Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...

Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...

Framework of DynIMTS. The model is a recurrent structure based on a spatial-temporal encoder and consists of three main components: embedding learning, spatial-temporal learning, and graph learning.

To begin the process, it’s necessary to have an Azure account with an active subscription and an existing Azure Virtual Machine. By default, Azure assigns a dynamic private IP address to VMs, allowing ...

Take your coding to the next level by learning advanced programming with generics. Here's how to use generic methods with type inference, type parameters, and wildcards in your Java programs. Generics ...

Abstract: Detecting cracks in underwater dams is crucial for ensuring the quality and safety of the dam. Currently, the mainstream method uses underwater robots equipped with cameras for automatic ...

To address the problem in #228 I suggest we add an extend() static (and instance) method that takes a configuration as argument. However, in this configuration the allow and blocklists serve as ...

Abstract: Deep learning has demonstrated significant potential in particle size measurement across various fields, including mining, agriculture, and cell processing. However, its performance heavily ...