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Visar resultat 1 - 5 av 16 uppsatser som matchar ovanstående sökkriterier.

1. 1. Vikten av samtalsmetodik i relationsskapande : en kvalitativ studie om hälso- och sjukvårdskuratorers användning av samtalsmetodik i skapande av relationer med patienter i praktiken

   Magister-uppsats, Umeå universitet/Institutionen för socialt arbete

   Författare :Benjamin Wahlberg; Sahra Hosseini; [2023]
   Nyckelord :Relationship building; relationship; healthcare; healthcare counselor; counselor; conversational methodology; Relationsskapande; relation; hälso- och sjukvård; hälso- och sjukvårdskurator; kurator; samtalsmetodik;

   Sammanfattning : This study aims to investigate how professional healthcare counselors use conversational methodology to create relationships with patients in clinical practice, as well as how they solve potential obstacles and difficulties that may arise in building a relationship. This area of research is interesting to investigate because of the healthcare counselor license that was introduced back in 2019, and there is considered a need for further research on healthcare counselor’s work with relationship building in a Swedish context. LÄS MER

3. 2. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring

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

   Författare :Fredrik Gölman; [2023]
   Nyckelord :Knowledge base; Knowledge graph; Dialogue system; Chatbot; Electrical engineering; Education; Kunskapsbas; Kunskapsgraf; Dialogsystem; Chatbot; Elektroteknik; Utbildning;

   Sammanfattning : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. LÄS MER

4. 3. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

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

   Författare :Ali Shibli; [2022]
   Nyckelord :Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

   Sammanfattning : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. LÄS MER

5. 4. Mitt hem är min borg – Riskfaktorer hos män vid våld respektive dödligt våld mot kvinnor i nära relationer : En komparativ strukturerad litteraturstudie

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för hälsovetenskaper

   Författare :Åsa Carbeskär; Anna Persson; [2022]
   Nyckelord :;

   Sammanfattning : Introduktion: Mäns våld (IPV) respektive dödliga våld (IPH) mot kvinnor i nära relationer är ett allvarligt globalt folkhälsoproblem. Drygt en tredjedel av världens kvinnor uppger att de utsatts för fysiskt och/eller sexuellt våld under sin livstid. LÄS MER

7. 5. Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings using a Joint Loss Function

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

   Författare :Joseph Attieh; [2022]
   Nyckelord :Text Classification; Isotropy; Embeddings; BERT; IsoScore; Klassificering av Text; Isotropi; Inbäddningar; BERT; IsoScore;

   Sammanfattning : Recent studies show that the spatial distribution of the sentence representations generated from pre-trained language models is highly anisotropic, meaning that the representations are not uniformly distributed among the directions of the embedding space. Thus, the expressiveness of the embedding space is limited, as the embeddings are less distinguishable and less diverse. LÄS MER