Titlebook: Machine Learning and Intelligent Communications; Third International Limin Meng,Yan Zhang Conference proceedings 2018 ICST Institute for C

CAP

书目名称Machine Learning and Intelligent Communications影响因子(影响力)




书目名称Machine Learning and Intelligent Communications影响因子(影响力)学科排名




书目名称Machine Learning and Intelligent Communications网络公开度




书目名称Machine Learning and Intelligent Communications网络公开度学科排名




书目名称Machine Learning and Intelligent Communications被引频次




书目名称Machine Learning and Intelligent Communications被引频次学科排名




书目名称Machine Learning and Intelligent Communications年度引用




书目名称Machine Learning and Intelligent Communications年度引用学科排名




书目名称Machine Learning and Intelligent Communications读者反馈




书目名称Machine Learning and Intelligent Communications读者反馈学科排名

Jargon

978-3-030-00556-6ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Institution

Machine Learning and Intelligent Communications978-3-030-00557-3Series ISSN 1867-8211 Series E-ISSN 1867-822X

Benzodiazepines

Limousine

phase-2-enzyme

Chronic

Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Mobile Edge Computingropose a deep reinforcement learning-based approach to solve joint task offloading and resource allocation problems. Simulation results show that the proposed deep Q-learning-based algorithm can achieve near-optimal performance.

马赛克

Fast Inter Prediction Mode Decision Algorithm Based on Data Miningchoose decision trees to solve the splitting decision problem. We implement the decision trees on official software HM16.2 and test the algorithm on the testing set. Experiments indicate that the fast decision algorithm improve the coding performance more efficiently than some existing algorithms.

Radiation

Variable Tap-Length Blind Equalization for Underwater Acoustic Communication the update algorithm to realize the blind equalization of the underwater acoustic channel. The simulation shows that the algorithm adaptively adjusts the length of the taps to the optimal. Compared with the traditional blind equalization algorithm, the performance of the system is improved.

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