Essays about: "performance metrics"

Showing result 6 - 10 of 1011 essays containing the words performance metrics.

  1. 6. A Comparative Analysis of the Ingestion and Storage Performance of Log Aggregation Solutions: Elastic Stack & SigNoz

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Robert Duras; [2024]
    Keywords : Elastic Stack; ELK; SigNoz; Beats; Logstash; Elasticsearch; Kibana; OpenTelemetry; ClickHouse; Log; Logging; Log Data; Log Aggregation; Performance; Ingestion; Storage;

    Abstract : As infrastructures and software grow in complexity the need to keep track of things becomes important. It is the job of log aggregation solutions to condense log data into a form that is easier to search, visualize, and analyze. READ MORE

  2. 7. Evaluation of Swedish daylight regulations in university building - Validation and applicability

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Cédric Berthou; [2024]
    Keywords : Daylight; Sweden; University building; modelling; Grasshopper; building performance simulation; Dagsljus; svenska föreskrifter; universitetsbyggnad; 3D-modellering; Grasshopper;

    Abstract : Daylight availability in buildings faces numerous challenges in a world where energy efficiency,thermal comfort, and sustainability take center stage. Daylight is well-known for its role in reducingartificial lighting consumption and enhancing the well-being and performance of building occupants. READ MORE

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

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 9. AI-based image generation: The impact of fine-tuning on fake image detection

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Nick Hagström; Anders Rydberg; [2024]
    Keywords : Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Abstract : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. READ MORE

  5. 10. Towards Performance Evaluation and Future Applications of eBPF

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Manideep Gunturu; Rohan Aluguri; [2024]
    Keywords : eBPF; XDP; Iptables; Filtering; Performance evaluation;

    Abstract : Extended Berkeley Packet Filter (eBPF) is an instruction set and an execution environment inside the Linux kernel. eBPF improves flexibility for data processing and is realized via a virtual machine featuring both a Just-In-Time (JIT) compiler and an interpreter running in the kernel. READ MORE