Sökning: "support vector regression"

Visar resultat 1 - 5 av 213 uppsatser innehållade orden support vector regression.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

  3. 2. Android Malware Detection Using Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Rahul Sai Kesani; [2024]
    Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

  4. 3. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures

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

    Författare :Camille Finlinson Porter; [2023-03-22]
    Nyckelord :enzyme; protein; amino acid; protein structure; optimal catalytic temperature;

    Sammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER

  5. 4. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  7. 5. Aktiemarknadsprognoser: En jämförande studie av LSTM- och SVR-modeller med olika dataset och epoker

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Mads Nørklit Johansen; Jagtej Sidhu; [2023]
    Nyckelord :Stock Market Prediction; Long-Short Term Memory; Support Vector Regression; Prediction Accuracy; Financial Investments;

    Sammanfattning : Predicting stock market trends is a complex task due to the inherent volatility and unpredictability of financial markets. Nevertheless, accurate forecasts are of critical importance to investors, financial analysts, and stakeholders, as they directly inform decision-making processes and risk management strategies associated with financial investments. LÄS MER