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Algorithms, Volume 13, Issue 2

February 2020 - 20 articles

Cover Story: Transfer learning is a modern concept that focuses on the application of ideas, models, and algorithms developed in one applied area for solving a similar problem in another area. In this paper, we identify links between methodologies in video prediction and spatiotemporal urban traffic forecasting domains. The similarities of the video stream and citywide traffic data structures are discovered, and analogues between historical development and the current states of the methodologies are presented. The idea of transferring video prediction models (spatial filtering techniques and spectral graph convolutional artificial neural networks) to the urban traffic forecasting domain is validated using a large real-world data set. View this paper.
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Articles (20)

  • Article
  • Open Access
11 Citations
6,474 Views
26 Pages

Multi-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluations

  • Baris Baykant Alagoz,
  • Aleksei Tepljakov,
  • Eduard Petlenkov and
  • Celaleddin Yeroglu

13 February 2020

Due to unpredictable and fluctuating conditions in real-world control system applications, disturbance rejection is a substantial factor in robust control performance. The inherent disturbance rejection capacity of classical closed loop control syste...

  • Article
  • Open Access
4 Citations
5,112 Views
18 Pages

13 February 2020

Transfer learning is a modern concept that focuses on the application of ideas, models, and algorithms, developed in one applied area, for solving a similar problem in another area. In this paper, we identify links between methodologies in two fields...

  • Article
  • Open Access
6 Citations
4,120 Views
18 Pages

9 February 2020

In this paper, we present a robust algorithm to solve numerically a family of two-dimensional fractional integro differential equations. The Haar wavelet method is upgraded to include in its construction the Laplace transform step. This modification...

  • Article
  • Open Access
10 Citations
6,202 Views
12 Pages

Approximation Algorithm for Shortest Path in Large Social Networks

  • Dennis Nii Ayeh Mensah,
  • Hui Gao and
  • Liang Wei Yang

6 February 2020

Proposed algorithms for calculating the shortest paths such as Dijikstra and Flowd-Warshall’s algorithms are limited to small networks due to computational complexity and cost. We propose an efficient and a more accurate approximation algorithm...

  • Article
  • Open Access
6 Citations
4,525 Views
15 Pages

4 February 2020

An efficient routing using a virtual backbone (VB) network is one of the most significant improvements in the wireless sensor network (WSN). One promising method for selecting this subset of network nodes is by finding the minimum connected dominatin...

  • Article
  • Open Access
3 Citations
5,140 Views
22 Pages

Using Biased-Randomized Algorithms for the Multi-Period Product Display Problem with Dynamic Attractiveness

  • Mage Marmol,
  • Leandro do C. Martins,
  • Sara Hatami,
  • Angel A. Juan and
  • Vicenc Fernandez

1 February 2020

From brick-and-mortar stores to omnichannel retail, the efficient selection of products to be displayed on store tables, advertising brochures, or online front pages has become a critical issue. One possible goal is to maximize the overall ‘att...

  • Article
  • Open Access
6 Citations
4,135 Views
17 Pages

Latency-Bounded Target Set Selection in Signed Networks

  • Miriam Di Ianni and
  • Giovanna Varricchio

29 January 2020

It is well-documented that social networks play a considerable role in information spreading. The dynamic processes governing the diffusion of information have been studied in many fields, including epidemiology, sociology, economics, and computer sc...

  • Article
  • Open Access
19 Citations
4,998 Views
23 Pages

29 January 2020

The estimation of the Instantaneous Angular Speed (IAS) has in recent years attracted a growing interest in the diagnostics of rotating machines. Measurement of the IAS can be used as a source of information of the machine condition per se, or for pe...

  • Feature Paper
  • Article
  • Open Access
15 Citations
4,191 Views
14 Pages

26 January 2020

As technology advances and the spreading of wireless devices grows, the establishment of interconnection networks is becoming crucial. Main activities that involve most of the people concern retrieving and sharing information from everywhere. In hete...

  • Article
  • Open Access
3 Citations
4,554 Views
16 Pages

Learning Manifolds from Dynamic Process Data

  • Frank Schoeneman,
  • Varun Chandola,
  • Nils Napp,
  • Olga Wodo and
  • Jaroslaw Zola

21 January 2020

Scientific data, generated by computational models or from experiments, are typically results of nonlinear interactions among several latent processes. Such datasets are typically high-dimensional and exhibit strong temporal correlations. Better unde...

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Algorithms - ISSN 1999-4893