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Full-Text Articles in Architecture
Underground Construction And Space Utilization: A Bibliometric Analysis, Mugdha Praveen Kshirsagar Mrs, Sanjay Kantrao Kulkarni Dr, Nilesh Vedprakash Arora Mr, Devesh Dinesh Maheshwari Mr, Ankush Kumar Meena Mr
Underground Construction And Space Utilization: A Bibliometric Analysis, Mugdha Praveen Kshirsagar Mrs, Sanjay Kantrao Kulkarni Dr, Nilesh Vedprakash Arora Mr, Devesh Dinesh Maheshwari Mr, Ankush Kumar Meena Mr
Library Philosophy and Practice (e-journal)
Land use optimization is a major concern as the world's population grows at an exponential rate. Surface land is already being depleted at an alarming pace. As a result, buildings can be constructed safely underground, allowing for more productive land use. The primary goal of this paper is to perform a bibliometric review of the literature related to Underground Construction in order to determine the growth of Underground Construction as a method of energy or land optimization in recent years. Between 1975 and 2020 is the time span considered for this survey. The results of the Scopus database are the …
A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali
A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali
Department of Anthropology: Faculty Publications
Airborne light detection and ranging (LIDAR) systems allow archaeologists to capture 3D data of anthropogenic landscapes with a level of precision that permits the identification of archaeological sites in difficult to reach and inaccessible regions. These benefits have come with a deluge of LIDAR data that requires significant and costly manual labor to interpret and analyze. In order to address this challenge, researchers have explored the use of state-of-the-art automated object recognition algorithms from the field of deep learning with success. This previous research, however, has been limited to the exploration of deep learning processes that work with only 2D …