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A Review on Machine Learning Strategies for Real-World Engineering Applications
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Mobile Information …,
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Taurus: a data plane architecture for per-packet ML
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Proceedings of the 27th …,
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A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
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Sensors,
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Cellular Traffic Prediction: A Deep Learning Method Considering Dynamic Non-Local Spatial Correlation, Self-Attention, and Correlation of Spatio-Temporal Feature …
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IEEE Transactions on …,
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An application of Artificial Neural Network solution in the apparel industry for Job distribution to subcontractors
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Advances in Engineering Software,
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Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts
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Sensors,
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Artificial Intelligence and Quantum Computing for Advanced Wireless Networks
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2022 |
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Knowledge defined networks on the edge for service function chaining and reactive traffic steering
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Cluster …,
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Estimation of the Probability of Buffer Overflow for Self-Similar Traffic
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2021 IEEE 8th International Conference …,
2021 |
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Optimization in ICN
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Multi-Target Learning Algorithm for Solar Radiation Components Forecasting Based on the Desired Tilt Angle of a Solar Energy System
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Uma integração de métodos de aquisição forense em tempo real nos sistemas PPDR da próxima geração
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sti ation o rst Ind and ra Si lation
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PV power prediction based on Artificial Neural Network optimized by Genetic Algorithm
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2021 9th …,
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Futuristic Analysis of Machine Learning Based Routing Protocols in Wireless Ad Hoc Networks
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2021 Fourth …,
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Observing, Predicting, and Enforcing Properties of Interactions in Data Centers
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Deadline-aware Bulk Transfer Scheduling in Best-effort SD-WANs
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Analysis of hybrid non-linear autoregressive neural network and local smoothing technique for bandwidth slice forecast
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TELKOMNIKA (Telecommunication Computing Electronics and Control),
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VR/AR Technology in Human Anatomy Teaching and Operation Training
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Ahead Half hour global solar radiation forecasting based on static and dynamic multivariable neural networks
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Half-hour global solar radiation forecasting based on static and dynamic multivariate neural networks
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基于神经网络和自回归模型的网络流量预测
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A Literature Survey and Bibliometric Analysis of Application of Artificial Intelligence Techniques on Wireless Mesh Networks
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Routing optimization meets Machine Intelligence: A perspective for the future network
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Neurocomputing,
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深層学習を用いた有線通信におけるネットワークトラフィック変動の予測手法
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マルチメディア, 分散協調 …,
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Multi-channel joint forecasting-scheduling for the Internet of Things
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Neural Network Models for Traffic Estimation in Mobile Networks in Lagos, Nigeria
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深度学习在软件定义网络研究中的应用综述
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Network traffic prediction based on INGARCH model
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ONE METHOD FOR COMPUTER NETWORKS TRAFFIC PREDICTION
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Live Migration Timing Optimization for VMware Environments using Machine Learning Techniques.
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Predicción del consumo del ancho de banda de las aplicaciones web en la nube nativa basada en machine learning
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Prediction-based Dynamic Capacity Alloction for Traffic Cost Minimization
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Taurus: An Intelligent Data Plane
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Estimation of Hurst Parameter for Self-similar Traffic
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Traffic Prediction Using Multifaceted Techniques: A Survey
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Prediction of traffic volume in BTS sites using deep learning
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Simulation of Fractional Brownian Motion and Estimation of Hurst Parameter
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2020 |
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スマートホームにおける自動運用管理のためのネットワークトラフィック生成フレームワーク
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Predicción del tráfico de una red inalámbrica basada en redes neuronales artificiales mediante el algoritmo de Levenberg-Marquardt Ramiro Osorio D. Martha …
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2019 |
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Машинное обучение для прогнозирования трафика в сети LTE
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МЕТОДЫ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ПРОГНОЗИРОВАНИЯ ТРАФИКА СЕТЕЙ МОБИЛЬНОЙ СВЯЗИ
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Delay Estimation in Fogs Based on Software-Defined Networking
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Explaining Class-of-Service Oriented Network Traffic Classification with Superfeatures
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LSTM Network Based Traffic Flow Prediction for Cellular Networks
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A new artificial multi-neural approach to estimate the hourly global solar radiation in a semi-arid climate site
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A CONCEPTUAL FRAMEWORK FOR NETWORK TRAFFIC CONTROL AND MONITORING USING ARTIFICIAL NEURAL NETWORKS
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Air temperature forecasting using artificial neural networks with delayed exogenous input
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Prediction of Traffic Congestion on Wired and Wireless Networks Using RNN
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Adaptive Bandwidth Allocation Based on Sample Path Prediction with Gaussian Process Regression
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A Machine Learning Approach of Load Balance Routing to Support Next-Generation Wireless Networks
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Short-Term Time Series Modelling Forecasting Using Genetic Algorithm
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Ship Traffic Volume Prediction Based on Optimized RBF Neural Network in Anqing Section of Yangtze River
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Self-similarity Analysis and Application of Network Traffic
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MLP Modeling and Prediction of IP Subnet Packets Forwarding Performance
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An efficient hybrid deep learning approach for internet security
