Artificial Intelligence for Communications and Networks
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Artificial Intelligence for Communications and Networks

Artificial Intelligence for Communications and Networks


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About the Book

Deep Learning/Machine Learning on Information and Signal Processing.- Federated Learning based Distributed Algorithms for RF Fingerprinting Extraction and Identification of IoT devices.- Fast Beam Switching Based on Machine Learning for mmWave Massive MIMO Systems.- Study on Pixel Level Segmentation and Area Quantification of Highway Slope Cracks.- LSTM-based Prediction of Airport Aircraft in and Outflow.- Micro-Motion Classification of Rotor UAV And Flying Bird via CNN and FMCW Radar.- Transformer-based Few-shot Learning for Image Classification.- Fractional Time-frequency Scattering Convolution Network.- Fault prediction analysis of communication optical fiber based on SVM algorithm.- RSEN-RFF: Deep Learning-Based RF Fingerprint Recognition in Noisy Environment.- Q-learning Based Optimum Relay Selection for a SWIPT-Enabled Wireless System.- Power Quality Prediction of Active Distribution Network Based on CNN-LSTM Deep Learning Model.- Artificial Intelligence in Wireless Communications and Satellite Communications.- System simulation and coverage analysis of 5G NR communication system based on 700MHz frequency band.- The Influence of Navigation and Remote Sensing LEO Satellite Attitude on BDS Augmentation.- LEO-assisted Beidou B1C signal acquisition algorithm and on-orbit verification.- Research on Ship Target Detection in SAR Image Based on Improved YOLO v3 Algorithm.- Energy Efficiency Optimization for Plane Spiral OAM Mode-Group Based MIMO-NOMA Systems.- Energy Efficient Resource Allocation for UCA-based OAM-MIMO System.- Exerimental Study on Target Localization for DTMB-Based Passive Bistatic Radar.- Application of artificial intelligence in the planning of navigation satellite in-orbit reconstruction tasks.- Coordinated Beamforming Optimization With Interference Suppressing for Massive MIMO Systems.- Mobile Load Balancing for 5G RAN Slicing in Mobile Network.- Dynamic communication and computation resource allocation algorithm for end-to-end slicing in mobile networks.- Passive Target Detection Based on GLRT Using Multi-satellite Illumination.- Passive Target Detection Based on Rao Using Multi-satellite Illumination.- Environment-driven Modulation and Coding Schemes for Cognitive Multicarrier Communication Systems.- Secure Communications for Dual-UAV-MEC Networks.- An improved MAX-Log MPA multiuser detection algorithm in SCMA system.- Artificial Intelligence in Electromagnetic Signal Processing.- An Adaptive Slice Type Decision Algorithm for HEVC Based on Local Luminance Histogram.- Research on sound source recognition algorithm of pickup array based on adaptive background noise removal.


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Product Details
  • ISBN-13: 9783030901950
  • Publisher: Springer Nature Switzerland AG
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Third Eai International Conference, Aicon 2021, Xining, China, October 23-24, 2021, Proceedings, Part I
  • Width: 156 mm
  • ISBN-10: 3030901955
  • Publisher Date: 03 Nov 2021
  • Height: 234 mm
  • No of Pages: 644
  • Spine Width: 33 mm
  • Weight: 938 gr


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Artificial Intelligence for Communications and Networks
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Artificial Intelligence for Communications and Networks
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