Sökning: "performance evaluations"

Visar resultat 1 - 5 av 272 uppsatser innehållade orden performance evaluations.

  1. 1. Efficiency by design : A way to meet expert users' needs

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Nike Vejbrink Starbrink; [2024]
    Nyckelord :User Experience; Interaction Design; Usability; Expert Users; Efficiency;

    Sammanfattning : The administration software is a crucial component of any successful company. It is often overlooked, but it plays an essential role in ensuring the smooth operation of the business. It is the backbone of the company's operations, and it must be able to meet the evolving needs of its users. LÄS MER

  3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  4. 3. Increasing the diodicity of ceramic Tesla valves by exploiting the design freedom of additive manufacturing : A study in design optimizations of Tesla valves for ceramic 3D printing

    Master-uppsats, Uppsala universitet/Institutionen för materialvetenskap

    Författare :Udit Sharma; [2024]
    Nyckelord :additive; manufacturing; Tesla; valve; ceramic; 3D; printing;

    Sammanfattning : The work presented in this thesis was conducted at Uppsala University and at Fraunhofer IKTS, Dresden. The thesis aims to study design optimizations for increasing the diodicity and thereby performance of a Tesla valve, a type of “no moving parts” (NMP) valve, through design freedoms offered by ceramic additive manufacturing. LÄS MER

  5. 4. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Författare :Khalid El Yaacoub; [2024]
    Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

  7. 5. 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