Essays about: "advanced statistics"

Showing result 1 - 5 of 52 essays containing the words advanced statistics.

  1. 1. Segment Routing Based Traffic Engineering : A QoS adaptive rerouting using segment routing approach based on IPv6 to mitigate network congestion

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

    Author : Sepehr Javid; [2023]
    Keywords : Segment Routing with IPv6; Quality of Service; Congestion; Extended Berkeley Packet Filter; Segmentering av vägval med IPv6; Tjänstekvalitet; Överbelastning; Utökad Berkeley Packet Filter;

    Abstract : In modern networks, the increasing volume of network traffic and the diverse range of services with varying requirements necessitate the implementation of more advanced routing decisions and traffic engineering. This academic study proposes a QoS adaptive mechanism called "Sepitto", which utilizes Segment routing protocols, specifically SRv6, to address network-traffic control and congestion avoidance. READ MORE

  3. 2. Risk- och skyddsfaktorer för skador i rörelseapparaten hos svenska agilityhundar

    University essay from SLU/Dept. of Clinical Sciences

    Author : Christopher Kontosic; [2023]
    Keywords : epidemiologi; sport; agility; hund;

    Abstract : Syfte: Agility är en fartfylld hundsport som kräver mycket av utövarna, där ca 30 % av de utövande hundarna har rapporterats skadas. Flera studier har gjorts för att utvärdera skadeförekomst och riskfaktorer för skada men på grund av en hög komplexitet i skadeetiologin är området fortfarande relativt outforskat. READ MORE

  4. 3. An Artificial Neural Network Approach to Algorithmic Trading

    University essay from Lunds universitet/Matematisk statistik

    Author : Timmie Bengtsson; [2023]
    Keywords : Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

    Abstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE

  5. 4. A Continuous-time ODE Framework to Centrality in Dynamic Networks

    University essay from Lunds universitet/Matematikcentrum; Lunds universitet/Matematik (naturvetenskapliga fakulteten)

    Author : Francisco Garcia Atienza; [2023]
    Keywords : networks; centrality; continuous-time; matrix logarithm; ode framework; katz; resolvent; Mathematics and Statistics;

    Abstract : The present study discusses and evaluates a novel continuous-time approach to network centrality, a fundamental concept in network analysis. Static methods based on discrete snapshots or time slices for measuring node interaction in networks that change over time do not fully capture the dynamical nature of network evolution. READ MORE

  6. 5. Estimating the risk of insurance fraud based on tonal analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Henrik Steneld; [2022]
    Keywords : Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Abstract : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. READ MORE