Essays about: "Traffic predictions"

Showing result 21 - 25 of 46 essays containing the words Traffic predictions.

1. 21. Traffic Load Predictions Using Machine Learning : Scale your Appliances a priori

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Michail Xirouchakis; [2018]
   Keywords : Network Function Virtualization; Software Defined Networking; Machine Learning; Predictions; Network Function Virtualization; Software Defined Networking; Maskininlärning; Prognoser;

   Abstract : Layer 4-7 network functions (NF), such as Firewall or NAPT, have traditionally been implemented in specialized hardware with little to no programmability and extensibility. The scientific community has focused on realizing this functionality in software running on commodity servers instead. Despite the many advancements over the years (e.g. READ MORE

3. 22. Predicting bat occurrence : evaluation of a connectivity-based habitat index for Swedish bats

   University essay from SLU/Dept. of Ecology

   Author : Gesa von Hirschheydt; [2018]
   Keywords : bats Chiroptera ; bat habitat index; ecological impact assessment; flight friction; cost distance analysis; landscape permeability;

   Abstract : Ecological impact assessments are required for all large infrastructure or exploitation projects because of their effects on environment and species. Methods that would make such assessments more standardised, efficient and reliable are highly desirable in today’s society, where many species are decreasing due to human-induced habitat modifications. READ MORE

4. 23. Developing a spiking neural model of Long Short-Term Memory architectures

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

   Author : Isabella Pozzi; [2018]
   Keywords : Physics and Astronomy;

   Abstract : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. READ MORE

5. 24. Learning wireless channel models to design real-time communications from vehicles

   University essay from Högskolan i Halmstad/Centrum för forskning om inbyggda system (CERES)

   Author : Wouter Dankers; [2018]
   Keywords : ;

   Abstract : The aim of this project is to analyze a data log of wireless packet traffic, and to produce: (1) models for dynamic fluctuations in wireless channel and link quality, and, (2) a design for real-time communications over the given wireless channel. The models and designs are useful in setting up real-time communications in a vehicular test track (www. READ MORE

6. 25. Scalable System-Wide Traffic Flow Predictions Using Graph Partitioning and Recurrent Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jón Reginbald Ivarsson; [2018]
   Keywords : Traffic Flow Prediction; Machine Learning; Recurrent Neural Network; Graph Partitioning; Big Data; Trafikprognoser; Maskininlärning; Återkommande Neuralt Nätverk; Graf Partitionering; Big Data;

   Abstract : Traffic flow predictions are an important part of an Intelligent Transportation System as the ability to forecast accurately the traffic conditions in a transportation system allows for proactive rather than reactive traffic control. Providing accurate real-time traffic predictions is a challenging problem because of the nonlinear and stochastic features of traffic flow. READ MORE