Sökning: "Slumpmässig sökning"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Slumpmässig sökning.

  1. 1. Exploring New Physics Through Collider and Gravitational Wave Measurements with Artificial Neural Networks: the Case Study of QCD-like Technicolor

    Magister-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisation

    Författare :Ashar Ahmed Kamal; [2023]
    Nyckelord :Artificial Neural Networks; ANN; Beyond the Standard Model; BSM; parameter space scan; Physics and Astronomy;

    Sammanfattning : With physicists actively exploring Beyond the Standard Model (BSM) theories that may fill in the gaps of the Standard Model (SM), a fundamental question arises: which parameters hold physical significance? In this thesis, we present our initial progress towards the development of a model-independent artificial intelligence framework designed for conducting parameter space scans in BSM scenarios. Our framework incorporates several publicly available high-energy physics packages, namely SPheno, HiggsBounds, HiggsSignals, and CosmoTransitions. LÄS MER

  3. 2. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

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

    Författare :Amanda Strömdahl; [2023]
    Nyckelord :Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

    Sammanfattning : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. LÄS MER

  4. 3. Initial access in 5G mmWave networks with different base station parameters

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

    Författare :Xiao Yang; [2022]
    Nyckelord :Initial Access; Millimeter-Wave Network; Cell Search; Random Search; Genetic Algorithm; Machine Learning; Första åtkomst; Millimetervågsnätverk; Cell sökning; Slumpmässig sökning; Genetisk algoritm; Maskininlärning;

    Sammanfattning : Nowadays in the fifth generation (5G) communication systems, millimeter wave (mmWave) has aroused interest to not only industrial use but also network operators due to the massive amount of bandwidth available at mmWave frequencies. Initial access in cellular systems is an essential procedure in which new mobile user equipment (UE) establishes a connection with a base station (BS). LÄS MER

  5. 4. Bounded exhaustive generation of tests in model-based testing

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

    Författare :Nour Alhuda Almajni; [2021]
    Nyckelord :Model-based testing; Modbat; Bounded exhaustive search; Random search.; Modellbaserad testning; Modbat; Begränsad uttömmande sökning; Slumpmässig sökning.;

    Sammanfattning : There are some systems (or parts of systems) that are very critical and need especially good test suites to test them. For these critical systems, exhaustive testing may be a good way to test them. Thus, we have implemented two versions of bounded exhaustive search (BES) algorithms in a model-based testing tool called, Modbat. LÄS MER

  7. 5. Searching and Recommending Texts Related to Climate Change

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Karolin Gjöthlén; [2021]
    Nyckelord :;

    Sammanfattning : This project considers the design of a machine learning system to search efficiently a database of texts related to climate change. The efficient search and navigation of such a database make it easier to find actionable information, detect trends, or derives other useful information. LÄS MER