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Visar resultat 16 - 20 av 204 uppsatser som matchar ovanstående sökkriterier.

  1. 16. AI Based Methods for Matrix Multiplication in High Resolution Simulations of Radio Access Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Marcus Johnson; Herman Forslund; [2023]
    Nyckelord :Product-Quantization; MADDNESS; Radio Access Networks; Channel Estimation; MIMO; Approximate Matrix Multiplication; Pruduktkvantisering; MADDNESS; RAN; MIMO; Approximativa matrismultiplikation;

    Sammanfattning : The increasing demand for mobile data has placed significant strain on radio access networks (RANs), leading to a continuous need for increased network capacity. In keeping with that, a significant advancement in modern RANs is the ability to utilize several receivers and transmitters, to allow for beamforming. LÄS MER

  3. 17. Applying unprocessed companydata to time series forecasting : An investigative pilot study

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :August Rockström; Emelie Sevborn; [2023]
    Nyckelord :Demand Forecasting; Irregular Time Series; Sales Prediction; Dataset Evaluation; Data Preprocessing;

    Sammanfattning : Demand forecasting for sales is a widely researched topic that is essential for a business to prepare for market changes and increase profits. Existing research primarily focus on data that is more suitable for machine learning applications compared to the data accessible to companies lacking prior machine learning experience. LÄS MER

  4. 18. Sentimental Analysis of CyberbullyingTweets with SVM Technique

    Kandidat-uppsats,

    Författare :Hrushikesh Thanikonda; Kavya Sree Koneti; [2023]
    Nyckelord :Cyberbullying tweets; Dataset; Data preprocessing; Machine Learning; Supervised Learning; Support Vector Machine; Validation.;

    Sammanfattning : Background: Cyberbullying involves the use of digital technologies to harass, humiliate, or threaten individuals or groups. This form of bullying can occur on various platforms such as social media, messaging apps, gaming platforms, and mobile phones. With the outbreak of covid-19, there was a drastic increase in utilization of social media. LÄS MER

  5. 19. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

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

    Författare :Luciano Zapata; [2023]
    Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

    Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

  7. 20. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning

    Kandidat-uppsats, Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Författare :Joar Lönngren; Ludwig Tiston; [2023]
    Nyckelord :Machine Learning; Neural Network; Cosmic Dust; Solar Orbiter; Space Physics; Space Dust;

    Sammanfattning : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. LÄS MER