Buildings are an important part of the urban scene.In this paper, a novel instance segmentation framework for 3D mesh models in urban scenes is proposed.Unlike existing works focusing on semantic segmentation of urban scenes, this work focuses on detecting and segmenting 3D building instances even if they are attached and occluded in a large and im
The semantic segmentation of high-resolution remote sensing images is widely used in various precision agriculture, urban planning, and environmental detection are some examples of these industries.Convolutional neural networks (CNNs) are excellent in the semantic segmentation of remote sensing images.CNN excels in extracting local feature details
Drawing on a strongly grassroots and expertise-supported development Lunge Line in the field of adult basic education in Austria, this paper traces the current shift to politically motivated interventions.The article is based on a methodologically triangulated case study based on interviews (part 1), review of theory (part 2), and document analysis
This paper examines the effect of gainsharing provisions on the selection of a discount rate for a defined benefit pension plan.The paper uses a traditional actuarial approach of discounting liabilities using the expected return of the associated pension fund.A stochastic Excel model was developed to simulate the effect of varying investment return