Essays about: "Träffsäkerhet"

Showing result 1 - 5 of 158 essays containing the word Träffsäkerhet.

  1. 1. Comparison of Hebbian Learning and Backpropagation for Image Classification in Convolutional Neural Networks

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

    Author : Teodor Morfeldt Gadler; [2023]
    Keywords : ;

    Abstract : Current commonly used image recognition convolutional neural networks share some similarities with the human brain. However, the differences are many and the well established backpropagation learning algorithm is not biologically plausible. READ MORE

  3. 2. Comparing machine learning algorithms for detecting behavioural anomalies

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Fredrik Jansson; [2023]
    Keywords : Anomaly Detection; Machine Learning; Behavioural Anomalies;

    Abstract : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. READ MORE

  4. 3. Hit song analysis on the Swedish music market : An exploration of hit song classification

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

    Author : David Hurtig; Petter Lager; [2023]
    Keywords : Music; Audio; Machine-learning; Hit-songs; Hit song prediction;

    Abstract : Assessing hit song potential is a challenge in the music industry. The question of what song to promote, which song to release first and whether or not it will succeed has always been an issue for stakeholders in the music business. The ability to statistically evaluate hit song potential is a growing field with several studies exploring the topic. READ MORE

  5. 4. 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

  6. 5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

    University essay from KTH/Mekatronik och inbyggda styrsystem

    Author : Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Keywords : Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

    Abstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE