Sökning: "Predictive Estimation"

Visar resultat 1 - 5 av 98 uppsatser innehållade orden Predictive Estimation.

  1. 1. Using artificial intelligence to improvetime estimation for project management

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Marcus Bonnedahl; [2024]
    Nyckelord :time estimation; ai; machine learning; project management;

    Sammanfattning : Time estimation is an important aspect in project management. Failure to make accurateestimates can lead to large consequences. Despite this, humans tend to make fairly inaccurateestimates when tasked to, often underestimating the time something will take substantially. LÄS MER

  3. 2. Real-Time Certified MPC for a Nano Quadcopter

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Arvid Linder; [2024]
    Nyckelord :MPC; Model predictive control; quadcopter; control system;

    Sammanfattning : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. LÄS MER

  4. 3. On Predicting Price Volatility from Limit Order Books

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Reza Dadfar; [2023]
    Nyckelord :General Compound Hawkes Process; Limit Order Book LOB ; High- Frequency Trading; Price Volatility; Markov Chain.;

    Sammanfattning : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. LÄS MER

  5. 4. Implementing SAE Techniques to Predict Global Spectacles Needs

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Yuxue Zhang; [2023]
    Nyckelord :small area estimation; area-level model; empirical best linear unbiased prediction EBLUP ; generalized linear mixed models; Conditional Autoregressive; spatial correlation; spectacle needs; assistive products; auxiliary data; hglm; relative standard error; simulation;

    Sammanfattning : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). LÄS MER

  7. 5. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Kevin Coleman; [2023]
    Nyckelord :Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

    Sammanfattning : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. LÄS MER