Essays about: "Syntetisk data"

Showing result 1 - 5 of 88 essays containing the words Syntetisk data.

  1. 1. Multi-Parameter Modelling of Surface Electromyography Data

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Ahmad Alosta; Josef Djärf; [2024]
    Keywords : Surface electromyography; modelling; Python; sEMG; decomposition; neuroengineering; motor unit; muscle; simulation; Technology and Engineering;

    Abstract : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. READ MORE

  3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE

  4. 3. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality

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

    Author : Martin Larsson; [2023]
    Keywords : Contraction Hierarchies; Customizable Contraction Hierarchies; Vehicle Routing Problem; Battery Electric Vehicles; Mixed Fleet; Kontraktionshierarkier; Anpassningsbara Kontraktionshierarkier; Ruttplanering; Batteridrivna elfordon; Blandad fordonsflotta;

    Abstract : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. READ MORE

  5. 4. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization

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

    Author : Fabio Camerota; [2023]
    Keywords : XLNet; BERT; Toxic Comment Classification; Entropy-based Attention Regularization; XLNet; BERT; Toxisk Kommentar Klassificering; Entropibaserad uppmärksamhetsreglering;

    Abstract : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. READ MORE

  6. 5. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

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

    Author : Lars Bergström; Dag Hjelm; [2023]
    Keywords : ;

    Abstract : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. READ MORE