Search for dissertations about: "random forest interpretation"

Showing result 1 - 5 of 7 swedish dissertations containing the words random forest interpretation.

2. 1. 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

4. 2. Classification of Sweden’s forest and alpine vegetation using optical satellite and inventory data

   Author : Heather Reese; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : Creation of accurate vegetation maps from optical satellite data requires use of reference data to aid in interpretation or to verify map results. Reference data may be taken, for example, from field visits, aerial photo-interpretation, or ground-based inventories. READ MORE

5. 3. Modeling rural Vietnamese households' use of cooking fuels

   Author : Niklas Vahlne; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; fuel switching; rural households; developing; cooking; fuel ladder; improved stoves; Vietnam;

   Abstract : AbstractA majority of rural households in the developing world still use solid biomass fuels for cooking, which has severe negative health effects, may be expensive, time consuming, and contributes to global warming. Options for interventions aimed at improving the energy situation for households include the dissemination of improved cook stoves (ICSs), increase of households possibilities to switch to more modern fuels, for example through subsidies for LPG, as well as increase of the rate of electrification. READ MORE

6. 4. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users

   Author : Dong Wang; Mats Tysklind; Johan Trygg; Lili Jiang; Venkat Venkatasubramanian; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wastewater treatment; Process analytics; Big data; Machine learning; Interpretable AI; Power plants; Failure analysis; Data mining; Buildings; Energy consumption; Anomaly detection;

   Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE

7. 5. Estimating source area of pollen and pollen productivity in the cultural landscapes of southern Sweden - developing a palynological tool for quantifying past plant cover

   Author : Anna Broström; Kvartärgeologi; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; aerial photographs; pollen productivity estimates; relevant source area of pollen; southern Sweden; quantitative landscape reconstruction; GIS; pollen dispersal; simulation model; Geology; physical geography; Geologi; fysisk geografi;

   Abstract : Fossil pollen records retrieved from peat and lake sediments have great potential for quantifying past plant cover. This thesis is a contribution to the development of a palynological interpretation tool for reconstructing past cultural landscapes in terms of plant abundance and distribution. READ MORE