Sökning: "ensembleinlärning"

Hittade 5 uppsatser innehållade ordet ensembleinlärning.

1. 1. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

   Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

   Författare :Punnawat Siripatthiti; [2023]
   Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

   Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

3. 2. Assessment of building renovations using Ensemble Learning

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

   Författare :Paul Lieutier; [2023]
   Nyckelord :Energy consumption; time series; ensemble learning; renovation works; Energiförbrukning; tidsserier; ensembleinlärning; renoveringsarbeten;

   Sammanfattning : In the context of global warming, to reduce energy consumption, an unavoidable policy is to renovate badly-isolated buildings. However, most studies concerning efficiency of renovation work do not rely on energy data from smart meters but rather on estimates. LÄS MER

4. 3. Improving Aircraft Fuel Consumption Prediction through Ensemble Learning

   Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

   Författare :Hanlin Gongzhang; [2022]
   Nyckelord :Aeronautics; Commercial Aircraft; Aircraft fuel consumption; Flight data; Aircraft performance model; Aircraft fuel consumption modelling; Weighted average ensemble; Machine learning; Flygteknik; Kommersiellt flyg; Flygplanens bränsleförbrukning; Flygdata; Flygplanens prestandamodell; Flygplans förbrukningsmodellering; Viktad medelvärdesensemble; Maskininlärning;

   Sammanfattning : Performance models provided by aircraft manufacturers are used by aircraft operators to perform flight path simulations aiming to reduce aircraft fuel consumption. However, performance models are generic and does not account for the performance deviations of each aircraft individual. LÄS MER

5. 4. AUTOMATED OPTIMAL FORECASTING OF UNIVARIATE MONITORING PROCESSES : Employing a novel optimal forecast methodology to define four classes of forecast approaches and testing them on real-life monitoring processes

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Stanislav Razroev; [2019]
   Nyckelord :predictions; forecasting; optimal forecasting; forecast classes; optimality rules; ensemble forecasting; state switching; combinational forecasting; optimality framework; exponential smoothing; ARIMA; ARMA; SARIMA; Double-Seasonal Holt-Winters; time series; Wikipedia; Wikimedia; Wikipedia data; Twitter; Twitter data; electricity data; monitoring processes; monitoring process; monitoring; error metrics; outliers; missing values;

   Sammanfattning : This work aims to explore practical one-step-ahead forecasting of structurally changing data, an unstable behaviour, that real-life data connected to human activity often exhibit. This setting can be characterized as monitoring process. LÄS MER

7. 5. Multi-view versus single-view machine learning for disease diagnosis in primary healthcare

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

   Författare :Aleksandar Labroski; [2018]
   Nyckelord :;

   Sammanfattning : The work presented in this report considers and compares two different approaches of machine learning towards solving the problem of disease diagnosis prediction in primary healthcare: single-view and multi-view machine learning. In particular, the problem of disease diagnosis prediction refers to the issue of predicting a (possible) diagnosis for a given patient based on her past medical history. LÄS MER