Essays about: "Minnesanvändning"

Showing result 1 - 5 of 49 essays containing the word Minnesanvändning.

  1. 1. 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

  3. 2. 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

  4. 3. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Emil Högstedt; Ove Ødegård; [2023]
    Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

    Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE

  5. 4. Performance analysis of SwiftUI and UIKit : A comparison of CPU time and memory usage for common user interface elements

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

    Author : Benjamin Ronneling; [2023]
    Keywords : SwiftUI; UIKit; Performance analysis; SwiftUI; UIKit; Prestationsanalys;

    Abstract : In today's digital era, smartphones have evolved into an important part of our daily routine, thereby raising the bar for high-quality applications that deliver premium user experiences. In this landscape, UIKit and SwiftUI have emerged as two noteworthy user interface frameworks in the realm of iOS development, with UIKit having a longstanding foothold and SwiftUI displaying newer declarative coding style. READ MORE

  6. 5. Performance Evaluation of Kotlin Multiplatform Mobile and Native iOS Development in Swift

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

    Author : Anna Skantz; [2023]
    Keywords : Kotlin Multiplatform Mobile; Cross-platform; Native; iOS; Kotlin; Swift; Performance Evaluation; Benchmarking; Mobile; Garbage Collection; Kotlin Multiplatform Mobile; Plattformsoberoende; Native; iOS; Kotlin; Swift; Prestandautvärdering; Benchmarking; Mobil; Garbage Collection;

    Abstract : Today's mobile development resides in the two main operating systems Android and iOS. It is popular to develop mobile applications individually for each respective platform, referred to as native development. To reduce additional costs, cross-platform solutions have emerged that enable shared development for both platforms. READ MORE