rubiruchi Goto Github PK

traffic-optimization

Finds optimal time for a traffic signal counter, depending upon traffic flow rate across the network.

traffic-optimization-with-rl

inzva AI Projects #2 - Traffic Optimization using Reinforcement Learning Project

traffic-steering-application-for-data-center-networks

POX Controller for complex fat tree (clos network) topologies of 2-3 levels using SDN and Mininet

traffic_classification

network traffic classification research project

traffic_flow_code

short term traffic forecasting using deep learning architectures

traffic_prediction

The source code for citywide wireless traffic prediction based on deep learning (DenseNet)

traffic_sign_classifier

Traffic sign classifier for the Udacity Self-Driving Car Engineering Nanodegree

trafficflowoptimization

trafficflowsimulator

Research on using social media for convention formation in traffic networks

transfer-learning-for-animal-classification-in-tensorflow

Siraj Raval's Weekly Challenge Accepted :sunglasses:

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

transferlearningtutorial

Applying transfer learning to a custom dataset by retraining Inception's final layer

transferring_real_file_wsn_v9.0

Updated on 21 February 2017

trust-management-framework-for-sdn-controller-and-network-applications

Thesis Code Repository

tsa-mininet

Reproducing Network Research for paper TSA: Integrating Wireless Terminals into Globally Optimal Software-Defined Networks

tt

ttcn3-nfv-service-profiling

TTCN3-based NFV service profiling prototype by Christian Dröge

tweetsky

A WSN twitter clone for TinyOS with directed diffusion routing.

uav-based-person-re-identification-and-dynamic-image-routing-using-wmns

uav-path-optimization

2016 National Graduate Student Mathematical Contest in modeling, Project A

udacity-sdnd-keras-lab

Udacity Self-Driving Car Nanodegree keras Lab

udpspeeder

A Tunnel which Improves your Network Quality on a High-latency Lossy Link by using Forward Error Correction,for All Traffics(TCP/UDP/ICMP)

undergrad-research---fast-failover-in-sdn

Experimental Evaluations of performance optimization mechanisms in traditional and software-defined networks.

understanding-the-modeling-of-network-delays-using-nn

Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central technique to many networking functions, for instance in the field of optimization, in which the model is used to search a configuration that satisfies the target policy. In this paper, we aim to provide an answer to the following question: Can neural networks accurately model the delay of a computer network as a function of the input traffic? For this, we assume the network as a black-box that has as input a traffic matrix and as output delays. Then we train different neural networks models and evaluate its accuracy under different fundamental network characteristics: topology, size, traffic intensity and routing. With this, we aim to have a better understanding of computer network modeling with neural nets and ultimately provide practical guidelines on how such models need to be trained.

unet4cooja

BRTOS with uNet for Cooja environment.

unetlab

universalcachingpolicy

The project focuses on developing an Universal Caching Policy for SDN enabled network by employing Deep Learning based algorithm.

unveiling-the-potential-of-gnn-for-network-modeling-and-optimization-in-sdn

usdn

µSDN: A low-overhead SDN stack and embedded SDN controller for Contiki.

using-weka-and-python-for-data-mining-jupyter-notebook

Invoking WEKA from Python: Jupyter Notebook Scripts