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Future Internet, Volume 16, Issue 7

July 2024 - 39 articles

Cover Story: Digital twins, virtual replicas of physical systems, have revolutionized smart manufacturing by enabling advanced simulation and early fault diagnosis. However, these models deteriorate over time due to dynamic data streams. To address this issue, Ragini Gupta and her fellow researchers from Prof. Klara Nahrstedt's lab at the University of Illinois at Urbana-Champaign introduced TWIN-ADAPT, a continuous learning framework for real-time anomaly classification in IoT-driven semiconductor labs, cleanrooms. TWIN-ADAPT uses dual-window strategies to detect and adapt to concept drift and Particle Swarm Optimization for hyperparameter tuning. Tested on cleanroom datasets, it demonstrates superior performance, handling both abrupt and gradual data changes. View this paper
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Articles (39)

  • Article
  • Open Access
28 Citations
9,061 Views
36 Pages

Enhancing Network Slicing Security: Machine Learning, Software-Defined Networking, and Network Functions Virtualization-Driven Strategies

  • José Cunha,
  • Pedro Ferreira,
  • Eva M. Castro,
  • Paula Cristina Oliveira,
  • Maria João Nicolau,
  • Iván Núñez,
  • Xosé Ramon Sousa and
  • Carlos Serôdio

The rapid development of 5G networks and the anticipation of 6G technologies have ushered in an era of highly customizable network environments facilitated by the innovative concept of network slicing. This technology allows the creation of multiple...

  • Review
  • Open Access
12 Citations
3,841 Views
27 Pages

Modern building automation systems implement plenty of advanced control and monitoring functions that consider various parameters like users’ activity, lighting, temperature changes, etc. Moreover, novel solutions based on the Internet of Thing...

  • Article
  • Open Access
5 Citations
3,732 Views
17 Pages

Quantized large language models are large language models (LLMs) optimized for model size while preserving their efficacy. They can be executed on consumer-grade computers without the powerful features of dedicated servers needed to execute regular (...

  • Article
  • Open Access
1 Citations
2,074 Views
21 Pages

The Internet architecture has recently shifted towards a framework characterized by multiple interconnected cloud sites, all linked via an L3 IP network. With this shift, managing networking controls among multiple cloud sites is becoming a significa...

  • Article
  • Open Access
5 Citations
2,224 Views
16 Pages

INFLUTRUST: Trust-Based Influencer Marketing Campaigns in Online Social Networks

  • Adedamola Adesokan,
  • Aisha B Rahman and
  • Eirini Eleni Tsiropoulou

This paper introduces the INFLUTRUST framework that is designed to address challenges in trust-based influencer marketing campaigns on Online Social Networks (OSNs). The INFLUTRUST framework enables the influencers to autonomously select products acr...

  • Review
  • Open Access
5 Citations
3,801 Views
33 Pages

Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis

  • Loukas Triantafyllopoulos,
  • Evgenia Paxinou,
  • Georgios Feretzakis,
  • Dimitris Kalles and
  • Vassilios S. Verykios

The integration of artificial intelligence (AI) into medical practice has become a critical focus in contemporary medical research. This bibliometric analysis examined the scope of AI utilization across the healthcare spectrum by analyzing a signific...

  • Article
  • Open Access
2 Citations
1,700 Views
20 Pages

Public administration frequently deals with geographically scattered personal data between multiple government locations and organizations. As digital technologies advance, public administration is increasingly relying on collaborative intelligence w...

  • Review
  • Open Access
34 Citations
14,833 Views
23 Pages

AI chatbots have emerged as powerful tools for providing text-based solutions to a wide range of everyday challenges. Selecting the appropriate chatbot is crucial for optimising outcomes. This paper presents a comprehensive comparative analysis of fi...

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Future Internet - ISSN 1999-5903