Essays about: "Maskininlärningsmodell"

Showing result 1 - 5 of 69 essays containing the word Maskininlärningsmodell.

  1. 1. On The Evaluation of District Heating Load Predictions

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Herman Hansson; [2023]
    Keywords : Technology and Engineering;

    Abstract : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. READ MORE

  3. 2. Modeling PFAS Transport in Groundwater - Exploring current approaches and evaluating parameter importance

    University essay from Lunds universitet/Väg- och vattenbyggnad (CI); Lunds universitet/Teknisk geologi

    Author : Clara Eklund; [2023]
    Keywords : PFAS; Groundwater modeling; FEFLOW; Python; Machine learning; Technology and Engineering;

    Abstract : PFAS contamination in drinking water is a current problem, and new regulations for drinking water limits were recently implemented in each member country of the EU in January this year. Understanding the spread of PFAS in groundwater is therefore important to prevent it from reaching drinking water sources. READ MORE

  4. 3. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  5. 4. A Predictive Analysis of Customer Churn

    University essay from KTH/Matematisk statistik

    Author : Olivia Eskils; Anna Backman; [2023]
    Keywords : Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Abstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE

  6. 5. The Impact of Image Resolution on Lesion Detection in CT scans Using Machine Learning

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

    Author : William Koivula; Tomi Toma; [2023]
    Keywords : ;

    Abstract : Identifying cancer and other diseases that cause lesions (damages or abnormalities to tissue) early is crucial to assure the best treatment. However, lesions are often missed which can cause diseases to progress to an advanced-stage of the diseases which is harder to cure. READ MORE