Essays about: "Train scheduling"

Showing result 1 - 5 of 11 essays containing the words Train scheduling.

  1. 1. Using machine learning for resource provisioning to run workflow applications in IaaS Cloud

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

    Author : William Våge; [2019]
    Keywords : ;

    Abstract : The rapid advancements of cloud computing has made it possible to execute large computations such as scientific workflow applications faster than ever before. Executing workflow applications in cloud computing consists of choosing instances (resource provisioning) and then scheduling (resource scheduling) the tasks to execute on the chosen instances. READ MORE

  2. 2. Exploring the possibility of combining the Swedish Perioperative Register with machine learning to predict surgery durations

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

    Author : Michael Ohlsson; [2018]
    Keywords : ;

    Abstract : The operating room is one of the most expensive resources at a hospital and it is therefore important that the scheduling of surgeries is done in an optimal way. Underand overestimations can lead to both risks and costs associated with inefficient use of the operating room. READ MORE

  3. 3. Control of Residential Battery Charge Scheduling using Machine Learning

    University essay from KTH/Energiteknik

    Author : Paul Raymond Graham; [2018]
    Keywords : ;

    Abstract : This thesis proposes the use of a Reinforcement Learning (RL) agent to control the charge scheduling of a residential battery system. The system consists of a house located in Sweden equipped with a photo-voltaic array and grid-connection. Real residential load data is used while the PV output is simulated. READ MORE

  4. 4. Algorithm for inserting a single train in an existing timetable

    University essay from Linköpings universitet/Kommunikations- och transportsystemLinköpings universitet/Tekniska högskolan; Linköpings universitet/Kommunikations- och transportsystemLinköpings universitet/Tekniska högskolan

    Author : Fredrik Ljunggren; Kristian Persson; [2017]
    Keywords : Timetabling; Label-setting algorithm; Robustness; Macroscopic model; Congested network; Train scheduling;

    Abstract : The purpose with this report is to develop a network based insertion algorithm and evaluate it on a real-case timetable. The aim of the algorithm is to minimize the effect that that train implementation cause on the other, already scheduled traffic. READ MORE

  5. 5. GPU integration for Deep Learning on YARN

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Robin Andersson; [2017]
    Keywords : ;

    Abstract : In recent years, there have been many advancements in the field of machine learning and adoption of its techniques in many industries. Deep learning is a sub-field of machine learning that is largely attributed to many of recent innovative applications such as autonomous driving systems. READ MORE