Essays about: "Uses of Forest"

Showing result 16 - 20 of 198 essays containing the words Uses of Forest.

1. 16. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle

   University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Author : Yo Fujimoto; [2023]
   Keywords : Artificial neural network; machine learning; random forest; deep learning; electric vehicle; decision tree; k-nearest neighbors; permanent magnet synchronous machine;

   Abstract : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. READ MORE

3. 17. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Gowtham Kumar Sandaka; Praveen Kumar Madhamsetty; [2023]
   Keywords : Traffic accidents; Satellite imagery; Logistic Regression; Random Forest; SVC; VGG19; hybrid model; CNN; self-driving cars; best-performing algorithm; literature review;

   Abstract : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. READ MORE

4. 18. In-Situ Gold Resource Estimation Using Satellite Remote Sensing and Machine Learning in Defunct Tailing Storage Facilities (South Africa)

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Shenelle Agard; [2023]
   Keywords : tailings storage facility; critical raw materials; machine learning; mine valorisation;

   Abstract : The mining industry generates billions of tonnes of waste annually, which is often stored in tailings storage facilities (TSF). This waste is generated from the extraction of ore from surface or underground mines, as well as from metallurgical processing and low-grade stockpiles. READ MORE

5. 19. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Elias Hadad; Angus Wigton; [2023]
   Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

   Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE

6. 20. Emission Trading Systems and Forestry: Understanding the Case of New Zealand and Applications for Sweden through the EU ETS

   University essay from Lunds universitet/Ekonomisk-historiska institutionen

   Author : Anna Lyrvall; [2023]
   Keywords : Emission trading; EU ETS; NZ ETS; forestry; LULUCF; Business and Economics;

   Abstract : Forest carbon sinks are becoming increasingly important as a climate change mitigation tool. To date, New Zealand is the only country that has fully incorporated forestry into its emission trading framework. This study seeks to understand if and how that has impacted forest management practices and carbon sink enhancement. READ MORE