Essays about: "Boosting"

Showing result 21 - 25 of 267 essays containing the word Boosting.

1. 21. Does the Use of VR Improve Individuals’ Performance in Sports? : A Scoping Review

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : William Rolf; Carl Holmqvist; [2023]
   Keywords : virtual reality; VR; sports; performance; empirical evidence; virtual reality; VR; sport; prestanda; empiriskt bevis;

   Abstract : The purpose of this study is to explore if the use of virtual reality (VR) improves performance in sports and examine whether there is empirical evidence supporting this. There is a lack of a common denominator that can be used as a direct comparison between various studies. READ MORE

3. 22. Machine Learning of Laser Ultrasonic Data to Predict Material Properties

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Filip Tuvenvall; [2023]
   Keywords : Machine Learning; Laser Ultrasonics; Material Properties; Steel; Hardness of Steel;

   Abstract : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. READ MORE

4. 23. Privatization of Public Space: Tracing Spatial Epistemologies of Publicness in Sweden : Planning for all in a neoliberal economy

   University essay from Uppsala universitet/Kulturgeografiska institutionen

   Author : Emma Carlén; [2023]
   Keywords : Privatization; publicness; commodification; public space; accessibility;

   Abstract : Public spaces play an important role in urban planning for the creation of a vibrant and attractive city. When reaching for the aims of becoming a vibrant city with attractive urban realms, while boosting profit making under a proliferation of neoliberal capitalism, the question of publicness has arguably fallen behind. READ MORE

5. 24. Machine Learning based Predictive Data Analytics for Embedded Test Systems

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Fayad Al Hanash; [2023]
   Keywords : Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

   Abstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE

6. 25. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Levi Jan Zuiverloon; [2023]
   Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

   Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE