Essays about: "Supervised machine learning"

Showing result 11 - 15 of 448 essays containing the words Supervised machine learning.

  1. 11. Analyzing How Blended Emotions are Expressed using Machine Learning Methods

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

    Author : Disen Ling; [2023]
    Keywords : Blended emotion; Supervised learning; Model generalization capability; Ablation study; Blandade känslor; Övervakad inlärning; Modellens generaliseringsförmåga; Ablationsstudie;

    Abstract : Blended emotion is a classification of emotional experiences that involve the combination of multiple emotions. Research on the expression of blended emotions allows researchers to understand how different emotions interact and coexist in an individual’s emotional experience. READ MORE

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

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Jaysmita Khanindra Chaliha; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  4. 13. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach

    University essay from Umeå universitet/Institutionen för fysik

    Author : Emelie Sjökvist; [2023]
    Keywords : ;

    Abstract : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. READ MORE

  5. 14. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

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

    Author : Sandra Tor; [2023]
    Keywords : Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE

  6. 15. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : William Tirmén; [2023]
    Keywords : Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

    Abstract : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. READ MORE