Semantic Scholar Open Access 2023 26 sitasi

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems

Z. Babović B. Bajat Vladan Đokić F. Đorđević D. Drašković +27 lainnya

Lihat Sumber DOI

Abstrak

This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasibility studies on nature-oriented engineering in general and civil engineering in particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based construction, earthquake engineering, and other types of geophysical disaster prevention activities, as well as the studies of processes and materials of interest for the above. In all these fields, problems are discussed that generate huge amounts of Big Data and are characterized with mathematically highly complex Iterative Algorithms. In the domain of applications, it has been stressed that problems could be made less computationally demanding if the number of computing iterations is made smaller (with the help of Artificial Intelligence or Conditional Algorithms), or if each computing iteration is made shorter in time (with the help of Data Filtration and Data Quantization). In the domain of computing, it has been stressed that computing could be made more powerful if the implementation technology is changed (Si, GaAs, etc.…), or if the computing paradigm is changed (Control Flow, Data Flow, etc.…).

Topik & Kata Kunci

Computer Science

Penulis (32)

Z. Babović

B. Bajat

Vladan Đokić

F. Đorđević

D. Drašković

Nenad Filipović

B. Furht

Nikola Gačić

Igor Ikodinović

Marija Ilić

A. Irfanoglu

B. Jelenković

Aleksandar Kartelj

Gerhard Klimeck

Nenad Korolija

Miloš Kotlar

M. Kovačević

V. Kuzmanović

M. Marinković

S. Marković

A. Mendelson

V. Milutinovic

A. Nešković

N. Neskovic

Nenad Mitić

B. Nikolić

K. Novoselov

A. Prakash

Ivan Ratković

Z. Stojadinović

Andrey Ustyuzhanin

S. Żak

Format Sitasi

APA MLA BibTeX

Babović, Z., Bajat, B., Đokić, V., Đorđević, F., Drašković, D., Filipović, N. et al. (2023). Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems. https://doi.org/10.1186/s40537-023-00731-6

Akses Cepat

Lihat di Sumber doi.org/10.1186/s40537-023-00731-6

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Total Sitasi: 26×
Sumber Database: Semantic Scholar
DOI: 10.1186/s40537-023-00731-6
Akses: Open Access ✓