The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Nous Research has released Hermes Mixture of Agents 2.0 (MoA 2.0), an update to its open-source Hermes Agent framework that ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
When viruses travel through the air in tiny droplets, they can quickly start to dry out. Yet many viruses remain infectious ...
Abstract: Series dc arc fault creates a fire hazard and negative impacts on the distribution bus if not detected and isolated quickly. However, the detection of a series arc fault is challenging due ...
A dynamical system is a particle or ensemble of particles whose state varies over time and thus obeys differential equations involving time derivatives. Analytical resolution of such equations or ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
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