Essays about: "Obalanserat dataset"

Found 5 essays containing the words Obalanserat dataset.

  1. 1. Automatic event detection oncontinuous glucose datausing neural networks

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : David Borghäll; [2023]
    Keywords : Automatic Event Detection; Continuous Glucose Monitor; Deep Learning; Diabetes Mellitus; Automatisk Eventdetektion; Kontinuerlig Glukosmätare; Djupinlärning; Diabetes;

    Abstract : Automatically detecting events for people with diabetes mellitus using continuousglucose monitors is an important step in allowing insulin pumps to automaticallycorrect the blood glucose levels and for a more hands-off approach to thedisease. The automatic detection of events could also aid physicians whenassisting their patients when referring to their continuous glucose monitordata. READ MORE

  2. 2. Machine Learning for Improving Detection of Cooling Complications : A case study

    University essay from KTH/Industriell produktion

    Author : William Bruksås Nybjörk; [2022]
    Keywords : Temperature controllable containers; Machine Learning; imbalanced data; data analysis; noisy labels; feature engineering; threshold tuning;

    Abstract : The growing market for cold chain pharmaceuticals requires reliable and flexible logistics solutions that ensure the quality of the drugs. These pharmaceuticals must maintain cool to retain the function and effect. Therefore, it is of greatest concern to keep these drugs within the specified temperature interval. READ MORE

  3. 3. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  4. 4. Loss Given Default Estimation with Machine Learning Ensemble Methods

    University essay from KTH/Matematisk statistik

    Author : Elina Velka; [2020]
    Keywords : Loss Given Default; Non-Performing Loans; Internal Ratings Based Approach; Machine Learning; Decision Tree; Random Forest; Boosted Method; Förlust vid fallissemang; Icke-presterande lån; Intern riskklassificeringsmetod; Maskininlärning; Decision Tree; Random Forest; Boosted Metod;

    Abstract : This thesis evaluates the performance of three machine learning methods in prediction of the Loss Given Default (LGD). LGD can be seen as the opposite of the recovery rate, i.e. the ratio of an outstanding loan that the loan issuer would not be able to recover in case the customer would default. READ MORE

  5. 5. A machine learning approach to EEG based prediction of user's music preferences

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

    Author : Malcolm Bagger Toräng; Kasper Aldrin; [2019]
    Keywords : ;

    Abstract : Music has many benefits for our mood and feelings, especially so when we get to choose our own favorite music. However, accessing one's favorite music is not as easy for everyone. For motorically disabled and locked-in people, interacting with devices used for listening to music is challenging since it requires physical interaction. READ MORE