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Titlebook: Emerging Research in Electronics, Computer Science and Technology; Proceedings of Inter V. Sridhar,M.C. Padma,K.A. Radhakrishna Rao Confere

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https://doi.org/10.1007/978-3-662-25268-0t. Creation of machines with the ability to understand natural language is the prime aim of natural language processing. A machine comprehension task is an extension of question answering technique which provides the machines an ability to answer questions. This task revolutionizes the way in which
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Neuere Methoden zur Analyse von Tensidenonverting each class into multiple smaller subclasses. Further, each document is represented in a lower-dimensional space of size equal to the number of subclasses using term-class relevance (TCR) measure-based transformation technique. Then, each subclass is represented in the form of an interval-v
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https://doi.org/10.1007/978-3-662-25267-3ore general framework with any kind of values and any number of projections. The line Mojette was derived to focus on the limited number of materials scene reconstructions. Meanwhile, the scene only contained limited number of materials. So projection line might contain a unique material value, and
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https://doi.org/10.1007/978-3-642-49834-3nal dataset may lower the performance of the decision tree in terms of classification rate and stability. Vertical partitioning is a novel paradigm to avoid these issues; it divides the features of a dataset into subsets and creates a subset-based classifier ensemble. In our previous work, we propos
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Wettbewerbssituation und Unternehmenserfolg,ity which is concerned with trust attributes decreases with many factors in upgraded trust at vendor’s end, and this leads to a lot of obstacles at vendor’s end for many of the deployments. A model which is really updated enough for executing the operations in trusted environment is required to redu
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https://doi.org/10.1007/978-3-642-99050-2n in military forces and border surveillance. BS which collects information from sensors has become the main target of attack for intruders. Anonymous intruder eavesdrops into network, analyzes the radio patterns to get contextual information, and can find where the BS location is. Attacker can dest
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