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Signals, Volume 2, Issue 3

September 2021 - 14 articles

Cover Story: Generative adversarial networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision, in particular. Compared to such examples, however, there have been more limited applications of GANs to time series modeling, including forecasting. In this work, we present the Mixture Density Conditional Generative Adversarial Model (MD-CGAN), with a focus on time series forecasting. We show that our model is capable of estimating a probabilistic posterior distribution over forecasts and that, in comparison to a set of benchmark methods, the MD-CGAN model performs well, particularly in situations where noise is a significant component of the observed time series. Further, by using a Gaussian mixture model as the output distribution, MD-CGAN offers posterior predictions that are non-Gaussian. View this paper
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Articles (14)

  • Article
  • Open Access
9 Citations
4,058 Views
16 Pages

8 September 2021

Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action-related tasks. However, 3D-CNN are notorious for being memory and compute resource intensive as compared...

  • Article
  • Open Access
2 Citations
3,711 Views
19 Pages

6 September 2021

With power designers always demanding for faster power switches, electromagnetic interference has become an issue of primary concern. As known, the commutation of power transistors is the main cause of the electromagnetic noise, which can be worsened...

  • Article
  • Open Access
4,560 Views
16 Pages

3 September 2021

Most IoT networks implement one-way messages from the sensor nodes to the “application host server” via a gateway. Messages from any sensor node in the network are sent when its sensor is triggered or at regular intervals as dictated by the applicati...

  • Article
  • Open Access
4 Citations
5,580 Views
11 Pages

1 September 2021

Generative Adversarial Networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision, in particular. Compared to such examples, however, there have been more limited applications of GAN...

  • Article
  • Open Access
2 Citations
5,420 Views
19 Pages

Guided Facial Skin Color Correction

  • Keiichiro Shirai,
  • Tatsuya Baba,
  • Shunsuke Ono,
  • Masahiro Okuda,
  • Yusuke Tatesumi and
  • Paul Perrotin

24 August 2021

This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to background colors. In portrait photographs, skin color is often distorted due...

  • Article
  • Open Access
2,540 Views
13 Pages

17 August 2021

Vulnerable traffic users, such as bikers and pedestrians, account for a significant number of fatalities on the roadways. Extensive research has been conducted in the literature review to identify factors to those crashes. Studying factors to those c...

  • Article
  • Open Access
8 Citations
4,182 Views
19 Pages

13 August 2021

This paper describes an automatic drum transcription (ADT) method that directly estimates a tatum-level drum score from a music signal in contrast to most conventional ADT methods that estimate the frame-level onset probabilities of drums. To estimat...

  • Article
  • Open Access
2 Citations
3,744 Views
18 Pages

6 August 2021

We developed a hearing assistance system that enables hearing-impaired people to track the horizontal movement of a single sound source. The movement of the sound source is presented to the subject by vibrating vibrators on both shoulders according t...

  • Article
  • Open Access
1 Citations
2,722 Views
15 Pages

17 July 2021

This paper presents a novel adaptive probabilistic algorithm to identify damage characteristics by integrating the use of the frequency response function with an optimization approach. The proposed algorithm evaluates the probability of damage existe...

  • Article
  • Open Access
2 Citations
3,570 Views
19 Pages

Voice Transformation Using Two-Level Dynamic Warping and Neural Networks

  • Al-Waled Al-Dulaimi,
  • Todd K. Moon and
  • Jacob H. Gunther

14 July 2021

Voice transformation, for example, from a male speaker to a female speaker, is achieved here using a two-level dynamic warping algorithm in conjunction with an artificial neural network. An outer warping process which temporally aligns blocks of spee...

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Signals - ISSN 2624-6120