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Visar resultat 1 - 5 av 20 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  3. 2. System Integration and Verification Verdict Automation using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Anthony Kommareddy; [2023]
    Nyckelord :Error Detection; Machine Learning; Deep Learning; Log Files; Verdicts.;

    Sammanfattning : Context: The volume of log files is massive as they contain vital information about the application’s behavior; they map out broad parts of the application, allowing us to understand how every component behaves, whether normally or abnormally. As a result, it is critical to examine the log files to see if the system is deviating from its usual path. LÄS MER

  4. 3. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

    Författare :Serghei Socolovschi; [2022]
    Nyckelord :Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

    Sammanfattning : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. LÄS MER

  5. 4. LSTM Feature Engineering Through Time Series Similarity Embedding

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sebastian Bångerius; [2022]
    Nyckelord :Embedding; time series; LSTM; feature engineering; DTW; correlation; prediction;

    Sammanfattning : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. LÄS MER

  7. 5. Will I Stay or Will I Churn?

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

    Författare :William Broman; Philip Eriksson; [2021]
    Nyckelord :churn prediction; neural network; habit; big data; logistic regression;

    Sammanfattning : Big data is transforming the way we understand and predict user behavior. One of these areas is customer churn prediction in mobile apps. This quantitative case study investigates which variables predict churn in a mobile wellness app, for the first week of use. LÄS MER