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Information, Volume 13, Issue 6

June 2022 - 41 articles

Cover Story: Efficient shortest path algorithms are of key importance for routing and navigation systems. However, these applications are designed focusing on the requirements of motor vehicles, and therefore, finding paths in pedestrian sections of urban areas is not sufficiently supported. In addition, finding the shortest path is often not adequate for urban sidewalk routes, as users of these applications may also be interested in alternative routes that, although slightly longer, possess other desirable features and properties. The purpose of this paper is to present a heuristic algorithm for graph datasets that implements a penalty-based method which, by increasing certain edge weights, effectively searches for the most accessible alternative paths in multi-route cases. View this paper
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Articles (41)

  • Article
  • Open Access
6 Citations
3,403 Views
11 Pages

10 June 2022

The digital transformation of core marketing activities substantially impacts relations between consumers and companies. Novel technologies are usually complex, making their underlying functionality as well as the desirable and undesirable implicatio...

  • Article
  • Open Access
2 Citations
2,273 Views
15 Pages

On the Use of Mouse Actions at the Character Level

  • Ángel Navarro and
  • Francisco Casacuberta

Neural Machine Translation (NMT) has improved performance in several tasks up to human parity. However, many companies still use Computer-Assisted Translation (CAT) tools to achieve perfect translation, as well as other tools. Among these tools, we f...

  • Article
  • Open Access
8 Citations
4,052 Views
15 Pages

Multilingual Offline Signature Verification Based on Improved Inverse Discriminator Network

  • Nurbiya Xamxidin,
  • Mahpirat,
  • Zhixi Yao,
  • Alimjan Aysa and
  • Kurban Ubul

To further improve the accuracy of multilingual off-line handwritten signature verification, this paper studies the off-line handwritten signature verification of monolingual and multilingual mixture and proposes an improved verification network (IDN...

  • Review
  • Open Access
57 Citations
14,398 Views
12 Pages

Fourth Industrial Revolution between Knowledge Management and Digital Humanities

  • Muhammad Anshari,
  • Muhammad Syafrudin and
  • Norma Latif Fitriyani

The Fourth Industrial Revolution (4IR) offers optimum productivity and efficiency via automation, expert systems, and artificial intelligence. The Fourth Industrial Revolution deploys smart sensors, Cyber-Physical Systems (CPS), Internet of Things (I...

  • Article
  • Open Access
9 Citations
5,521 Views
18 Pages

Consumer adoption of electric vehicles is essentially related to product quality factors, such as safety, performance and compatibility; however, the relationship between product quality standards and consumer behavior is not clear. Based on Multi-At...

  • Article
  • Open Access
1 Citations
2,707 Views
9 Pages

Composing the representation of a sentence from the tokens that it comprises is difficult, because such a representation needs to account for how the words present relate to each other. The Transformer architecture does this by iteratively changing t...

  • Communication
  • Open Access
14 Citations
4,817 Views
10 Pages

Augmented reality (AR) has found application in online games, social media, interior design, and other services since the success of the smartphone game Pokémon Go in 2016. With recent news on the metaverse and the AR cloud, the contexts in wh...

  • Article
  • Open Access
9 Citations
4,057 Views
14 Pages

A Routing and Task-Allocation Algorithm for Robotic Groups in Warehouse Environments

  • Antonios Chatzisavvas,
  • Petros Chatzitoulousis,
  • Dimitris Ziouzios and
  • Minas Dasygenis

In recent years, the need for robotic fleets in large warehouse environments has constantly increased. The customers require faster services concerning the delivery of their products, making the use of systems such as robots and order-management soft...

  • Article
  • Open Access
5 Citations
3,421 Views
25 Pages

In recent years, researchers from the fields of computer vision, language, graphics, and robotics have tackled Embodied AI research. Embodied AI can learn through interaction with the real world and virtual environments and can perform various tasks...

  • Article
  • Open Access
12 Citations
4,389 Views
17 Pages

This study proposes a digital twin (DT) application framework that integrates deep reinforcement learning (DRL) algorithms for the dynamic scheduling of crane transportation in workshops. DT is used to construct the connection between the workshop se...

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Information - ISSN 2078-2489