Essays about: "Decision model"

Showing result 6 - 10 of 1918 essays containing the words Decision model.

1. 6. Integrating Local Knowledge into the Spatial Analysis of Wind Power: The case study of Northern Tzoumerka, Greece

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Athanasios Senteles; [2024]
   Keywords : Geography; Geographical Information Systems; MCDA; wind energy; local knowledge; Greece; Earth and Environmental Sciences;

   Abstract : Increasing demand for incorporating renewable energy projects into the national energy mix, is associated with international and European efforts to tackle the negative effects of climate change and strengthen energy resilience. Greece, as a member country of the European Union, has acknowledged that necessity, by implementing a national program aiming to significantly reduce Green House Gas Emissions and upscale Renewable Energy Sources (RES) project development in upcoming years. READ MORE

3. 7. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Max Fredriksson; Elise Ramsay Veljanovska; [2024]
   Keywords : ASR; Automatic Speech Recognition; Swedish Speech Recognition; Speech Recognition Models; Speech-to-Text; Whisper; VoxRex; Wav2Vec; Model Comparison; Transformer Models; Neural Networks; Machine Learning; WER; Word Error Rate; Transcription;

   Abstract : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. READ MORE

4. 8. Näringsförluster från sju jordbruksområden nära Mälaren

   University essay from SLU/Dept. of Soil and Environment

   Author : Sally Karlsson Bondesson; [2024]
   Keywords : avrinningsområde; belastning; fosfor; kväve; S-HYPE; retention; typområden på jordbruksmark; vattenflöde; VISS; våtmark;

   Abstract : Ett av Sveriges miljömål är ”ingen övergödning” vilket innebär att gödande ämnen inte ska ha negativ inverkan på människor, biologisk mångfald eller mark-och vattenanvändning (Naturvårds-verket 2023). Näringsämnena fosfor och kväve och förlusten av dessa från framför allt jordbruksmark är en av orsakerna till övergödning i sjöar, hav och vattendrag. READ MORE

5. 9. Decision Trees for Classification of Repeated Measurements

   University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Author : Julianna Holmberg; [2024]
   Keywords : Repeated Measurement Data; Growth Curve Model; Linear Discriminant Analysis; Decision Tree; Bootstrap Aggregating; CART; CART-LC;

   Abstract : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. READ MORE

6. 10. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Alexander Florean; [2024]
   Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE