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Titlebook: IoT as a Service; 4th EAI Internationa Bo Li,Mao Yang,Zhongjiang Yan Conference proceedings 2019 ICST Institute for Computer Sciences, Soci

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楼主: 浮华
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Actor-Critic for Multi-agent System with Variable Quantity of Agentsems with fixed quantity of agents. In reality, the quantity of agents in the system is often changed over time, and the majority of multi-agent reinforcement learning (MARL) models can’t work robustly on these systems. In this paper, we propose a model extended from actor-critic framework to process
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Video Captioning Using Hierarchical LSTM and Text-Based Sliding Windowthods only use the word-level cross entropy loss to train the model, while ignoring the relationship between visual content and sentence semantics. In addition, during the decoding stage, the resulting models are used to predict one word at a time, and by feeding the generated word back as input at
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Development of 3D Exhibition System for IoT-Oriented Simulation Platformte data output mechanism based on the original simulation platform, which provides a convenient environment for development and debugging, observation of system process and performance evaluation for the NB-IoT simulation platform. The exhibition system includes multiple modules, such as a data proc
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An Extreme Learning Approach for Electronic Music Classificationmusic data are extracted from cepstrum coefficient.Secondly, the kernel principal component analysis is adopted to reduce the dimension of features.Thirdly, in order to select appropriate parameters for an extreme learning machine, the genetic algorithm is used. Finally, experiments are carried out
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An Integrated Architecture for IoT Malware Analysis and Detectionre constantly emerging. However, there is lacking of an IoT malware analysis architecture to extract and detect the malware behaviors. This paper addresses the problem and propose an IoT behavior analysis and detection architecture. We integrate the static and dynamic behavior analysis and network t
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