Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
It may be niche, but it's a big niche in a data-driven world.
The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
Wind and solar power have grown faster than almost anyone predicted but projecting their future expansion remains ...
Abstract: Precise probabilistic forecasts are fundamental for energy risk management, and there is a wide range of both statistical and machine learning models for this purpose. Inherent to these ...
Abstract: This paper investigates the inverse reinforcement learning (IRL) problem for fuzzy switched systems characterized by sojourn probabilities. Classical fuzzy Markov jump system approaches rely ...