Traditional approaches based on signal matching and spectral templates have limitations, particularly in handling scale issues and sparsity assumptions. We introduce a novel covariance matching ...

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python ...

Abstract: This two-part paper addresses maximally invariant detection of range-spread targets embedded in disturbance characterized by an unknown Kronecker product-structured covariance matrix. Part I ...

For decades, the Congo Basin was largely invisible to climate science. Now, a new generation of Central African researchers ...

We generalize the seminal Gibbons-Ross-Shanken test to the empirically relevant case where the number of test assets far exceeds the number of observations. In such a setting, one needs to use a ...

The International Water Management Institute (IWMI) has installed an Eddy Covariance Flux Tower at the Barani Agricultural Research Institute (BARI) in Chakwal. The tower was officially inaugurated ...

Forests are vital to the global carbon cycle and play a critical role in regulating climate stability. However, accurately ...

Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement learning (RL) for liquid chromatography (LC) ...

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Type erasure in Java generics programming can cause a variety of problems in your code. Fortunately, there are ways to work around them.

Broadcom Inc. remains a top AI investment for 2025 despite a 20% YTD drop. Discover why its AI positioning outweighs risks.