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Visar resultat 1 - 5 av 36 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Användning av artificiella neurala nätverk (ANNs) för att upptäcka cyberattacker: En systematisk litteraturgenomgång av hur ANN kan användas för att identifiera cyberattacker

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nathalie Wongkam; Ahmed Abdulkareem Shameel Shameel; [2023]
    Nyckelord :Machine learning; Artificial neural networks; Intrusion detection systems; Network traffic; System log; Maskininlärning; Artificiellt neurala nätverk; Intrångsdetekteringssystem; Nätverkstrafik; Systemloggar;

    Sammanfattning : Denna studie undersöker användningen av maskininlärning (ML), särskilt artificiella neurala nätverk (ANN), inom nätverksdetektering för att upptäcka och förebygga cyberattacker. Genom en systematisk litteraturgenomgång sammanställs och analyseras relevant forskning för att erbjuda insikter och vägledning för framtida studier. LÄS MER

  3. 2. Humans in the loop - Mapping the current critical debate on AI in the Information Systems discipline

    Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och media

    Författare :Wibke Hannah Du Rietz; [2023]
    Nyckelord :AI; algorithm; ethics; epistemology; metatheory; IS research; sociotechnical perspective; research paradigm; critical research; literature review; content analysis; thematic analysis; abduction; abductive approach; socioanalysis; Bourdieu;

    Sammanfattning : AI is a phenomenon that does not only manifest itself as a disruptive technology, but also entails a paradigmatic shift with conceivably unprecedented and unforeseeable consequences for society and the human condition. This technology with its components Big Data and Machine Learning/algorithms has evoked critical reactions because of ethical concerns that follow on the backwash of its ubiquitous and ever more expanding use. LÄS MER

  4. 3. Improving the guidance, navigation and control design of the KNATTE platform

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

    Författare :Lars Lundström; [2023]
    Nyckelord :Multisensor Data Fusion; Nonlinear Kalman Filter; Neural Network;

    Sammanfattning : For complex satellite missions that rely on agile and high-precision manoeuvres, the low-friction aspect of the space environment is a critical component in understanding the attitude control dynamics of the spacecraft. The Kinesthetic Node and Autonomous Table-Top Emulator (KNATTE) is a three-degree-of-freedom frictionless vehicle that serves as the foundation of a multipurpose platform for real-time spacecraft hardware-in-the-loop experiments, and allows emulation of these conditions in two dimensions with the purpose of validating various guidance, navigation, and control algorithms. LÄS MER

  5. 4. Machine Learning-based MIMO Indoor Positioning

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

    Författare :Qiyi Chen; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER

  7. 5. Effects of AI-Generated Content (AIGC) in the Game Development : From traditional PCG to AIGC

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Zhuoheng Shen; [2023]
    Nyckelord :AI-generated content; Procedural content generation; Game development;

    Sammanfattning : This paper aims to investigate the effect of AI-generated content (AIGC) when it starts to be applied in game development. AIGC in games refers to the generation of game content through artificial intelligence, a concept that has recently recieved a high level of attention due to the latest rapid developments in artificial intelligence, and in traditional research, AIGC can be categorized as an advanced approach to Procedural Content Generation (PCG), i. LÄS MER