Communications, Signal Processing, and Systems [electronic resource] : Proceedings of the 2018 CSPS Volume III: Systems / edited by Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang.
Contributor(s): Liang, Qilian [editor.] | Liu, Xin [editor.] | Na, Zhenyu [editor.] | Wang, Wei [editor.] | Mu, Jiasong [editor.] | Zhang, Baoju [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Electrical Engineering: 517Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XVIII, 1219 p. 745 illus., 475 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811365089.Subject(s): Telecommunication | Electronic circuits | Signal processing | Computer networks | Computer science—Mathematics | Communications Engineering, Networks | Electronic Circuits and Systems | Signal, Speech and Image Processing | Computer Communication Networks | Mathematical Applications in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access onlineBased on Deep Learning CSI Recovery for Uplink Massive Device Dynamic Internet of Thing(DIoT) -- DEEP: Detection of Environmental Pollution Using Cooperative Neural Network -- Imbalanced data classification method based on Ensemble learning -- Bayesian methods based Learning Automata for two-player stochastic games with incomplete information -- A double competitive strategy based learning automata algorithm.
This book brings together papers from the 2018 International Conference on Communications, Signal Processing, and Systems, which was held in Dalian, China on July 14–16, 2018. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications, signal processing and systems. It is aimed at undergraduate and graduate electrical engineering, computer science and mathematics students, researchers and engineers from academia and industry as well as government employees.
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