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001440883 019__ $$a1283843005$$a1292518679$$a1294361100
001440883 020__ $$a9783030901967$$q(electronic bk.)
001440883 020__ $$a3030901963$$q(electronic bk.)
001440883 020__ $$z9783030901950$$q(print)
001440883 0247_ $$a10.1007/978-3-030-90196-7$$2doi
001440883 035__ $$aSP(OCoLC)1285170316
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001440883 049__ $$aISEA
001440883 050_4 $$aQ334
001440883 08204 $$a006.3$$223
001440883 1112_ $$aEAI International Conference on Artificial Intelligence for Communications and Networks$$n(3rd :$$d2021 :$$cOnline)
001440883 24510 $$aArtificial intelligence for communications and networks :$$bThird EAI International Conference, AICON 2021, Xining, China, October 23-24, 2021, Proceedings.$$nPart I /$$cXianbin Wang, Kai-Kit Wong, Shanji Chen, Mingqian Liu (eds.).
001440883 2463_ $$aAICON 2021
001440883 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001440883 300__ $$a1 online resource (636 pages)
001440883 336__ $$atext$$btxt$$2rdacontent
001440883 337__ $$acomputer$$bc$$2rdamedia
001440883 338__ $$aonline resource$$bcr$$2rdacarrier
001440883 347__ $$atext file
001440883 347__ $$bPDF
001440883 4901_ $$aLecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;$$v396
001440883 500__ $$aIncludes author index.
001440883 5050_ $$aDeep 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.
001440883 506__ $$aAccess limited to authorized users.
001440883 520__ $$aThis two-volume set LNICST 396 and 397 constitutes the post-conference proceedings of the Third EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 79 full papers were carefully reviewed and selected from 159 submissions. The papers are organized in topical sections on Artificial Intelligence in Wireless Communications and Satellite Communications; Artificial Intelligence in Electromagnetic Signal Processing; Artificial Intelligence Application in Wireless Caching and Computing; Artificial Intelligence Application in Computer Network.
001440883 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 15, 2021).
001440883 650_0 $$aArtificial intelligence$$vCongresses.
001440883 650_0 $$aTelecommunication systems$$vCongresses.
001440883 650_6 $$aIntelligence artificielle$$vCongrès.
001440883 650_6 $$aSystèmes de télécommunications$$vCongrès.
001440883 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440883 655_7 $$aConference papers and proceedings.$$2lcgft
001440883 655_7 $$aActes de congrès.$$2rvmgf
001440883 655_0 $$aElectronic books.
001440883 7001_ $$aWang, Xianbin.
001440883 7001_ $$aWong, Kai-Kit.
001440883 7001_ $$aChen, Shanji.
001440883 7001_ $$aLiu, Mingqian.
001440883 77608 $$iPrint version:$$aWang, Xianbin.$$tArtificial Intelligence for Communications and Networks.$$dCham : Springer International Publishing AG, ©2021$$z9783030901950
001440883 830_0 $$aLecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;$$v396.
001440883 852__ $$bebk
001440883 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90196-7$$zOnline Access$$91397441.1
001440883 909CO $$ooai:library.usi.edu:1440883$$pGLOBAL_SET
001440883 980__ $$aBIB
001440883 980__ $$aEBOOK
001440883 982__ $$aEbook
001440883 983__ $$aOnline
001440883 994__ $$a92$$bISE