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Required Bandwidth Capacity Estimation Scheme For Improved Internet Service Delivery: A Machine Learning Approach
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INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH,
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Elman Neural Network for Solar Radiation Components Forecasting based on the Desired Tilt Angle
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Machine learning for LTE network trafc prediction
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Network Security: Approach Based on Network Traffic Prediction
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Development of Internet Traffic Prediction Software Using Time-Series Multilayer Perceptron
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Network Traffic Prediction Using Recurrent Neural Networks
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A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
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Performance Measurement Study on Two Video Service Providers in China
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Methods of the Statistical Simulation of the Self-similar Traffic
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Mobile Forensic Data Analysis: Suspicious Pattern Detection in Mobile Evidence
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Towards Fine Grained Network Flow Prediction
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A cooperative neural network approach for enhancing data traffic prediction
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State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems
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FUZZY C-MEANS CLUSTERING BASED IMPROVED HYBRID NETWORK TRAFFIC PREDICTION MODEL
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Predicting the online performance of video service providers on the internet
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Network Traffic Prediction Based on Deep Belief Network in Wireless Mesh Backbone Networks
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Modeling of cutting performances in turning process using artificial neural networks
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Development of New Models Using Machine Learning Methods Combined with Different Time Lags for Network Traffic Forecasting
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Extending HOC-based methods for identifying the diagonal parameters of quadratic systems
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Forecasting Service Performance on the Basis of Temporal Information by the Conditional Restricted Boltzmann Machine
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Loss estimation and control mechanism in bufferless optical packet-switched networks based on multilayer perceptron
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Advancing Network Flow Information Using Collaborative Filtering
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AN INTELLIGENT RECOMMENDATION SYSTEM FOR TEACHING
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Modeling Key Parameters for Greenhouse using Neural Network Algorithms
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Network Traffic Forcasting in Informationtelecommunication System of Prydniprovsk Railways Based on Neuro-Fuzzy Network
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Modeling of surface roughness in turning process by using Artificial Neural Networks
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Modelling the Multi-Layer Artificial Neural Network for Internet Traffic Forecasting: The Model Selection Design Issues
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Predicting future traffic using Hidden Markov Models
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Classification of teletraffic service devices by κ-NN, ANFIS and ANN classificators
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Neural network based models for estimating the temperature and humidity under greenhouse
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Traffic Congestion Prediction using Soft computing
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Estimating the energy production of the wind turbine using artificial neural network
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Modeling Website Workload Using Neural Networks
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Machine Learning Aided Load Balance Routing Scheme Considering Queue Utilization
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The generalization ability of artificial neural networks in forecasting TCP/IP traffic trends: How much does the size of learning rate matter
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The Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Network Traffic Trends
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Optimizing qos parameters of high performance computer network using optimized artificial intelligence algorithms
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On the Optimal Learning Rate Size for the Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Traffic Trends.
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A NETWORK TRAFFIC PREDICTION MODEL BASED ON QUANTUM INSPIRED PSO AND WAVELET NEURAL NETWORK
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On the Optimal Learning Rate Size for the Generalization Ability of Artificial Neural Networks in Forecasting TCP/IP Traffic Trends
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Performance-oriented Cloud Provisioning: Taxonomy and Survey
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Vision based data extraction of vehicles in traffic
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A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks
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Information Sciences,
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Analysis of Prediction Techniques of Key Parameters in IP Networks
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A Neural Network Model for Improved Internet Service Resource Provisioning
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Mean Threshold and ARNN Algorithms for Identification of Eye Commands in an EEG-Controlled Wheelchair
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A Network Traffic Prediction Model Based on Quantum Inspired PSO and Neural Network
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An autoregressive neural network for recognition of eye commands in an EEG-controlled wheelchair
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Improving network response times using social information
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Social Network Analysis and Mining,
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An Intelligent Recommendation Framework for Student Counselling Management in Thai Private Universities
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Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN
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Channel quality prediction using neural networks
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An Optimum-Path Forest framework for intrusion detection in computer networks
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A Comparative Study of Nonlinear Time-Varying Process Modeling Techniques: Application to Chemical Reactor
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Journal of Intelligent Learning Systems and Applications,
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Neural networks and prediction of traffic
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Neural Modeling of Multivariable Nonlinear Stochastic System. Variable Learning Rate Case
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Intelligent Control and Automation,
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Intrusion detection system using optimum-path forest
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Modeling non linear real processes with ANN techniques
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Multimedia Computing and Systems (ICMCS), 2011 International Conference on. IEEE,
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Redes neuronales y predicción de tráfico
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Towards digital music performance for mobile devices based on magnetic interaction
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