Sökning: "support vector machine"

Visar resultat 16 - 20 av 70 avhandlingar innehållade orden support vector machine.

1. 16. Remote Sensing of Urbanization and Environmental Impacts

   Författare :Jan Haas; Yifang Ban; Lars Eklund; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Remote Sensing; Classification; Land Use Land Cover; Support Vector Machine; Random Forest; Urbaniztion; Environmental Impact; Landscape Metrics; Ecosystem Services; Geomatik; Geomatics;

   Sammanfattning : The unprecedented growth of urban areas all over the globe is nowadays maybe most apparent in China having undergone rapid urbanization since the late 1970s. The need for new residential, commercial and industrial areas leads to new urban regions challenging sustainable development and the maintenance and creation of a high living standard as well as the preservation of ecological functionality. LÄS MER

3. 17. Characterisation of Nonlinear Structural Dynamic Systems in Conceptual Design

   Författare :Niclas S Andersson; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Structural dynamics; Model order reduction; Nonlinear characterisation; Multi-body dynamics; Frequency response functions; Multisines; Response classification; Driveline systems; Concept design analysis; Stepped-sine; Support vector machine;

   Sammanfattning : The engine and driveline systems of passenger cars generates and distributes the necessary driving power and are major contributors to vehicle emissions, noise and vibrations, etc. More environmental friendly technologies under development are expected to intensify and add new comfort related problems, since most of them affect vibration sources or system damping. LÄS MER

4. 18. Privacy-awareness in the era of Big Data and machine learning

   Författare :Xuan-Son Vu; Lili Jiang; Erik Elmroth; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Differential Privacy; Machine Learning; Deep Learning; Big Data; datalogi; Computer Science;

   Sammanfattning : Social Network Sites (SNS) such as Facebook and Twitter, have been playing a great role in our lives. On the one hand, they help connect people who would not otherwise be connected before. LÄS MER

5. 19. Towards Smart Maintenance : Machine-Learning Based Prediction of Retroreflectivity and Color of Road Traffic Signs

   Författare :Roxan Saleh; Hasan Fleyeh; Moudud Alam; Arend Hintze; Darko Babic; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Road traffic signs; Retroreflectivity; Chromaticity; Maintenance; Predictive models; classification; Survival analysis; Kaplan Estimator; Machine Learning;

   Sammanfattning : Proper maintenance of road traffic signs is vital for safety, as their low visibility can cause accidents and fatalities. Many countries, including Sweden, lack a systematic approach for replacing signs due to the risky, costly, and complex methods needed to measure their color and retroreflectivity. LÄS MER

7. 20. Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures

   Författare :Ann-Britt Ryberg; Larsgunnar Nilsson; Anirban Basudhar; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; multidisciplinary design optimization MDO ; metamodel; artificial neural network ANN ; support vector machine SVM ; sequential sampling; crashworthiness; automotive structure; spot weld optimization;

   Sammanfattning : Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. LÄS MER