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

  1. 1. Extraction of Global Features for enhancing Machine Learning Performance

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

    Författare :Abyel Tesfay; [2023]
    Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

    Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER

  3. 2. Analyzing user feedback written inmultiple languages and automatically identifyingrequirements from that feedback

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Bhargav Sakamuri; Rithika Vardhan; [2023]
    Nyckelord :Multi-lingual; NLP; Requirements; Automation; Tweets;

    Sammanfattning : Background. Requirements gathering is the most important and often an errorprone task in the software development cycle. There is no perfect procedure to getthe requirements for the developing product. Every organization employs its way ofextracting requirements, and the most common way is to extract requirements fromuser stories. LÄS MER

  4. 3. A Comparative Study on Efficiency and Scalability of Integer and String Datasets in cuDF and pandas

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

    Författare :Anton Schulz; Emil Sjölander; [2023]
    Nyckelord :;

    Sammanfattning : This thesis presents a comparative analysis of cuDF and pandas, two Python data processing libraries, with a focus on performance, limitations, and scalability when handling integer and string datasets. The study aims to assess the efficiency and suitability of cuDF as a potential alternative to pandas in scenarios where high-performance data processing is required. LÄS MER

  5. 4. Identifiering av laster i hushåll med andra generationens elmätare

    M1-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Albin Spook; Tim Söderlind; [2023]
    Nyckelord :Elmätare; elbil; elbilsladdning; Kaifa MA304; eluppvärmning; fjärrvärme; elnät; upplösning;

    Sammanfattning : With new smart power meters being installed in the households of Sweden an opportunity has presented itself. It allows the distribution companies to collect a variety of different measurements such as voltage in each phase and the total reactive and active power flowing to and from the customers. LÄS MER

  7. 5. Besökarpåverkan och hägnutnyttjande hos röd panda (Ailurus fulgens) på Nordens Ark

    Kandidat-uppsats, SLU/Dept. of Animal Environment and Health

    Författare :Tove Brohede; [2022]
    Nyckelord :Röd panda; Ailurus fulgens; besökarpåverkan; hägnutnyttjande; välfärd; djurpark;

    Sammanfattning : Visitors at zoos have an effect on zoo animals' behaviour and enclosure utilisation. This is something that most studies agree on, but whether that effect is positive or negative is disputed and seems to depend on many different elements ranging from species to habitat to routines at the zoo. LÄS MER