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Visar resultat 1 - 5 av 267 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Defining an Evaluation Model for Container Orchestration Operator Frameworks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

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

    Sammanfattning : 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. LÄS MER

  3. 2. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Författare :Chenzhou Huang; [2023]
    Nyckelord :Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER

  4. 3. Use of e-health communication to improve social wellbeing in older adults : A Structured literature review

    Master-uppsats, Linnéuniversitetet/Institutionen för hälso- och vårdvetenskap (HV)

    Författare :Maria Talib; [2023]
    Nyckelord :;

    Sammanfattning : Abstract Introduction: The aged population is increasing and it correlates with comorbidities and hospital dependency. E-health communication is a potent source of communication between healthcare staff and people using it and it’s a non-medical way of getting access to health. LÄS MER

  5. 4. Extraction of Global Features for enhancing Machine Learning Performance

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

    Författare :Abyel Tesfay; [2023]
    Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

    Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER

  7. 5. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

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

    Författare :Tim Jonsson; [2023]
    Nyckelord :;

    Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER