Titlebook: Migration in der Pflege; Wie Diversit?t und I Marco Bonacker,Gunter Geiger Book 2021 Der/die Herausgeber bzw. der/die Autor(en), exklusiv l

Armada

隱語

Co-Creation in Ambient NarrativesTechnically, Ambient Intelligence refers to the presence of a digital environment that is sensitive, adaptive, and responsive to the presence of people. Electronic devices are embedded in furniture, clothing or other parts of the environment; the technology recedes into the background of our everyda

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Critical

Feature Construction Using Theory-Guided Sampling and Randomised Search(ILP) system with access to relevant relational information. The process of feature construction by an ILP system, sometimes called “propositionalization”, has been largely done either as a pre-processing step (in which a large set of possibly useful features are constructed first, and then a predic

modifier

Using Reference Points for Detection of Calcifications in Mammograms for Medical Active Systems is necessary to create methodologies where it can be observed how the experts solve specific problems or situations. This paper focuses on the problem of breast cancer detection and classification, and presents a methodology based on a case study where radiologists and medical doctors were involved

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bronchiole

0921-092X nagement in the context of reservoir operation.Explores rece.This book explores many recent techniques including ANN, fuzzy logic, hydraulic models and IWRM utilized for integrated water resources management, a real challenge in India for obtaining high irrigation efficiency..The book deals with top

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Potential Mechanisms of PTOA: Inflammationstages and how they impact on initiating joint tissue destruction may have predictive value in defining postoperative outcomes and permit the design of novel structure-modifying therapies to halt or slow the development of PTOA.

Coeval

Climate As a Factor in Regional Planningr each confirmed COVID-19 case, we give similar cases to provide radiologists with diagnosis and treatment references. We conduct experiments on a large publicly available dataset (CC-CCII) and compare the proposed model with state-of-the-art COVID-19 detection methods. The results show that our pro