Essays about: "Random Early Detection"

Showing result 1 - 5 of 17 essays containing the words Random Early Detection.

  1. 1. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application

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

    Author : Love Marcus; [2023]
    Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

    Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE

  3. 2. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

    University essay from Lunds universitet/Matematik LTH

    Author : Chloé Soormally; [2023]
    Keywords : Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

    Abstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE

  4. 3. Qualitative Image Selection with Active Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Linnea Allander; Torben Nordtorp; [2023]
    Keywords : Technology and Engineering;

    Abstract : In this work, an active learning pipeline is presented that allows for comparative tests between 3 different types of data scoring methods, uncertainty selection, diversity selection, and loss selection. Tests and parameter sweeps indicate that hyperparameters like reshuffling and early stopping are required to ensure fair comparisons. READ MORE

  5. 4. Predicting Chronic Kidney Disease using a multimodal Machine Learning approach

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Aakruti Mishra; Navaneeth Puthiyandi; [2023]
    Keywords : Chronic kidney disease; Multimodal approach; ROCKET; Random Forest; XGBoost; MIMIC-III database; Data imbalance; Temporal and static modalities; Soft voting;

    Abstract : Chronic Kidney Disease (CKD) is a common and dangerous health condition that requires early detection and treatment to be effective. Current diagnostic methods are time-consuming and expensive. In this research, we hope to construct a predictive model for CKD utilizing a combination of time series and static variables for early detection of CKD. READ MORE

  6. 5. Thrombotic events in Covid-19 patients using Meta-Analysis

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Ugonna Okeke; [2022]
    Keywords : ;

    Abstract : Corona virus disease caused by severe acute respiratory virus 2 causes blockage of the blood vessel which leads to thrombosis. Thrombotic events in covid-19 patients results to hospitalizations and death. And incidence of thrombosis in covid-19 patients have been increasing in most regions of the world. READ MORE