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Akademický článek

4SA: OPTIMIZING SPACE FILLING CURVE BASED GRID CELL INDEXING TO SCALABLY MANAGE REMOTELY SENSED IMAGES IN KEY-VALUE DATABASES

Autor: C. N. Lokugam Hewage, A. V. Vo, M. Bertolotto, N.-A. Le-Khac, D. Laefer

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W3-2022, Pp 143-150 (2022)

State-of-the-art remote sensing image management systems adopt scalable databases and employ sophisticated indexing techniques to perform window and containment queries. Many rely on space-filling curve (SFC) based index techniques designed for key-v

Externí odkaz: https://doaj.org/article/6aa0263f1c004b3fbad95bc83e865a1b

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Akademický článek

Preface: 3D GeoInfo 2021

Autor: L. Truong-Hong, F. Jia, E. Che, S. Emamgholian, D. Laefer, A. V. Vo

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VIII-4-W2-2021, Pp 1-4 (2021)

3D GeoInfo 2021, the 16th GeoInfo conference, is an annual ISPRS workshop offering a forum for leading international decision makers and prominent voices in the field of 3D Geoinformation across the academic, commercial, and public sectors. The 2021

Externí odkaz: https://doaj.org/article/f6dc83ae416247a48a7b44e2bca98b85

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Akademický článek

A PARALLEL ALGORITHM FOR LOCAL POINT DENSITY INDEX COMPUTATION OF LARGE POINT CLOUDS

Autor: A. V. Vo, C. N. Lokugam Hewage, N. A. Le Khac, M. Bertolotto, D. Laefer

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VIII-4-W2-2021, Pp 75-82 (2021)

Point density is an important property that dictates the usability of a point cloud data set. This paper introduces an efficient, scalable, parallel algorithm for computing the local point density index, a sophisticated point cloud density metric. Co

Externí odkaz: https://doaj.org/article/36f66eed76fd4faf91f36e3d19f5d8a1

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Akademický článek

A HIGHLY SCALABLE DATA MANAGEMENT SYSTEM FOR POINT CLOUD AND FULL WAVEFORM LIDAR DATA

Autor: A. V. Vo, D. F. Laefer, M. Trifkovic, C. N. L. Hewage, M. Bertolotto, N. A. Le-Khac, U. Ofterdinger

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 507-512 (2020)

The massive amounts of spatio-temporal information often present in LiDAR data sets make their storage, processing, and visualisation computationally demanding. There is an increasing need for systems and tools that support all the spatial and tempor

Externí odkaz: https://doaj.org/article/f3206ab26b374db8b6b22dff02877dd4

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Akademický článek

A BIG DATA APPROACH FOR COMPREHENSIVE URBAN SHADOW ANALYSIS FROM AIRBORNE LASER SCANNING POINT CLOUDS

Autor: A. V. Vo, D. F. Laefer

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-4-W8, Pp 131-137 (2019)

Because of the importance of access to sunlight, shadow analysis is a common consideration in urban design, especially for dense urban developments. As shadow computation is computationally expensive, most urban shadow analysis tools have to date cir

Externí odkaz: https://doaj.org/article/3508579ce8904f179034231cfa6e8a11

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Akademický článek

A 6-DIMENSIONAL HILBERT APPROACH TO INDEX FULL WAVEFORM LiDAR DATA IN A DISTRIBUTED COMPUTING ENVIRONMENT

Autor: A. V. Vo, N. Chauhan, D. F. Laefer, M. Bertolotto

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4, Pp 671-678 (2018)

Laser scanning data are increasingly available across the globe. To maximize the data's usability requires proper storage and indexing. While significant research has been invested in developing storage and indexing solutions for laser scanning point

Externí odkaz: https://doaj.org/article/fafe4d64fda74f428d6b82d5bbc33945

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Akademický článek

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Designing Potential Inhibitors of SARS-CoV-2 Mpro Using Deep Learning and Steered Molecular Dynamic Simulations

Autor: Nguyen Minh Tam, Linh Hoang Tran, Quan V. Vo, Minh Quan Pham, Huong Thi Thu Phung

Publikováno v: Journal of Computational Biophysics and Chemistry. :1-16

The COVID-19 pandemic raised an unprecedented race in biotechnology in search for effective therapies and a preventive vaccine. Scientists worldwide have been attempting to stop the viral infection by interfering with the biological function of the S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb6f681e1572b9f16cc2043e3db3cdc5
https://doi.org/10.1142/s2737416523500242

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