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Titlebook: Modern Industrial IoT, Big Data and Supply Chain; Proceedings of the I Victor Chang,Muthu Ramachandran,Víctor Méndez Muño Conference procee

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A Method Using Local Tuning for Minimizing Functions with Lipschitz Derivatives,es. The method does not require a priori knowledge of the exact Lipschitz constant, but adaptively estimates the local Lipschitz constants in different sectors of the search region in the course of optimization. Convergence conditions of the method are investigated. Results of a numerical comparison
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Socioscientific Issues, Scientific Literacy, and Citizenship: Assembling the Puzzle PiecesD-19 pandemic are but a few. Science education needs to be transformed to help students cope with these challenges. I argue that scientific literacy needs to be re-conceptualized to focus on citizenship so that students can participate in building a just, democratic society. Using the metaphor of a
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Design Factors Towards Water Retention Ability of Water-Sensitive Urban Design (WSUD) in Tropical an the challenges posed by changes in natural infiltration and precipitation processes. Green Stormwater Infrastructure (GSI) is a key component of WSUD and is extensively utilized in Europe and the United States. GSI can take many forms. One example of GSI is the rain garden, which is frequently inte
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https://doi.org/10.1007/978-1-4613-9168-5 so great as to suggest different perceptions and world views. Tennessen also asserts that the value of “world views” themselves must be very limited and indecisive in choosing between data or eliminating the inconsistencies in data, because the conceptual frameworks of science are evoked by the empirical facts which they include.
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Design of Satellite-Based Multimedia Content Distribution Systems and Metrics for Systems Evaluation. New scheduling algorithms called . and its varieties and new performance metrics called . and . are also proposed. Furthermore, we present a detailed performance evaluation of the proposed scheduling algorithm and of some typical existing scheduling algorithms with various traffic and access patterns using computer simulation.
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Proportionalism and its Justifications,stem automatically assesses system utilities and use reinforcement learning to update policy preference. We evaluate our approach and framework by an example system for bank dispatching. The experiment results reveal the intelligence and reactiveness of our approach and framework.
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