The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Abstract: A multi-target model can simultaneously monitor the changing trends of multiple related parameters, which plays a crucial role in achieving intelligent perception and decision-making in the ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Recent XRP price models from multiple sources are signalling a potential decline, with technical indicators and downside ...

Abstract: A two-layer stochastic model predictive control (MPC) framework is proposed in this article to address uncertainties associated with electric vehicles (EVs) in microgrid energy management.

Researchers reconstruct the spatial spread of pandemic respiratory viruses across metropolitan areas throughout the United States ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Alphabet delivers an integrated AI stack with TPUs, data scale, and near-zero inference costs, plus targets and key risks. Read why GOOG stock is a strong buy.

ABSTRACT: This paper presents a stochastic model for simulating the dynamic evolution of individual well-being, or happiness. Happiness is conceptualized as an emergent property of an interconnected ...