Sökning: "Optimizing"

Visar resultat 1 - 5 av 1342 uppsatser innehållade ordet Optimizing.

  1. 1. Feature Selection for Microarray Data via Stochastic Approximation

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Erik Rosvall; [2024-03-18]
    Nyckelord :feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

    Sammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER

  3. 2. KONTRASTERANDE VÄGAR TILL EKONOMISK TILLVÄXT En jämförande studie av utländska direktinvesteringars inverkan i Serbien och Montenegro

    Kandidat-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Toni Lijesnic; [2024-02-06]
    Nyckelord :Utländska direktinvesteringar; BNP per capita; Sysselsättningsgraden; Montenegro; Serbien; Institutionell kvalitet; Spill-over effekter;

    Sammanfattning : Foreign direct investment (FDI) is widely regarded as a significant catalyst for economic development especially in emerging and developing economies. While previous research has found different effects from foreign direct investments in different countries this study aims to explore the varying effects of FDI in Serbia and Montenegro. LÄS MER

  4. 3. Insights Into Wind Profile Characteristics in the Arctic Marine Boundary Layer

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Charlotte Sophie Gausa; [2024]
    Nyckelord :Arctic; wind profile power law; MOST; boundary layer; low level jets; sea ice; vindprofil; Arktis; gränsskikt; vindenergi; låghöjdsvindar; havsis;

    Sammanfattning : The atmospheric boundary layer in the Arctic is essential for the understanding of climate change and improving regional weather prediction. The aim of this study is to investigate to which degree wind speed profiles retrieved in the Arctic agree with well known wind profile concepts and understand which local impact factors influence the wind speed profile. LÄS MER

  5. 4. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Habib Jabeli; [2024]
    Nyckelord :Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

    Sammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER

  7. 5. Age-optimal Trajectory Planning for Multiple-UAVAssisted Data Collectio

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :The Chuong Chu; [2024]
    Nyckelord :;

    Sammanfattning : Unmanned Aerial Vehicles (UAVs), or drones, have become a primary tool for data collection due to their rapid and easy mobility, particularly in the current era with a high demand for real-time information updates. To serve this need, optimizing data freshness during information collection is necessary. LÄS MER