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A Career Path Framework for Quantity Surveyors in Nigeria Private Practice
Journal of Construction Business and Management, 2018 In a typical organization, career path helps employees to understand what is expected of them based on the positions they occupied. This also allows them to participate in managing their career progress.
Joshua Oluwasuji Dada
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Progress and perspectives of point cloud intelligence
Geo-spatial Information Science, 2023 With the rapid development of reality capture methods, such as laser scanning and oblique photogrammetry, point cloud data have become the third most important data source, after vector maps and imagery.
Bisheng Yang, Nobert Haala, Zhen Dong
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Virtual Site as an aid to first-year learning [PDF]
, 2008 Courses run by the School of the Built Environment have a range of entry requirements that enable diverse students and those with lower academic qualifications to gain entry.
Dickinson, IM +4 more
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FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 In recent years, the improvement of sensors and methodologies for 3D reality-based surveying has exponentially enhanced the possibility of creating digital replicas of the real world.
O. Roman +6 more
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Multi-Color Space Network for Salient Object Detection
Sensors, 2022 The salient object detection (SOD) technology predicts which object will attract the attention of an observer surveying a particular scene. Most state-of-the-art SOD methods are top-down mechanisms that apply fully convolutional networks (FCNs) of ...
Kyungjun Lee, Jechang Jeong
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Benchmark and Survey of Automated Machine Learning Frameworks
Journal of Artificial Intelligence Research, 2021 Machine learning (ML) has become a vital part in many aspects of our daily life. However, building well performing machine learning applications requires highly specialized data scientists and domain experts. Automated machine learning (AutoML) aims to reduce the demand for data scientists by enabling domain experts to build machine learning ...
Marc-André Zöller, Marco F. Huber
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MACHINE LEARNING FOR MOBILE LIDAR DATA CLASSIFICATION OF 3D ROAD ENVIRONMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 3D road mapping is essential for intelligent transportation system in smart cities. Road features can be utilized for road maintenance, autonomous driving vehicles, and providing regulations to drivers.
M. Mohamed, S. Morsy, A. El-Shazly
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BCM463: Site Surveying II / Faculty of Architecture, Planning & Surveying [PDF]
, 2023 The general aim of the course is to provide sufficient knowledge and understanding of basic principles in site surveying pertaining to building construction.
UiTM, Faculty of Architecture, Planning & Surveying
core
Haze visibility enhancement: A Survey and quantitative benchmarking [PDF]
Computer Vision and Image Understanding, 2017 This paper provides a comprehensive survey of methods dealing with visibility enhancement of images taken in hazy or foggy scenes. The survey begins with discussing the optical models of atmospheric scattering media and image formation. This is followed by a survey of existing methods, which are grouped to multiple image methods, polarizing filters ...
Yu Li 0003 +3 more
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Field research of total stations
RUDN Journal of Agronomy and Animal Industries, 2017 This article presents the results of field research of two total stations (the park of geodetic instruments of the experimentally-technological laboratory of remote sensing and land resources monitoring of the Agrarian Technological Institute of the RUDN
I A Kevorkov +4 more
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