer-shared technical documents to master complex programming ...
IEEE

Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review

Abstract: Fraudulent financial statements (FFS) are the results of manipulating financial elements by overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses. To ...
IEEE

Data-Driven Control of Soft Robots Using Koopman Operator Theory

Abstract: Controlling soft robots with precision is a challenge due to the difficulty of constructing models that are amenable to model-based control design techniques. Koopman operator theory offers ...