Learning models for seismic-induced vibrations optimal control in structures via random forests

F Smarra, GDD Girolamo, V Gattulli, F Graziosi… - Journal of Optimization …, 2020 - Springer
Data-driven modeling of dynamical systems gathers attention in several applications; in
conjunction with model predictive control, novel different identification techniques that merge …

Damage level prediction of reinforced concrete building based on earthquake time history using artificial neural network

R Suryanita, H Maizir, E Yuniarto… - MATEC Web of …, 2017 - matec-conferences.org
The strong motion earthquake could cause the building damage in case of the building not
considered in the earthquake design of the building. The study aims to predict the damage …

Estimating peak floor acceleration using artificial neural networks

W Aloqaily, M Head, N Attoh-Okine - Lifelines 2022, 2022 - ascelibrary.org
Peak floor acceleration (PFA) can be useful immediately after an earthquake to potentially
optimize recovery resources, especially in cases of invisible damage that can be detrimental …

[PDF][PDF] The bus arrival time prediction using LSTM neural network and location analysis

Y Seitbekova, B Assilbekov… - Journal of Advances …, 2020 - tafpublications.com
In contemporary life with high technologies, analyzing and extending data of human mobility
have become signi􀅭 icant topic of research. Generating human mobility patterns helps for …

[PDF][PDF] Neural networks application for water distribution demand-driven decision support system

CNM Locsin, RJ Ferolin - Journal of Advances in Technology …, 2018 - tafpublications.com
In Metro Cebu, only 43% of the total water demand is currently covered by the Metropolitan
Cebu Water District (MCWD). Metro Cebu covers a total of 1,062.88 km442 of land from …

[PDF][PDF] Video forgery detection based-on passive (blind) approach

NH Ali, F Harun - Journal of Advances in Technology and …, 2019 - academia.edu
With the speedy development of multimedia and communication technology, it can facilitate
content sharing such as text, pictures, and videos online or of􀅭 line without unlimited access …

[PDF][PDF] Website evaluation using cluster structures

K Nagata - Journal of Advances in Technology and Engineering …, 2019 - tafpublications.com
Since commercial use of the internet began early in 1990s, information dissemination
centering on websites has been done in many􀅫 ields. In about 30 years, various techniques …

[图书][B] Simplified Feed Forward Neural Network Approach for Seismic Performance Prediction

W Aloqaily - 2023 - search.proquest.com
A framework is proposed as a tool to support resilience-based seismic design by providing
an approach for quick, post-earthquake response prediction using neural networks, thereby …

[PDF][PDF] Transfer of the data preprocessing parameters and fore-casting models

A Stepchenko, J Chizhov… - Journal of Advances in …, 2018 - tafpublications.com
Human activities affect ecosystems, including the natural vegetation cover. Vegetation cover
change is important factors that affect ecosystem condition and function. A change of …

Artificial Neural Networks and Wireless Network Technology: A Review of Literature

A Basit, N un Nisa - Journal of ICT, Design, Engineering and …, 2020 - jitdets.com
The research paper is an introduction to the artificial neural networks and wireless network
by using sensor technology. There are myriads types of neural networks which are used in …