001445372 000__ 04552cam\a2200649Ii\4500
001445372 001__ 1445372
001445372 003__ OCoLC
001445372 005__ 20230310003827.0
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001445372 019__ $$a1305912580$$a1306023984$$a1306065521
001445372 020__ $$a9783030989781$$q(electronic bk.)
001445372 020__ $$a303098978X$$q(electronic bk.)
001445372 020__ $$z9783030989774
001445372 020__ $$z3030989771
001445372 0247_ $$a10.1007/978-3-030-98978-1$$2doi
001445372 035__ $$aSP(OCoLC)1305436069
001445372 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ
001445372 049__ $$aISEA
001445372 050_4 $$aQ325.5$$b.I58 2021
001445372 08204 $$a004.6$$223
001445372 1112_ $$aInternational Conference on Machine Learning for Networking$$n(4th :$$d2021 :$$cOnline)
001445372 24510 $$aMachine learning for networking :$$b4th international conference, MLN 2021, virtual event, December 1-3, 2021 : proceedings /$$cÉric Renault, Selma Boumerdassi, Paul Mühlethaler (eds.).
001445372 24630 $$aMLN 2021
001445372 264_1 $$aCham :$$bSpringer,$$c[2022]
001445372 264_4 $$c©2022
001445372 300__ $$a1 online resource :$$billustrations (some color).
001445372 336__ $$atext$$btxt$$2rdacontent
001445372 337__ $$acomputer$$bc$$2rdamedia
001445372 338__ $$aonline resource$$bcr$$2rdacarrier
001445372 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13175
001445372 500__ $$aInternational conference proceedings.
001445372 500__ $$aIncludes author index.
001445372 5050_ $$aEvaluation of Machine Learning Methods for Image Classification: A Case Study of Facility Surface Damage -- One-Dimensional Convolutional Neural Network for Detection and Mitigation of DDoS Attacks in SDN -- Multi-Armed Bandit-based Channel Hopping: Implementation on Embedded Devices -- Cross Inference of Throughput Profiles Using Micro Kernel Network Method -- Machine Learning Models for Malicious Traffic Detection in IoT networks /IoT-23 dataset -- Application and Mitigation of the Evasion Attack against a Deep Learning Based IDS for Io -- DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering -- Unsupervised Anomaly Detection using a new Knowledge Graph Model for Network Activity and Events -- Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking -- Distance estimation using LORA and neural networks.
001445372 506__ $$aAccess limited to authorized users.
001445372 520__ $$aThis book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software-defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, and underwater sensor networks.
001445372 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 1, 2022).
001445372 650_0 $$aMachine learning$$vCongresses.
001445372 650_0 $$aComputer networks$$vCongresses.
001445372 650_6 $$aApprentissage automatique$$vCongrès.
001445372 650_6 $$aRéseaux d'ordinateurs$$vCongrès.
001445372 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445372 655_7 $$aConference papers and proceedings.$$2lcgft
001445372 655_7 $$aActes de congrès.$$2rvmgf
001445372 655_0 $$aElectronic books.
001445372 7001_ $$aRenault, Éric$$c(Computer scientist),$$eeditor.
001445372 7001_ $$aBoumerdassi, Selma,$$eeditor.
001445372 7001_ $$aMühlethaler, Paul,$$eeditor.
001445372 77608 $$iPrint version: $$z3030989771$$z9783030989774$$w(OCoLC)1301904319
001445372 830_0 $$aLecture notes in computer science ;$$v13175.$$x1611-3349
001445372 852__ $$bebk
001445372 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-98978-1$$zOnline Access$$91397441.1
001445372 909CO $$ooai:library.usi.edu:1445372$$pGLOBAL_SET
001445372 980__ $$aBIB
001445372 980__ $$aEBOOK
001445372 982__ $$aEbook
001445372 983__ $$aOnline
001445372 994__ $$a92$$bISE