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Future Internet, Volume 15, Issue 9

September 2023 - 36 articles

Cover Story: Digital twins enhance the intelligent manufacturing process by replicating system behavior, offering real-time analysis, and predictive maintenance during operations. Due to modeling complexity, most of them use purely data-driven approaches without considering physical phenomena. To attenuate modeling error and increase modeling interpretability, this paper proposes a novel approach, using neural ODEs and physical dynamical equations for cooling fan system digital twins. This hybrid modeling approach achieves accurate prediction with fewer parameters and is robust against unexpected input patterns. This work demonstrates great potential for adapting neural networks into a physical or mathematical framework, enabling more intelligent and robust manufacturing processes in the future. View this paper
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Articles (36)

  • Article
  • Open Access
7 Citations
3,840 Views
27 Pages

10 September 2023

The Internet of Things (IoT) enables us to gain access to a wide range of data from the physical world that can be analyzed for deriving critical state information. In this regard, machine learning (ML) is a valuable tool that can be used to develop...

  • Article
  • Open Access
3 Citations
2,181 Views
19 Pages

8 September 2023

Sequential programs can benefit from parallel execution to improve their performance. When developing a parallel application, several techniques are employed to achieve the desired behavior: identifying parts that can run in parallel, synchronizing a...

  • Article
  • Open Access
5 Citations
2,079 Views
17 Pages

7 September 2023

Web 3.0 is the basis on which the proposed metaverse, a seamless virtual world enabled by computers and interconnected devices, hopes to interact with its users, but beyond the high-level project overview of what Web 3.0 applications try to achieve,...

  • Article
  • Open Access
6 Citations
5,413 Views
21 Pages

Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model

  • Alireza Tavakolian,
  • Alireza Rezaee,
  • Farshid Hajati and
  • Shahadat Uddin

6 September 2023

Hospital readmission and length-of-stay predictions provide information on how to manage hospital bed capacity and the number of required staff, especially during pandemics. We present a hybrid deep model called the Genetic Algorithm-Optimized Convol...

  • Article
  • Open Access
4 Citations
2,553 Views
19 Pages

Internet of Robotic Things (IoRT) and Metaheuristic Optimization Techniques Applied for Wheel-Legged Robot

  • Mateusz Malarczyk,
  • Grzegorz Kaczmarczyk,
  • Jaroslaw Szrek and
  • Marcin Kaminski

6 September 2023

This paper presents the operation of a remotely controlled, wheel-legged robot. The developed Wi-Fi connection framework is established on a popular ARM microcontroller board. The implementation provides a low-cost solution that is in congruence with...

  • Article
  • Open Access
7 Citations
2,965 Views
19 Pages

4 September 2023

Digital twins can reflect the dynamical behavior of the identified system, enabling self-diagnosis and prediction in the digital world to optimize the intelligent manufacturing process. One of the key benefits of digital twins is the ability to provi...

  • Article
  • Open Access
4 Citations
4,292 Views
24 Pages

3 September 2023

With the rapid development of the Internet of Things, the number of wireless devices is increasing rapidly. Because of the limited battery capacity, these devices may suffer from the issue of power depletion. Radio frequency (RF) energy harvesting te...

  • Article
  • Open Access
16 Citations
9,071 Views
18 Pages

Application of ChatGPT-Based Digital Human in Animation Creation

  • Chong Lan,
  • Yongsheng Wang,
  • Chengze Wang,
  • Shirong Song and
  • Zheng Gong

2 September 2023

Traditional 3D animation creation involves a process of motion acquisition, dubbing, and mouth movement data binding for each character. To streamline animation creation, we propose combining artificial intelligence (AI) with a motion capture system....

  • Article
  • Open Access
8 Citations
2,547 Views
18 Pages

Precoding for RIS-Assisted Multi-User MIMO-DQSM Transmission Systems

  • Francisco R. Castillo-Soria,
  • J. Alberto Del Puerto-Flores,
  • Cesar A. Azurdia-Meza,
  • Vinoth Babu Kumaravelu,
  • Jorge Simón and
  • Carlos A. Gutierrez

2 September 2023

This paper presents two precoding techniques for a reconfigurable intelligent surface (RIS)-assisted multi-user (MU) multiple-input multiple-output (MIMO) double quadrature spatial modulation (DQSM) downlink transmission system. Instead of being appl...

  • Article
  • Open Access
1 Citations
3,444 Views
20 Pages

1 September 2023

Network traffic classification (NTC) has attracted great attention in many applications such as secure communications, intrusion detection systems. The existing NTC methods based on supervised learning rely on sufficient labeled datasets in the train...

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Future Internet - ISSN 1999-5903