Sökning: "genetic parameters"

Visar resultat 1 - 5 av 138 uppsatser innehållade orden genetic parameters.

  1. 1. Genetic consequences of translocations in the Doñana population of the endangered Iberian lynx

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Gaia Mora; [2024]
    Nyckelord :Conservation Genetics; Iberian lynx conservation; endangered species; species conservation;

    Sammanfattning : Conservation genetics for endangered species is crucial in long-term conservation actions.Inbreeding depression and genetic diversity are main genetic parameters with relevance toconservation. The Iberian lynx was by 2002 the most endangered felid in the world. LÄS MER

  3. 2. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Alireza Momtaz; Mohammad Befkin; [2024]
    Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

  4. 3. Anomaly Detection for Network Traffic in a Resource Constrained Environment

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Pontus Lidholm; Gaia Ingletto; [2023]
    Nyckelord :Network Traffic; Anomaly Detection; Embedded Systems; Machine Learning; Random Forest;

    Sammanfattning : Networks connected to the internet are under a constant threat of attacks. To protect against such threats, new techniques utilising already connected hardware have in this thesis been proven to be a viable solution. LÄS MER

  5. 4. Deployment planning of UAV Base Stations using Multi Objective Evolutionary Algorithms (MOEA)

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Nadir Arfi; [2023]
    Nyckelord :Deployment planning; UAV-Base Stations; multi-objective; evolutionary algorithms; fitness approximation;

    Sammanfattning : This research study focuses on solving the deployment planning problem for UAV-BSs using Multi-Objective Evolutionary Algorithms (MOEAs). The main research objectives encompass gridbased modelling of the target area, investigating evolution parameters, and evaluating algorithm performance in diverse deployment scenarios. LÄS MER

  7. 5. Optimizing Energy Consumption in a Real-Time System Using Artificial Intelligence

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Caroline Lisa Pereira; [2023]
    Nyckelord :;

    Sammanfattning : In energy-efficient real-time embedded system design, the objective is to reduce energy consumption while meeting the tasks' timing requirements. Real-time Dynamic Voltage and Frequency Scaling (DVFS) methods aim at achieving this by scaling the frequency at which a single processor or multiple processors in the system operate, but they often assume that the tasks' deadlines are known and their arrival times are regular. LÄS MER