Titlebook: Service-Oriented Computing – ICSOC 2023 Workshops; AI-PA, ASOCA, SAPD, Flavia Monti,Pierluigi Plebani,Massimo Mecella Conference proceedin

plasma-cells

Improving Deep Learning Transparency: Leveraging the Power of LIME Heatmapicate structures make them mysterious even to knowledgeable users, obscuring the rationale behind their decision-making procedures. Therefore, interpreter methodologies have emerged to introduce clarity into these techniques. Among these approaches is the Local Interpretable Model-Agnostic Explanati

鬼魂

Non-expert Level Analysis of Self-adaptive Systemsthemselves while executing in order to address expected or unexpected changes and to adapt as much as possible to the current execution context. Self-adaptivity is particularly meaningful for dynamic application domains such as Internet of Things (IoT), Cyber-Physical Systems (CPS), service oriented

渐强

Federated Data Products: A Confluence of Data Mesh and Gaia-X for Data Sharingrticular, an alignment between the Data Mesh self-serve platform and the Gaia-X federated services has been analyzed to understand if the concept of data product, which is central in data mesh, it can evolve into a federated data mesh, serving as the architectural element that supports data sharing

使混合

XPS++: A Publish/Subscribe System with Built-In Security and Privacy by Designg platforms without the complexities of the traditional cryptographic approaches (i.e., homomorphic encryption). We adopt a combination of . based pub/sub service implementation, and XML predicate/filter and the metadata hashing scheme to simultaneously achieve security and privacy objectives by des

改变立场

Hallmark

Linear Structure of Training Samples in Quantum Neural Network Applicationsaverage quality, measured as the error of the approximation, depends on the number of available training samples and the degree of entanglement of these samples. Furthermore, the linear structure of the training samples plays a vital role in determining the average quality of the trained QNNs. Howev

羊栏

不可磨灭

optic-nerve

祸害隐伏

978-981-97-0988-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor