Sökning: "ensemble methods"
Visar resultat 21 - 25 av 121 avhandlingar innehållade orden ensemble methods.
21. Clothing Evaporative Resistance: Its Measurements and Application in Prediction of Heat Strain
Sammanfattning : Clothing evaporative resistance is one of the most important inputs for both the modelling and for standards dealing with thermal comfort and heat stress. It might be determined on guarded hotplates, on sweating manikins or even on human subjects. LÄS MER
22. Application and Development of Computational Methods for Structure-based Drug Discovery
Sammanfattning : Researchers involved in drug discovery need tools to support their decisions regarding which of many available chemical entities could be developed into potent drug candidates. The qualitative and quantitative results from computational docking methods constitute the basis for structure-based rational design of inhibitors in the early stages of drug discovery. LÄS MER
23. Towards conformal methods for large-scale monitoring of district heating substations
Sammanfattning : Increasing technical complexity, design variations, and customization options of IoT units create difficulties for the construction of monitoring infrastructure. These units can be associated with different domains, such as a fleet of vehicles in the mobility domain and a fleet of heat-pumps in the heating domain. LÄS MER
24. Ensemble and Individual III-V Semiconductor Nanopillars: Optical Properties and Applications
Sammanfattning : Optical properties of semiconductor nanowires (NWs)/nanopillars (NPs), as individual or ensemble, have attracted significant research interest in recent years. Their potential applications range from solid-state lighting, photovoltaics, lasing and nonlinear optics to sensing and life sciences. LÄS MER
25. Shape-based Representations and Boosting for Visual Object Class Detection : Models and methods for representaion and detection in single and multiple views
Sammanfattning : Detection of generic visual object classes (i.e. cars, dogs, mugs or people) in images is a task that humans are able to solve with remarkable ease. Unfortunately this has proven a very challenging task for computer vision. LÄS MER