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From Databases to Exchange Formats
This chapter addresses the question of how to transform relational database content into exchange formats in order to enable data interoperability... -
On the Use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon
Camera trap image analysis, although critical for habitat and species conservation, is often a manual, time-consuming, and expensive task. Thus,... -
Process Orchestration: Conceptual Design
This chapter explains and discusses concepts for the conceptual design and formal verification of process orchestrations, employing notations such as... -
kNN Join for Dynamic High-Dimensional Data: A Parallel Approach
The k nearest neighbor (kNN) join operation is a fundamental task that combines two high-dimensional databases, enabling data points in the User... -
Multi-level Storage Optimization for Intermediate Data in AI Model Training
As Transformer-based large models become the mainstream of AI training, the development of hardware devices (e.g., GPUs) cannot keep up with the... -
Take a Close Look at the Optimization of Deep Kernels for Non-parametric Two-Sample Tests
The maximum mean discrepancy (MMD) test with deep kernel is a powerful method to distinguish whether two samples are drawn from the same... -
Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs
Hop-constrained path enumeration, which aims to output all the paths from two distinct vertices within the given hops, is one of the fundamental...