Essays about: "RMSE. ii"
Showing result 1 - 5 of 9 essays containing the words RMSE. ii.
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1. Machine Learning model applied to Reactor Dynamics
University essay from KTH/FysikAbstract : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. READ MORE
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2. Detecting Metro Service Disruptions and Predicting their Spillover Effects throughout the Network using GTFS and Large-Scale Vehicle Location Data
University essay from KTH/TransportplaneringAbstract : One of the top factors that influence commuters’ satisfaction level with public transport is the punctuality of the service. Commuters rely on public transport to get them from their origin to destination on time and any form of delay will incur additional cost to both the commuters as well as the public transport operators. READ MORE
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3. Modelling gross primary production in semi-arid regions: effects on carbon uptake of intensive agriculture in southern Kenya
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Background and aim: Gross primary production (GPP) is the largest global carbon (C) flux and an important component for counteracting anthropogenic CO2 emissions, understanding vegetation dynamics, and sustaining universal human standards. Africa plays a prominent role in the global C cycle, though our understanding of GPP dynamics is largely hampered by a paucity of ground-based observations. READ MORE
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4. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. READ MORE
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5. Time series analysis for spring barley phenology monitoring using Sentinel 2 – A case study of Southern-central Sweden
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Monitoring crop phenology at parcel scale aligns with the concept of precision agriculture (PA) and can provide invaluable information to agronomic management systems. Satellite time series data are commonly deployed for detecting crop growth stages, while the recent advancements in remote sensing (RS) technologies such as the launch of Sentinel 2 (S2) are providing unprecedented opportunities for crop monitoring. READ MORE
