Sökning: "sub optimizing"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden sub optimizing.

  1. 1. Evaluating and optimizing Transformer models for predicting chemical reactions

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

    Författare :Siva Manohar Koki; Supriya Kancharla; [2023-10-23]
    Nyckelord :Chemformer; transformer; evaluation; explainable AI; fine-tuning; machine learning;

    Sammanfattning : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. LÄS MER

  3. 2. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study

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

    Författare :Leila Bencheikh; Niklas Höglund; [2023-08-03]
    Nyckelord :ChatGPT; AI-detector accuracy; requirements; experimental study;

    Sammanfattning : This thesis explores the efficacy of ChatGPT in generating software requirements and compares its performance to human participants through an experimental study. The study addresses three main research questions (RQs), examining how ChatGPT-generated requirements align with human-written requirements, the variation in quality between different versions of ChatGPT using two additional sub-questions that look at improvement in quality from feedback and consistency of quality when the same prompt is queried multiple times, and the capacity of the Content at Scale AI detector in identifying AI-generated requirements. LÄS MER

  4. 3. Energy-Efficient Fixed-Coefficient FIR Filters for Millimeter-Wave Radios

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Erik Lundell; Gustav Molin; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : With the introduction of millimeter-wave antenna arrays in 5G base-stations and ever-increasing data volumes, the power consumption of the signal processing in digital radio systems has increased over the last decade. This, combined with increased cost and environmental awareness, has put focus on power optimization. LÄS MER

  5. 4. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

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

    Författare :Oskar Ahlqvist; [2023]
    Nyckelord :Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

    Sammanfattning : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. LÄS MER

  7. 5. Improving Co-existence of URLLC and Distributed AI using RL

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

    Författare :Wei Shi; [2023]
    Nyckelord :5G; URLLC; RL; HRL; Optimization; 5G; URLLC; RL; HRL; Optimering;

    Sammanfattning : In 5G, Ultra-reliable and low-Latency communications (URLLC) service is envisioned to enable use cases with strict reliability and latency requirements on wireless communication. For the upcoming 6G network, machine learning (ML) also stands an important role that introduces intelligence and further enhances the system performance. LÄS MER