Sökning: "Binary Choice"

Visar resultat 1 - 5 av 84 uppsatser innehållade orden Binary Choice.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  3. 2. Is sugar as sweet to the palate asseeds are appetizing to the belly? : Taste responsiveness to seven sweet-tastingsubstances in white-faced sakis (Pithecia pithecia)

    Master-uppsats, Linköpings universitet/Institutionen för fysik, kemi och biologi

    Författare :Mikel Redin Hurtado; [2023]
    Nyckelord :Food-associated carbohydrates; relative sweetness; seed predation; steviol glycosides; taste preference thresholds; taste responsiveness; white-faced sakis;

    Sammanfattning : Differences in taste perception between species are thought to reflect evolutionaryadaptations to dietary specializations such as seed predation. By employing a two-bottlepreference test, the purpose of the current study was to evaluate the taste responsiveness forfive food-associated carbohydrates and two steviol glycosides in four adult white-faced sakis(Pithecia pithecia). LÄS MER

  4. 3. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  5. 4. Representation of Gender and Sexuality in Swedish ELT Textbooks : A Study of Language, Norms, and Stereotypes in Education

    Magister-uppsats, Stockholms universitet/Engelska institutionen

    Författare :Hanna Bixo; [2023]
    Nyckelord :Language; gender; sexuality; ELT; stereotypes; textbook research; norm critical pedagogy;

    Sammanfattning : Issues regarding how gender and sexuality are represented within different discourses have gained increased attention in the past decades. Within the field of language, gender, and sexuality, topics such as sexist language, stereotypes and heteronormativity have been continuously problematised as means of sustaining societal norms. LÄS MER

  7. 5. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER