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Titlebook: Congestion Charging in London; The Policy and the P Martin G. Richards Book 2006 Palgrave Macmillan, a division of Macmillan Publishers Lim

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Vadim Zuravlyov,Anton Matrosov,Dmitrijs Rutkoe “Low-carbon City in 2030” targets. The study assesses the effect of future GHG emission levels in DKI Jakarta and ways in which the DKI Jakarta provincial government may reach reduction targets by up to 30 % below the baseline level in 2030 through the Provincial Action Plan (RAD GRK). Using a bac
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A Coverage Construction and Hill Climbing Approach for Mesh Router Placement Optimization: Simulatilow cost and it has attracted much attention in recent years. There are different methods for optimizing the placement of mesh routers. In our previous work, we proposed a Coverage Construction Method (CCM) and CCM-based Hill Climbing (HC) system for mesh router placement problem considering normal
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QSM: A general purpose shared-memory model for parallel computation,ve parallel algorithm design, as well as the ability to capture bandwidth limitations, as evidenced by a randomized work-preserving emulation on the ., which is a lower-level, distributed-memory model.
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Progressive Approach of Supramolecules Towards the Advancement of Antimicrobial Drugs,measures. Contrasting with traditional therapeutic systems, novel supramolecular chemistry-based antimicrobial drugs provide unprecedented advantages due to tunable, reversible and flexible nature of the supramolecular interactions existing between biomolecules and their ability to accommodate and e
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4.2.5.6 The 4 color system uvgr,irect method. As an application of the stability condition, a Lur’e-type feedback system which includes a static nonlinear loop is considered. The system is easily represented by a descriptor form and a new stability condition is obtained in the form of a linear matrix inequality (LMI).
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Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learningalances the contradiction between consistent cognition and policy diversity among agents. Our methods can be easily combined with existing MARL methods. Empirical results show that our methods achieve state-of-the-art performance on Google Research Football which brings together above challenges.
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