Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
Chromatography Online

Barriers to Fully Automated Method Development in Chromatography and the Role of Intuition

At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...
EurekAlert!

How an algorithm is curing 3D printing’s cracking problem

In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...
IEEE

CatBoost and Bayesian Optimization Algorithm-Based Classification of Fraudulently Insured Persons and Random Forest-Based Fraud Prediction Combining Multiple Attention Mechanisms

Abstract: With the development of science and technology, machine learning is gradually applied to the field of insurance to cope with the complex insurance fraud that is difficult to identify by ...
IEEE

Efficient 3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning

Abstract: 3D reconstruction is a fundamental task in robotics that gained attention due to its major impact in a wide variety of practical settings, including agriculture, underwater, and urban ...