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Algorithms, Volume 16, Issue 2

February 2023 - 64 articles

Cover Story: We explored the ability of a deep learning algorithm to segment ancient Egyptian hieroglyphs present in an image. The issue is complex, the main obstacles being the high number of different classes of existing hieroglyphs and the differences related to the hand of the scribe, as well as the great differences among the various supports, such as papyri, stone or wood, where they are written. Furthermore, deterioration to the supports occurs frequently in all archaeological findings, which has the effect of partially corrupting the hieroglyphs. We leveraged the well-known Detectron2 platform to tackle this difficult challenge, focusing on the Mask R-CNN architecture to carry out image instance segmentation. The results show good achievements as well as the current limitations of our study. View this paper
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Articles (64)

  • Article
  • Open Access
11 Citations
5,679 Views
18 Pages

19 February 2023

Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the ph...

  • Article
  • Open Access
1 Citations
2,526 Views
20 Pages

IRONEDGE: Stream Processing Architecture for Edge Applications

  • João Pedro Vitorino,
  • José Simão,
  • Nuno Datia and
  • Matilde Pato

17 February 2023

This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for “Smart Infrastructure” scenarios, on a case-by-case basis. The architectural framework identifies the common compo...

  • Article
  • Open Access
7 Citations
3,642 Views
30 Pages

16 February 2023

For quadrotor control applications, it is necessary to rely on attitude angle changes to indirectly achieve the position trajectory tracking purpose. Several existing literature studies omit the non-negligible attitude transients in the position cont...

  • Article
  • Open Access
11 Citations
6,079 Views
21 Pages

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data

  • Jinhong Wu,
  • Konstantinos Plataniotis,
  • Lucy Liu,
  • Ehsan Amjadian and
  • Yuri Lawryshyn

16 February 2023

Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data...

  • Article
  • Open Access
9 Citations
4,032 Views
12 Pages

15 February 2023

The high cost of acquiring training data in the field of emotion recognition based on electroencephalogram (EEG) is a problem, making it difficult to establish a high-precision model from EEG signals for emotion recognition tasks. Given the outstandi...

  • Article
  • Open Access
3 Citations
3,551 Views
14 Pages

15 February 2023

Periodic phenomena are oscillating signals found in many naturally occurring time series. A periodogram can be used to measure the intensities of oscillations at different frequencies over an entire time series, but sometimes, we are interested in me...

  • Article
  • Open Access
10 Citations
3,255 Views
17 Pages

15 February 2023

A system for the rapid prototyping of real-time control algorithms for open-circuit variable displacement axial-piston pumps is presented. In order to establish real-time control, and communication and synchronization with the programmable logic cont...

  • Article
  • Open Access
1 Citations
2,804 Views
12 Pages

Extrinsic Bayesian Optimization on Manifolds

  • Yihao Fang,
  • Mu Niu,
  • Pokman Cheung and
  • Lizhen Lin

15 February 2023

We propose an extrinsic Bayesian optimization (eBO) framework for general optimization problems on manifolds. Bayesian optimization algorithms build a surrogate of the objective function by employing Gaussian processes and utilizing the uncertainty i...

  • Article
  • Open Access
5 Citations
2,602 Views
14 Pages

PigSNIPE: Scalable Neuroimaging Processing Engine for Minipig MRI

  • Michal Brzus,
  • Kevin Knoernschild,
  • Jessica C. Sieren and
  • Hans J. Johnson

15 February 2023

Translation of basic animal research to find effective methods of diagnosing and treating human neurological disorders requires parallel analysis infrastructures. Small animals such as mice provide exploratory animal disease models. However, many int...

  • Article
  • Open Access
8 Citations
2,630 Views
20 Pages

14 February 2023

Recycling is very important for a sustainable and clean environment. Developed and developing countries are both facing the problem of waste management and recycling issues. On the other hand, the Internet of Things (IoT) is a famous and applicable i...

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Algorithms - ISSN 1999-4893Creative Common CC BY license