Sökning: "choice architecture"

Visar resultat 1 - 5 av 332 uppsatser innehållade orden choice architecture.

  1. 1. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jonna Matthiesen; [2023-10-24]
    Nyckelord :Compression; Deep Learning; DNN; Hyperparameters; Optimization; Pruning; Hyperparameter Optimisation; Hyperparameter Tuning;

    Sammanfattning : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. LÄS MER

  2. 2. Mind The Gap Between Your Intelligence And Choice Architecture

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Amanda Liljevall; Emelie Lillskog; [2023-07-03]
    Nyckelord :Cookie consent notices; cookie banner; choice architecture; consumer choice behaviour; general data protection regulation; GDPR; online privacy; web content analysis;

    Sammanfattning : Digital footprints of online behaviour are now possible to gather through the use of cookies. As a result, consumer activities once considered private are now monitored and used by online businesses and marketers, providing them with information about who we are, what we think, and what we like. LÄS MER

  3. 3. Radar and sea clutter simulation with Unity 3D game engine

    M1-uppsats, Linköpings universitet/Programvara och system

    Författare :Mikael Johnsson; Linus Bergman; [2023]
    Nyckelord :radar simulation; sea clutter simulation; game engine; Unity; ray tracing; compute shader; graphics programming; GPU; radarsimulering; sjöklottersimulering; spelmotor; Unity; strålspårning; compute shader; grafisk programmering; GPU;

    Sammanfattning : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. LÄS MER

  4. 4. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  5. 5. Blockchains and Smart Contracts for Cryptocurrency : An Analysis of Their Functionality and Performance

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

    Författare :Oussama Safi; Melik Atabeyli; [2023]
    Nyckelord :Smart Contracts; Blockchains; Cryptocurrency; Digital assets; Consensus mechanisms; Smarta Kontrakt; Blockkedjor; Kryptovaluta; Digitala tillgångar; Konsensus mekanismer;

    Sammanfattning : Smart contracts are self-executing electronic contracts. Amongst its deployed applications in the digital world is providing a decentralized and transparent method for executing transactions of cryptocurrencies on blockchains. LÄS MER