Titlebook: Artificial Intelligence Applications and Innovations; 17th IFIP WG 12.5 In Ilias Maglogiannis,John Macintyre,Lazaros Iliadis Conference pro

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书目名称Artificial Intelligence Applications and Innovations影响因子(影响力)学科排名




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书目名称Artificial Intelligence Applications and Innovations网络公开度学科排名




书目名称Artificial Intelligence Applications and Innovations被引频次




书目名称Artificial Intelligence Applications and Innovations被引频次学科排名




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书目名称Artificial Intelligence Applications and Innovations年度引用学科排名




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书目名称Artificial Intelligence Applications and Innovations读者反馈学科排名

上坡

Detoxification

PALSY

The Expert Economist in Times of Uncertaintys apparent as these entities are used to identify key features, enable better search results and can accelerate the process of reviewing related evidence to a medical case. This practice is known as Evidence-Based Medicine (EBM) and is globally used by medical practitioners who do not have the time

Crumple

Frank A. G. den Butter,Sjoerd A. ten Woldect the sensitive ECG data from data breach, ECG biometrics system are proposed. Compared to the traditional biometric systems, ECG biometric is known to be ubiquitous, difficult to counterfeit and more suitable in cleanroom or IC fabs. ECG biometric system mainly contains identification task and ver

内阁

MAIZE

Seeking Consensus in the Social Sciences raises significant questions in terms of trust, ethics, and accountability. This paper offers an introduction to the AI4Media project, which aims to build on recent advances of AI in order to offer innovative tools to the media sector. AI4Media unifies the fragmented landscape of media-related AI t

跑过

Laszlo Kosolosky,Jeroen Van Bouwelin Management (SCM). Based on this premise, it was conducted a Regression Predictive Model to comprehend the usage of Big Data Analytics in SCM and to have insights of the requirements for the potential applications of BDA. In this study were analyzed the main sources of BDA utilized in present by S

Hot-Flash

poliosis

The Authority of Representations. A number of AutoML solutions have been developed, open-source and commercial. We propose a concept called . (.ntology-based .eta .uto.) that combines the strengths of existing AutoML solutions by integrating them (meta AutoML)..OMA-ML is based on a ML ontology that guides the meta AutoML process.