Internet of Things (IoT) for Next-Generation Smart Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 February 2025 | Viewed by 997

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Guest Editor
College of Engineering, Northeastern University, Boston, MA 02115, USA
Interests: IoT; real-time communication; signal processing and communications
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Special Issue Information

Dear Colleagues,

Cyber–physical smart Systems (CPSS) rely on three primary components:

  • Cyber component: This component integrates intelligent applications that transform information into knowledge;
  • Physical component: This component comprises devices such as sensors, controllers, and actuators that convert data into information;
  • Communication/networking component: This component, utilizing IoT protocols and technologies, facilitates connectivity between the other two components.

This Special Issue looks at the latest advancements in CPSS, with a focus on IoT mechanisms that support the deployment of intelligent device-interacting applications. It examines the placement of smart applications, whether on the cloud, the edge, or the devices themselves, and how this positioning influences the nature and type of communication mechanisms as well as sensing, control, and actuation capabilities. Topics include, but are not limited to the following:

  • Distributed intelligence: cloud vs. fog vs. mist computing;
  • IoT low-power wide-area network (LPWAN) physical layers to support distributed intelligence: LoRa, NB-IoT, LTE-M, and 5G RedCap;
  • IoT wireless personal area network (WPAN) physical layers to support distributed intelligence: IEEE 802.15.4, BLE, and ITU G.9903;
  • IoT routing and IP adaptation to support distributed intelligence;
  • IoT protocol stack virtualization;
  • IoT software-defined networks;
  • Cyber-physical smart system architectures: representational state Transfer (REST) vs. event-driven architectures (EDA)

Dr. Rolando Herrero
Guest Editor

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Keywords

  • IoT
  • cyber–physical systems
  • ML
  • TinyML
  • cloud
  • mist
  • fog
  • edge
  • LPWAN
  • WPAN

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Published Papers (1 paper)

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Research

17 pages, 5816 KiB  
Article
Integrated AI Medical Emergency Diagnostics Advising System
by Sergey K. Aityan, Abdolreza Mosaddegh, Rolando Herrero, Francesco Inchingolo, Kieu C. D. Nguyen, Mario Balzanelli, Rita Lazzaro, Nicola Iacovazzo, Angelo Cefalo, Lucia Carriero, Manuel Mersini, Jacopo M. Legramante, Marilena Minieri, Luigi Santacroce and Ciro Gargiulo Isacco
Electronics 2024, 13(22), 4389; https://doi.org/10.3390/electronics13224389 - 8 Nov 2024
Viewed by 509
Abstract
The application of AI (Artificial Intelligence) in emergency medicine helps significantly improve the quality of diagnostics under limitations of resources and time constraints in emergency cases. We have designed a comprehensive AI-based diagnostic and treatment plan decision-support system for emergency medicine by integrating [...] Read more.
The application of AI (Artificial Intelligence) in emergency medicine helps significantly improve the quality of diagnostics under limitations of resources and time constraints in emergency cases. We have designed a comprehensive AI-based diagnostic and treatment plan decision-support system for emergency medicine by integrating the available LLMs (Large Language Models), like ChatGPT, Gemini, Claude, and others, and tuning them up with additional training on actual emergency cases. There is a special focus on early detection of life-threatening and time-sensitive diseases like sepsis, stroke, and heart attack, which are the major causes of death in emergency medicine. Additional training was conducted on a total of 600 cases (300 sepsis; 300 non-sepsis). The collective capability of the integrated LLMs is much stronger than each individual engine. Emergency cases can be predicted based on information from multiple sensors and streaming sources combining traditional IT (Information Technology) infrastructure with Internet of Things (IoT) schemes. Medical personnel compare and validate the AI models used in this work. Full article
(This article belongs to the Special Issue Internet of Things (IoT) for Next-Generation Smart Systems)
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