For decades, the enterprise technology industry operated on a simple principle: software companies built products, and services firms helped enterprises implement, customize, and operate them. The ...

Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...

Abstract: Orthogonal time frequency space (OTFS) modulation is expected to address the performance degradation of orthogonal frequency division multiplexing (OFDM) modulated signals, particularly due ...

Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework–Based Standards Compliance Toolkit for AI-Driven Projects ...

Abstract: We propose a framework in the form of a model, an associated template, and a checklist to provide guidance to practitioners for creating sound key performance indicators, examining their ...

Cardinality estimation (CardEst) plays a crucial role in the optimization of query execution plans. Over the past decade, a number of methods have been proposed to address this issue, but limitations ...