عنوان

Machine learning for networking :

شابک

3030199444

شابک

3030199452

شابک

3030199460

شابک

9783030199449

شابک

9783030199456

شابک

9783030199463

شابک اشتباه

9783030199449

عنوان اصلي

Machine learning for networking :

نام عام مواد

[Book]

ساير اطلاعات عنواني

first International Conference, MLN 2018, Paris, France, November 27-29, 2018, Revised selected papers /

نام نخستين پديدآور

Éric Renault, Paul Mühlethaler, Selma Boumerdassi (eds.).

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2019.

نام خاص و کميت اثر

1 online resource (xiii, 388 pages) :

ساير جزييات

illustrations (some color)

عنوان فروست

Lecture notes in computer science ;

عنوان فروست

LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI

مشخصه جلد

11407

متن يادداشت

Includes author index.

متن يادداشت

Learning Concave-Convex Profiles of Data Transport Over Dedicated Connections -- Towards Analyzing C-ITS Security Data -- Towards a Statistical Approach for User Classification in Twitter -- RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks -- Building a Wide-Area File Transfer Performance Predictor: An Empirical Study -- Advanced Hybrid Technique in Detecting Cloud Web Application's Attacks -- Machine-Learned Classifiers for Protocol Selection on a Shared Network -- Common Structures in Resource Management as Driver for Reinforcement Learning: a Survey and Research Tracks -- Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations -- Delmu: A Deep Learning Approach to Maximizing the Utility of Virtualised Millimetre-Wave Backhauls -- Malware Detection System Based on an In-depth Analysis of the Portable Executable Headers -- DNS Traffic Forecasting Using Deep Neural Networks -- Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networks -- Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks -- LSTM Recurrent Neural Network for Anomaly Detection in Cellular Mobile Networks -- Towards a Better Compromise Between Shallow and Deep CNN for Binary Classification Problems of Unstructured Data -- Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks -- Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting -- The Comment of BBS: How Investor Sentiment Affects a Share Market of China -- A Hybrid Neural Network Approach for Lung Cancer Classification with Gene Expression Dataset and Prior Biological Knowledge -- Plant Leaf Disease Detection and Classification Using Particle Swarm Optimization -- A Game Theory Approach for Intrusion Prevention Systems -- WSN Heterogeneous Architecture Platform for IoT -- An IoT Framework for Detecting Movement Within Indoor Environments -- A Hybrid Architecture for Cooperative UAV and USV Swarm Vehicles -- Detecting Suspicious Transactions in Smart Living Spaces -- Intelligent ERP Based Multi Agent Systems and Cloud Computing.

بدون عنوان

0

متن يادداشت

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: 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, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030199456

شماره استاندارد بين المللي کتاب و موسيقي

9783030199449

شماره استاندارد بين المللي کتاب و موسيقي

9783030199463

عنوان اصلي به زبان ديگر

MLN 2018

موضوع مستند نشده

Machine learning, Congresses.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

COM021030

موضوع مستند نشده

UNF

موضوع مستند نشده

UNF

موضوع مستند نشده

UYQE

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Boumerdassi, Selma

مستند نام اشخاص تاييد نشده

Mühlethaler, Paul

مستند نام اشخاص تاييد نشده

Renault, Éric, (Computer scientist)

مستند نام تنالگان تاييد نشده

MLN (Conference)(1st :2018 :, Paris, France)

تاريخ عمليات

20200823091132.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y