|
|
|
|
|
Mohamad Ali Ridho B K A, Chayut Ngamkhanong, Yubin Wu and Sakdirat Kaewunruen
The recycled aggregate is an alternative with great potential to replace the conventional concrete alongside with other benefits such as minimising the usage of natural resources in exploitation to produce new conventional concrete. Eventually, this will...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sumudu S. Karunarathne, Khim Chhantyal, Dag A. Eimer and Lars E. Øi
The physical properties, like density and viscosity, of alkanolamine + H2O (water) + CO2 (carbon dioxide) mixtures receive a significant amount of attention as they are essential in equipment sizing, mathematical modelling and simulations of amine-based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sung-Uk Zhang
Fused filament fabrication (FFF) is commonly employed in multiple domains to realize inexpensive and flexible material extrusion systems with thermoplastic materials. Among the several types of thermoplastic materials, polylactic acid (PLA), an environme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mostafa Aliyari and Yonas Zewdu Ayele
This article aims to assess the effectiveness of state-of-the-art artificial neural network (ANN) models in time series analysis, specifically focusing on their application in prediction tasks of critical infrastructures (CIs). To accomplish this, shallo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergei Strijhak, Daniil Ryazanov, Konstantin Koshelev and Aleksandr Ivanov
In this article the procedure and method for the ice accretion prediction for different airfoils using artificial neural networks (ANNs) are discussed. A dataset for the neural network is based on the numerical experiment results?obtained through iceFoam...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christos Mattas, Lamprini Dimitraki, Pantazis Georgiou and Panagiota Venetsanou
Due to the fact of water resource deterioration from human activities and increased demand over the last few decades, optimization of management practices and policies is required, for which more reliable data are necessary. Cost and time are always of i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladislav Kholkin, Olga Druzhina, Valerii Vatnik, Maksim Kulagin, Timur Karimov and Denis Butusov
For the last two decades, artificial neural networks (ANNs) of the third generation, also known as spiking neural networks (SNN), have remained a subject of interest for researchers. A significant difficulty for the practical application of SNNs is their...
ver más
|
|
|
|
|
|
|
|
|
|
|
Laura Wilmes, Raymond Olympio, Kristin M. de Payrebrune and Markus Schatz
One of the ongoing tasks in space structure testing is the vibration test, in which a given structure is mounted onto a shaker and excited by a certain input load on a given frequency range, in order to reproduce the rigor of launch. These vibration test...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seda Sahin and Ayse Torun
This study was primarily conducted to investigate the potential use of pumpkin seed oil in biodiesel production. Initially, the fatty acid composition of oils extracted from discarded pumpkin seeds was determined. Then, biodiesel produced from discarded ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Anton V. Shafrai, Larisa V. Permyakova, Dmitriy M. Borodulin and Irina Y. Sergeeva
Various methods are used to prevent the deterioration of the biotechnological properties of brewer?s yeast during storage. This paper studied the use of artificial neural networks for the mathematical modeling of correcting the biosynthetic activity of b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ioannis G. Tsoulos and V. N. Stavrou
In the current research, we consider the solution of dispersion relations addressed to solid state physics by using artificial neural networks (ANNs). Most specifically, in a double semiconductor heterostructure, we theoretically investigate the dispersi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Katsuba Yurii, Grigorieva Liudmila
Pág. 283 - 287
The article examines an approach to increasing the safety of a vehicle's design with the help of artificial neural networks (ANNs) integrated in the vehicle's self-diagnostic system. Solving this problem will require the vehicle's self-diagnostic system ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Job Teixeira de Oliveira and Paulo Eduardo Teodoro
Using multispectral sensors attached to unmanned aerial vehicles (UAVs) can assist in the collection of morphological and physiological information from several crops. This approach, also known as high-throughput phenotyping, combined with data processin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angel E. Muñoz-Zavala, Jorge E. Macías-Díaz, Daniel Alba-Cuéllar and José A. Guerrero-Díaz-de-León
This paper reviews the application of artificial neural network (ANN) models to time series prediction tasks. We begin by briefly introducing some basic concepts and terms related to time series analysis, and by outlining some of the most popular ANN arc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bing Long, Kunping Wu, Pengcheng Li and Meng Li
The remaining useful life (RUL) prediction for hydrogen fuel cells is an important part of its prognostics and health management (PHM). Artificial neural networks (ANNs) are proven to be very effective in RUL prediction, as they do not need to understand...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Grazia De Giorgi, Luciano Strafella, Nicola Menga and Antonio Ficarella
An efficient maintenance plan is an important aspect for aeronautical companies to increase flight safety and decrease costs. Modern technologies are widely used in the Engine Health Monitoring (EHM) discipline to develop intelligent tools capable of mon...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rómulo Antão, José Antunes, Alexandre Mota and Rui Escadas Martins
The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs). This work exploits recent trends on ANN literature using a Te...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tekin Evrim Ozmermer
Pág. 44 - 57
If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikolaos Makrakis, Prodromos N. Psarropoulos and Yiannis Tsompanakis
Large-scale lifelines in seismic-prone regions very frequently cross areas that are characterized by active tectonic faulting, as complete avoidance might be techno-economically unfeasible. The resulting Permanent Ground Displacements (PGDs) constitute a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Güler Ferhan Ünal Uyar, Mustafa Terzioglu, Mehmet Kayakus, Burçin Tutcu, Ahmet Çosgun, Güray Tonguç and Rüya Kaplan Yildirim
Methane gas emission into the atmosphere is rising due to the use of fossil-based resources in post-industrial energy use, as well as the increase in food demand and organic wastes that comes with an increasing human population. For this reason, methane ...
ver más
|
|
|
|
|
|