Essays about: "Complexity metrics"

Showing result 1 - 5 of 145 essays containing the words Complexity metrics.

  1. 1. 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

  3. 2. Evaluating ChatGPT’s Ability to Compose Music Using the MIDI File Format

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marcus Warnerfjord; [2023]
    Keywords : ;

    Abstract : This thesis examines the capabilities of the artificial intelligence model (AI), ChatGPT 3.5-turbo, to compose valuable music in a digital format (MIDI) from natural language prompts. Implementing a multifaceted quantitative approach, the study combines objective musical metrics with subjective user evaluations. READ MORE

  4. 3. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

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

    Author : Laura Galera Alfaro; [2023]
    Keywords : Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

    Abstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE

  5. 4. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

  6. 5. Defining an Evaluation Model for Container Orchestration Operator Frameworks

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : André Arnesson; Samuel Alberius; [2023]
    Keywords : container orchestration; cloud native application; operator; software framework; evaluation model; Technology and Engineering;

    Abstract : The growing complexity of cloud native applications has necessitated the intro- duction of operators to the container orchestration tools’ suite of components. Operators affords developers the ability to encode domain knowledge and make fine-grained controllers for their Kubernetes clusters, radically extending the range of feasible applications to host. READ MORE