Titlebook: Indicators of Children‘s Well-Being; Understanding Their Asher Ben-Arieh,Robert M. Goerge Book 20061st edition Springer Science+Business M

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CORNELIUS HOGANtion using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural network (ANN) methods. The pattern recognition of PD is divided in two sections, the first is for two class classification, and the second is four stage classification based on Hughes Scale which commonly used in Indonesi

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PAMELA MORRIS,LISA GENNETIANce of code or binary under inspection contains a particular malware. Malware variants of a particular malware family show very high similarity scores (over 85%). Interestingly Trojans and hacking tools have high similarity scores with other Trojans and hacking tools..Our results also show that malwa

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Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others...Academics, scientists, software developers, teachers and tutors and

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in the undesirable impacts over time, which further decomposes into two components: the change in efficiency and the technical change. The results show a considerable progress towards sustainable road transport in Europe during this period. However, the development indifferent countries were unbalan

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Indicators and Policy Decisions: The Important Role of Experimental Studieskers and serve as a necessary complement to indicator data to best inform policy decisions. Here we make the case for the role of experimental studies as the link between indicator data (identifying a social policy concern) and policy decisions.We describe how the results from experimental studies c