Titlebook: Structural Modeling of Metamaterials; Vladimir I. Erofeev,Igor S. Pavlov Book 2021 Springer Nature Switzerland AG 2021 Metamaterials.Struc

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Vladimir I. Erofeev,Igor S. Pavlov In object detection algorithms, people tend to pay less attention to training time, but more attention to algorithm running time, energy efficiency ratio and processing delay. FPGA can achieve data parallel operation, low power, low latency and reprogramming, providing powerful computing power and

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Vladimir I. Erofeev,Igor S. Pavlovnomous armies. In this work, we focus on use of robots for target searching. For example, a collection of Unmanned Aerial Vehicle (UAV) could be sent to search for survivor targets in disaster rescue missions. We assume that there are multiple targets. The moving speeds and directions of the targets

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Vladimir I. Erofeev,Igor S. Pavlovation network applications, such as social networks and biological networks. An unsolved primary challenge is to find a way to represent the network structure to efficiently compute, process and analyze network tasks. Graph Neural Network (GNN) based node representation learning is an emerging learn

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derlined the need for a cultural shift to promote quality in higher education. The white paper outlined five main strategies and a series of actions to enhance institutional ‘quality work’, and identified the use of digital technology as a key driver to stimulate the provision of innovative teaching

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Achim Schmidtrn eine Einigung zwischen den Stakeholdern nicht möglich ist, sind Alternativen wie Sanierung in der Insolvenz, Verkauf der Kredite an einen Dritten oder Fälligstellung und Verwertung zu prüfen..Das nachfolgende Kapitel beleuchtet die Vorgehensweise der Bank, ihre Entscheidungsparameter und zeigt di