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020 _a9783030708665
024 7 _a10.1007/978-3-030-70866-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.D343
_b2021 EB
245 0 0 _aMachine learning for networking :
_bthird International Conference, MLN 2020, Paris, France, November 24-26, 2020, Revised Selected Papers
_cedited by Éric Renault, Selma Boumerdassi, Paul Mühlethaler
250 _aFirst edition 2021
264 1 _aCham, Switzerland
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (XIII, 375 páginas)
_b165 ilustraciones, 148 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aInformation Systems and Applications incl. Internet/Web and HCI
_v12629
505 0 _aBetter anomaly detection for access attacks using deep bidirectional LSTMs -- Using Machine Learning to Quantify the Robustness of Network Controllability -- Configuration faults detection in IP Virtual Private Networks based on machine learning -- Improving Android malware detection through dimensionality reduction techniques -- A Regret Minimization Approach to Frameless Irregular Repetition Slotted Aloha -- Mobility based Genetic algorithm for Heterogeneous wireless networks -- Geographical Information based Clustering Algorithm for Internet of Vehicles -- Active Probing for Improved Machine-Learned Recognition of Network Traffic -- A Dynamic Time Warping and Deep Neural Network Ensemble for Online Signature Verification -- Performance evaluation of some Machine Learning algorithms for Security Intrusion Detection -- Three Quantum Machine Learning Approaches for Mobile User Indoor-Outdoor Detection -- Learning resource allocation algorithms for cellular networks -- Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning -- Deep Learning-Aided Spatial Multiplexing with Index Modulation -- A Self-Gated Activation Function SINSIG Based on the Sine Trigonometric for Neural Network Models -- Spectral Analysis for Automatic Speech Recognition and Enhancement -- Road sign Identification with Convolutional Neural Network using TensorFlow -- A Semi-Automated Approach for Identification of Trends in Android Ransomware Literature -- Towards Machine Learning in Distributed Array DBMS: Networking Considerations -- Deep Learning Environment Perception and Self-Tracking for Autonomous and Connected Vehicles -- Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks -- Identifying Device Types for Anomaly Detection in IoT -- A novel heuristic optimization algorithm for solving the Delay-Constrained Least-Cost problem -- Terms Extraction from Clustered Web Search Results. .
520 3 _aThis book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, 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, ressource allocation, energy-aware communications, software de ned networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
988 _aSpringer_Computer_2021
650 7 _2embne
_aData mining
_vCongresos y asambleas
_9162648
650 7 _2embne
_aAprendizaje automático
_vCongresos y asambleas
_9166090
650 7 _2embne
_aRedes informáticas
_vCongresos y asambleas
_9141354
700 1 _aRenault, Éric
_eeditor literario
_0(orcid)0000-0003-1011-8347
_1https://orcid.org/0000-0003-1011-8347
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBoumerdassi, Selma
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMühlethaler, Paul
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70866-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2021
_dz
_eb
_zSI