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Algorithms, Volume 13, Issue 3

March 2020 - 25 articles

Cover Story: Dynamic Bayesian networks capture time-based causal relationships within their model nodes. When representing complex engineering systems, which are comprised of tightly integrated hardware, software, and human components, these connections support inferences about system-level diagnostics and prognostics that would otherwise be difficult to identify. New information received from sensors and other monitoring tools is used as evidence to update previous system health assessments. These models can be used to prepare system operators for rare-event accident scenarios, where an up-to-date understanding of a system’s health is critical for maintaining its current and future functionality. View this paper
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Articles (25)

  • Review
  • Open Access
158 Citations
20,639 Views
65 Pages

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

  • Christos Nakas,
  • Dionisis Kandris and
  • Georgios Visvardis

24 March 2020

Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of t...

  • Article
  • Open Access
18 Citations
5,656 Views
24 Pages

Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark

  • Athanasios Alexopoulos,
  • Georgios Drakopoulos,
  • Andreas Kanavos,
  • Phivos Mylonas and
  • Gerasimos Vonitsanos

24 March 2020

At the dawn of the 10V or big data data era, there are a considerable number of sources such as smart phones, IoT devices, social media, smart city sensors, as well as the health care system, all of which constitute but a small portion of the data la...

  • Article
  • Open Access
10 Citations
4,428 Views
16 Pages

24 March 2020

An important element in the integration of the fourth industrial revolution is the development of efficient algorithms to deal with dynamic scheduling problems. In dynamic scheduling, jobs can be admitted during the execution of a given schedule, whi...

  • Article
  • Open Access
15 Citations
4,822 Views
20 Pages

24 March 2020

Hepatitis C virus (HCV) is one of the most dangerous viruses worldwide. It is the foremost cause of the hepatic cirrhosis, and hepatocellular carcinoma, HCC. Detecting new key genes that play a role in the growth of HCC in HCV patients using machine...

  • Article
  • Open Access
65 Citations
8,698 Views
24 Pages

22 March 2020

Automatic recognition of emotion is important for facilitating seamless interactivity between a human being and intelligent robot towards the full realization of a smart society. The methods of signal processing and machine learning are widely applie...

  • Article
  • Open Access
36 Citations
5,523 Views
16 Pages

21 March 2020

In the case of marine accidents, monitoring marine oil spills can provide an important basis for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale, real-time monitoring, in all weather, with high-resolution. It...

  • Article
  • Open Access
6 Citations
4,497 Views
15 Pages

Adding Edges for Maximizing Weighted Reachability

  • Federico Corò,
  • Gianlorenzo D'Angelo and
  • Cristina M. Pinotti

18 March 2020

In this paper, we consider the problem of improving the reachability of a graph. We approach the problem from a graph augmentation perspective, in which a limited set size of edges is added to the graph to increase the overall number of reachable nod...

  • Article
  • Open Access
125 Citations
14,337 Views
33 Pages

Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics

  • Nebojsa Bacanin,
  • Timea Bezdan,
  • Eva Tuba,
  • Ivana Strumberger and
  • Milan Tuba

17 March 2020

Computer vision is one of the most frontier technologies in computer science. It is used to build artificial systems to extract valuable information from images and has a broad range of applications in various areas such as agriculture, business, and...

  • Article
  • Open Access
5 Citations
4,984 Views
21 Pages

Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media

  • George A. Papakostas,
  • John W. Nolan and
  • Athanasios C. Mitropoulos

16 March 2020

One of the most challenging problems that are still open in the field of materials science is the 3D reconstruction of porous media using information from a single 2D thin image of the original material. Such a reconstruction is only feasible subject...

  • Article
  • Open Access
11 Citations
5,236 Views
17 Pages

Observability of Uncertain Nonlinear Systems Using Interval Analysis

  • Thomas Paradowski,
  • Sabine Lerch,
  • Michelle Damaszek,
  • Robert Dehnert and
  • Bernd Tibken

16 March 2020

In the field of control engineering, observability of uncertain nonlinear systems is often neglected and not examined. This is due to the complex analytical calculations required for the verification. Therefore, the aim of this work is to provide an...

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Algorithms - ISSN 1999-4893