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Algorithms, Volume 15, Issue 8

August 2022 - 41 articles

Cover Story: Recent studies have been evaluating the presence of patterns associated with the occurrence of cancer in different types of tissue. In this article, we describe preliminary results for the automatic detection of cancer (Walker 256 tumor) in laboratory animals using preclinical microphotographs of the subject’s liver tissue. In the proposed approach, two different types of descriptors were explored to capture texture properties from the images, one based on spectral information and another built by application of a granulometry given by a family of morphological filters. We tried three different classifier methods (SVM, kNN, and logistic regression). Promising results were obtained for both descriptors in isolation, and even better results were achieved by combining classifiers based on them. View this paper
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Articles (41)

  • Article
  • Open Access
1 Citations
2,464 Views
17 Pages

Fast Conflict Detection for Multi-Dimensional Packet Filters

  • Chun-Liang Lee,
  • Guan-Yu Lin and
  • Yaw-Chung Chen

14 August 2022

To support advanced network services, Internet routers must perform packet classification based on a set of rules called packet filters. If two or more filters overlap, a filter conflict will occur and lead to ambiguity in packet classification. Furt...

  • Article
  • Open Access
8 Citations
2,641 Views
32 Pages

A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic

  • Satyam Paul,
  • Rob Turnbull,
  • Davood Khodadad and
  • Magnus Löfstrand

12 August 2022

The fault detection system using automated concepts is a crucial aspect of the industrial process. The automated system can contribute efficiently in minimizing equipment downtime therefore improving the production process cost. This paper highlights...

  • Review
  • Open Access
93 Citations
24,857 Views
27 Pages

Adversarial Training Methods for Deep Learning: A Systematic Review

  • Weimin Zhao,
  • Sanaa Alwidian and
  • Qusay H. Mahmoud

12 August 2022

Deep neural networks are exposed to the risk of adversarial attacks via the fast gradient sign method (FGSM), projected gradient descent (PGD) attacks, and other attack algorithms. Adversarial training is one of the methods used to defend against the...

  • Review
  • Open Access
13 Citations
13,611 Views
27 Pages

12 August 2022

Games have long been benchmarks and test-beds for AI algorithms. With the development of AI techniques and the boost of computational power, modern game AI systems have achieved superhuman performance in many games played by humans. These games have...

  • Article
  • Open Access
14 Citations
4,708 Views
22 Pages

11 August 2022

Crack detection on historical surfaces is of significant importance for credible and reliable inspection in heritage structural health monitoring. Thus, several object detection deep learning models are utilized for crack detection. However, the majo...

  • Article
  • Open Access
6 Citations
4,070 Views
15 Pages

9 August 2022

The availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major applicati...

  • Article
  • Open Access
6 Citations
3,033 Views
17 Pages

7 August 2022

The employment of conventional optimization procedures that must be repeatedly invoked during the optimization process in real-world engineering applications is hindered despite significant gains in computing power by computationally expensive models...

  • Article
  • Open Access
2 Citations
2,647 Views
24 Pages

5 August 2022

This paper compares two strategies to compute buoyancy-driven flows using stabilized methods. Both formulations are based on a unified approach for solving compressible and incompressible flows, which solves the continuity, momentum, and total energy...

  • Article
  • Open Access
12 Citations
2,880 Views
16 Pages

Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm

  • Oscar Danilo Montoya,
  • Walter Gil-González and
  • Luis Fernando Grisales-Noreña

5 August 2022

This paper focuses on minimizing the annual operative costs in monopolar DC distribution networks with the inclusion of solar photovoltaic (PV) generators while considering a planning period of 20 years. This problem is formulated through a mixed-int...

  • Editorial
  • Open Access
1,998 Views
5 Pages

Algorithms for Reliable Estimation, Identification and Control

  • Andreas Rauh,
  • Luc Jaulin and
  • Julien Alexandre dit Sandretto

5 August 2022

The two-part Special Issue “Algorithms for Reliable Estimation, Identification and Control” deals with the optimization of feedforward and feedback controllers with respect to predefined performance criteria as well as the state and param...

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Algorithms - ISSN 1999-4893