Big Data processing Methods for Environmental Management – George Amoako Danquah
George Amoako Danquah
Diplomová práce
Big Data processing Methods for Environmental Management
Big Data Processing Methods for Environmental Management
Abstract:
The aim of this study was to use Artificial Neural Networks, a machine learning algorithm which is a Big Data processing method to create a waste generation forecasting model on Solid waste in Ghana based on data from socio-economic and demographic factors. The processing and integration of data was developed in MATLAB software. Performance assessment indicators such as Regression (R) and Mean Square …víceAbstract:
The aim of this study was to use Artificial Neural Networks, a machine learning algorithm which is a Big Data processing method to create a waste generation forecasting model on Solid waste in Ghana based on data from socio-economic and demographic factors. The processing and integration of data was developed in MATLAB software. Performance assessment indicators such as Regression (R) and Mean Square …více
Jazyk práce: angličtina
Datum vytvoření / odevzdání či podání práce: 25. 5. 2023
Obhajoba závěrečné práce
Citační záznam
Jak správně citovat práci
Danquah, George Amoako. Big Data processing Methods for Environmental Management. Zlín, 2023. diplomová práce (Ing.). Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky
Plný text práce
Obsah online archivu závěrečné práce
Zveřejněno v Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Jak jinak získat přístup k textu
Instituce archivující a zpřístupňující práci: Univerzita Tomáše Bati ve Zlíně, Fakulta aplikované informatikyPlny text prace je k dispozici v elektronicke podobe
Univerzita Tomáše Bati ve Zlíně
Fakulta aplikované informatikyMagisterský studijní program / obor:
Engineering Informatics / Information Technologies
Práce na příbuzné téma
-
Text classification with artificial neural networks
Anouk Wilstra -
Interpretation of artificial neural networks for image recognition
Alexey Ulyanin -
Artificial Neural Networks in Space of Stock Returns: Volatility Prediction
Šimon Škorňa -
Gradient Boosting Machine and Artificial Neural Networks in R and H2O
Juraj Sabo -
Behavioral Economics and Environmental Sustainability: the Case of the Waste Management System
Andrea Gallareto -
Sustainable practices in plastic waste management – case study of Acqua San Benedetto SpA
Rebecca Mango -
Solid waste management in China: The case of Zhejiang province
Terézia Hegerová -
Waste management integrated into EFL lessons as a part of intersubject relations
Veronika Kroupová