Search for dissertations about: "forest machine"

Showing result 1 - 5 of 61 swedish dissertations containing the words forest machine.

2. 1. Terrain machine learning

   Author : Viktor Wiberg; Martin Servin; Tomas Nordfjell; Eddie Wadbro; Todor Stoyanov; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; multibody dynamics simulation; rough terrain vehicle; autonomous vehicles; robotics control; discrete element method; sim-to-real; reinforcement learning; fysik; Physics;

   Abstract : The use of heavy vehicles in rough terrain is vital in the industry but has negative implications for the climate and ecosystem. In addition, the demand for improved efficiency underscores the need to enhance these vehicles' navigation capabilities. READ MORE

4. 2. Order in the random forest

   Author : Isak Karlsson; Henrik Boström; Lars Asker; Pierre Geurts; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine learning; random forest; ensemble; time series; data series; sequential data; sparse data; high-dimensional data; Computer and Systems Sciences; data- och systemvetenskap;

   Abstract : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. READ MORE

5. 3. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

   Author : Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

   Abstract : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. READ MORE

6. 4. Human factors in mechanized cut-to-length forest operations

   Author : Carola Häggström; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES;

   Abstract : Although forest operations research has a more than 50-year-long tradition in the field of human factors, there is a current decline in resources put on continuous and systematic human factors research. Therefore, the overall aim of this thesis was to contribute new knowledge on working conditions in mechanized cut-to-length logging operations and their relationship to system performance. READ MORE

7. 5. Automation in forestry : development of unmanned forwarders

   Author : Ola Ringdahl; Thomas Hellström; Tomas Nordfjell; Arto Visala; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Computer science; Datavetenskap; Forest engineering; Skogsteknik; computer and systems sciences; data- och systemvetenskap;

   Abstract : For the last 50 year, forestry operations have become more and more mechanized. In modern forestry in Europe two machines are typically used; a harvester that fells, debranches and cross-cuts the trees into logs and a forwarder that transports them to the nearest road. READ MORE