Deep learning is increasingly popular in remote sensing communities and already successful land cover classification semantic segmentation. However, most studies are limited to the utilization of optical datasets. Despite few attempts applied synthetic aperture radar (SAR) using deep learning, huge potential, especially for very high resolution (VHR) SAR, still underexploited. Taking building s...

the decisions made in the planning phase of a building project greatly affect its future operation and maintenance (o&m;) cost. recognizing the o&m; cost of condominiums’ common facilities as a critical issue for home owners, this research aims to develop an artificial neural network (ann) o&m; cost prediction model to assist developers and architects in effectively assessing the impacts of the...

Inability to identify weaknesses or to quantify advancements in software system robustness frequently hinders the development of robust software systems. Efforts have been made to develop benchmarks of software robustness to address this problem, but they all suffer from significant shortcomings. This paper presents the various features that are desirable in a benchmark of system robustness, an...

Lung cancer is one of the deadliest form in Europe, characterized by a lack obvious symptoms until terminal stages illness. Electronic noses are rising screening technology to detect early-stage lung directly homes people at risk. need be tested using samples from patients. However, obtaining numerous patient turns out difficult task practice. Therefore, development sensor benchmark able evalua...

This paper presents the problem of overlapping decentralized control design for a 20-story building benchmark which was proposed by the ASCE to the structural control community to compare different control design methods. The control design problem is focused on an in-plane (2-D) analysis and synthesis of one-half of the building structure. This naturally suggests the overlapping decomposition ...