Abstract: Neural network-based nonlinear system identification is crucial for various multi-step ahead prediction tasks, including model predictive control and digital twins. These applications demand ...

Abstract: The problem of solving linear equations is considered as one of the fundamental problems commonly encountered in science and engineering. In this article, the complex-valued time-varying ...

Crows, ravens, and other corvids consistently rank among the most intelligent animals on Earth. These birds possess problem-solving abilities that rival those of great apes, despite having very ...

Biotech startups face high failure rates, with nearly 90% failing and only 28% of first-time product launches exceeding forecasts. Early integration of commercialization strategies is crucial for ...

The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated scientists for a long time. While these dynamics can be represented by reaction ...

Intelligence in the animal kingdom manifests in fascinating and diverse ways. From problem-solving abilities to social dynamics and tool usage, wild creatures demonstrate remarkable cognitive ...

Common Core correlation to mathematics standards -- Variables, expressions, and integers -- Solving equations -- Multi-step equations and inequalities -- Factors, fractions, and exponents -- Rational ...

Sep. 21, 2025 — Researchers at UNSW have found a way to make atomic nuclei communicate through electrons, allowing them to achieve entanglement at scales used in today’s computer chips. This ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in the brain, or the spread of infectious diseases. Petar Jovanovski's Ph.D.