Sökning: "Umeå universitet Institutionen för datavetenskap"

Visar resultat 1 - 5 av 400 uppsatser innehållade orden Umeå universitet Institutionen för datavetenskap.

1. 1. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Johan Huusko; [2024]
   Nyckelord :;

   Sammanfattning : Data centers power consumption represent a substantial amount of the global power consumption. While hardware has improved over the years, this study focuses on the software side of optimization, looking at the power consumption differences in containers and virtual machines. LÄS MER

3. 2. Increasing Proactive Healthcare: An Automated Approach Within Screening Process For Breast Cancer

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Theresia Lundkvist; [2024]
   Nyckelord :Healthcare Processes; Automation; Design Thinking;

   Sammanfattning : Breast cancer is the most common cancer and 8 700 individuals in Sweden were diagnosed with breast cancer in 2021. Thanks to improved diagnostic methods and more effective treatment, nine out of ten women who develop breast cancer survive. LÄS MER

4. 3. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Sofia Leksell; [2024]
   Nyckelord :Federated Learning; Adversarial Attacks; Regression; Classification;

   Sammanfattning : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. LÄS MER

5. 4. An In-Depth study on the Utilization of Large Language Models for Test Case Generation

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Nicole Johnsson; [2024]
   Nyckelord :Large Language Models; Test Case Generation; Retrieval Augmented Generation; Machine Learning; Generative AI;

   Sammanfattning : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. LÄS MER

7. 5. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :William Pettersson; [2024]
   Nyckelord :Transformer; Decoder; Decoder-only; AI; Artificial intelligence; Generating; generative model; Chess;

   Sammanfattning : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. LÄS MER