Sökning: "evaluation human resource"

Visar resultat 1 - 5 av 72 uppsatser innehållade orden evaluation human resource.

  1. 1. Designprocessen och maskininlärning: Framtiden för användarcentrerad design

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

    Författare :Lisa Marie Karin Gärdhammar; [2024]
    Nyckelord :Artificial Intelligence; Machine Learning; Design process; Journey Mapping; Empathy; User experience; Customer experience; Artificiell intelligens; Maskininlärning; Designprocessen; Journey Mapping; Empati; Användarupplevelse; Kundupplevelse;

    Sammanfattning : Artificiell intelligens (AI) och i synnerhet maskininlärning (ML) har inom UX-design visat potential att förbättra designprocessen genom att exempelvis identifiera användargrupper från stora datamängder, effektivisera idégenerering och automatisera repetitiva uppgifter. Det råder dock oenighet kring hur tekniken kan integreras i designprocessen. LÄS MER

  3. 2. ATTRAHERA OCH BEHÅLLA REKRYTERARE - En kvantitativ undersökning inom rekryteringsbranschen om vad medarbetare uppskattar hos arbetsgivare

    Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

    Författare :Johanna Kalered Martinsson; Thyra Svensson; [2023-09-13]
    Nyckelord :Employer Branding; Employer Value Propositions; Generations; Human Resource Management; Talent Attraction;

    Sammanfattning : This study aims to investigate which employer value propositions, EVPs, are valued most highly by employees in the recruitment industry. The study's purpose is further extended to examine whether generational differences can be observed in the evaluation of EVPs. A quantitative approach with a questionnaire survey was used. LÄS MER

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

    Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

    Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  5. 4. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

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

    Författare :Ishika Gupta; [2023]
    Nyckelord :Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

    Sammanfattning : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. LÄS MER

  7. 5. Context-aware Swedish Lexical Simplification : Using pre-trained language models to propose contextually fitting synonyms

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Emil Graichen; [2023]
    Nyckelord :automatic text simplification; lexical simplification; Swedish; BERT; GPT-3; evaluation dataset; synonymy;

    Sammanfattning : This thesis presents the development and evaluation of context-aware Lexical Simplification (LS) systems for the Swedish language. In total three versions of LS models, LäsBERT, LäsBERT-baseline, and LäsGPT, were created and evaluated on a newly constructed Swedish LS evaluation dataset. LÄS MER