Titlebook: Models of Computation for Big Data; Rajendra Akerkar Book 2018 The Author(s), under exclusive license to Springer Nature Switzerland AG 20

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Cell Immobilization for the Production of Viral Vaccines, the Influenza pandemic H1N1 in 2009. Traditional viral vaccines manufacturing platforms such as embryonated eggs and conventional/classical cell substrates no longer satisfy the needs in terms of production capacity and speed to market and therefore require urgent replacement (Hess et al. 2012)..We

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Application of Dynamic Hip Screw System in Treatment of Intertrochanteric Fracturef numerical simulation of the model of femoral fixation using stabilizer DHS for the fixations most commonly occurring in clinical cases. The simulation results constituted the basis for the selection of mechanical properties and allowed to define the zones most vulnerable to mechanical failure of b

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Transit-Oriented Development to, for, and in Delhi,y people through walking over private transport. As metro rail transit (MRT) network expands, planning agencies are interested in facilitating TOD along existing and future transit corridors. However, the proposed definition lacks clear motivation, and there is less agreement among stakeholders on w

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Presenting an Interdisciplinary Teaching Approach to Involve University Students in Issues of Sustaiated to develop a pedagogical-didactic curriculum which offers students the opportunity to learn about climate change adaptation, deepen their understanding of the political system in their federal state (in this case Saxony-Anhalt) and exchange ideas on an interdisciplinary basis. According to the

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https://doi.org/10.1057/978-1-349-94910-6ion comes from a gap sensor, which indicates depth discontinuities and allows the robot to move toward them. A motion strategy is presented that optimally navigates the robot to any landmark in the region. Optimality is proved and the method is illustrated in simulation.

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GAN-Based Anomaly Intrusion Detection for Industrial Controller System,ge in handling imbalanced real-time data. In this paper, we have implemented generative adversarial networks, to resolve the issue of imbalance in datasets by creating class-specific adversarial samples and further detecting anomalies with greater efficiency. This proposed method is tested on Secure Water Treatment Dataset.

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