Essays about: "event based data analysis"

Showing result 1 - 5 of 181 essays containing the words event based data analysis.

  1. 1. Estimating historic ranges of extinct scavenging birds from North America during the late Pleistocene using co-occurrence data from the fossil record

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Melissa Miranda; [2023-06-30]
    Keywords : Scavenging birds; Vultures; Co-occurrence Data; Range Estimates; Spatial Autoregressive Models; Co-extinction;

    Abstract : The aim of my study was to estimate and compare the historic range of nine scavenging birds from North America that went jointly extinct with their mammalian megafaunal prey in the Late Pleistocene. Although the severity and timing of their co-extinction are strongly correlated, there has been little analytical support in providing estimates for the possible geographic distribution of scavenging birds prior to the extinction event. READ MORE

  2. 2. Hydraulic Modelling of Eurasian Beaver Structural Modifications: Implications for Evaluating their Contributions to Natural Flood Management in Scotland

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Maja Christina Pitcairn; [2023]
    Keywords : Beaver reintroduction; Scotland; Flood risk; Natural flood management; Hydraulic modelling.; Technology and Engineering;

    Abstract : The concurrent climate and biodiversity crises in Scotland necessitate the exploration of ecosystem-based adaptation to simultaneously address increased flood risk and the loss of native species. This research investigated the contributions of Eurasian beaver reintroductions to natural flood management in Scotland. READ MORE

  3. 3. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  4. 4. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

    University essay from KTH/Matematik (Avd.)

    Author : Nazar Maksymchuk Netterström; [2023]
    Keywords : Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

    Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE

  5. 5. Probing Charm Production with Three-Particle Correlations in pp Collisions

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysik

    Author : Kim Haupt; [2023]
    Keywords : pp collisions; charm production; three-particle correlation; Pythia; Physics and Astronomy;

    Abstract : This thesis aims to investigate possible correlations between charm production and baryon production in proton-proton collisions through three-particle correlations. The question attempted to be answered is where, for a given charmed baryon, the balancing anti-charm particle and balancing anti-baryon are located. READ MORE