Advances in AI, IoT and Smart Sensors for Digital Healthcare Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 3922

Special Issue Editors


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Guest Editor
Department of Computer Science, Nottingham Trent University, Nottingham NG1 4FQ, UK
Interests: machine learning; deep learning; IoT; sensing technologies; edge computing; big data analytics; digital health

E-Mail Website
Guest Editor
Department of Computer Science, Nottingham Trent University, Nottingham NG1 4FQ, UK
Interests: neuromorphic engineering; edge computer vision; bio-inspired computing; robotics and intelligent sensors; retinal cell understanding; biological nervous system modelling; spiking neural networks; robotics and autonomous systems; and neuromorphic hardware; aquaculture; endangered/invasive underwater species

E-Mail Website
Guest Editor
Department of Computer Science, Nottingham Trent University, Nottingham NG1 4FQ, UK
Interests: application of computational intelligence for human activity recognition, behaviour modelling and abnormality detection

Special Issue Information

Dear Colleagues,

The rapid development of Artificial Intelligence (AI), Machine Learning, and sensing technologies has revolutionised various fields, including health, smart environments, and user-centred intelligent systems. These technologies, combined with Big Data Analytics, have enabled the creation of sophisticated, technology-driven solutions that improve the quality of life and enhance the functionality of modern systems.

One key area of focus is the application of AI and ML in developing digital health solutions. These advancements have attracted significant attention due to their ability to provide accurate, efficient, and personalised healthcare services. The integration of sensing technologies and sensor-enabled Internet of Things (IoT) devices further enhances these systems by enabling real-time data collection and analysis, which are crucial for timely and informed decision-making.

This Special Issue aims to provide a comprehensive overview of recent applications and advancements in AI, ML, and related fields, particularly in the context of digital health and smart environments. It seeks to highlight innovative research and development efforts that leverage these technologies to create intelligent, user-centred solutions. Contributions to this Special Issue will explore the synergy between AI, IoT, and smart sensors, as well as how they can be harnessed to address contemporary challenges in various domains.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Applications of AI and ML in healthcare and digital health;
  • Development and implementation of user-centred intelligent systems;
  • Advances in smart environments and their impact on patients’ quality of life;
  • Sensing technologies and their integration with IoT and edge computing;
  • Wireless sensor networks and activity recognition;
  • Emerging intelligent applications and their practical implications.

By bringing together cutting-edge research and practical insights, this Special Issue aims to foster a deeper understanding of how AI, IoT, and smart sensors can be applied to create innovative solutions that address real-world problems.

Dr. Isibor Kennedy Ihianle
Dr. Pedro Machado
Dr. Salisu Yahaya
Guest Editors

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Keywords

  • artificial intelligence
  • machine learning
  • deep learning
  • data analysis
  • big data analytics
  • digital health
  • sensing technologies
  • sensor-enabled IoT
  • edge computing
  • wireless sensor networks
  • activity recognition
  • smart environments
  • emerging intelligent applications

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Published Papers (3 papers)

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Research

25 pages, 1235 KiB  
Article
Artifical Intelligence-Based Smart Security System Using Internet of Things for Smart Home Applications
by Hakilo Sabit
Electronics 2025, 14(3), 608; https://doi.org/10.3390/electronics14030608 - 4 Feb 2025
Viewed by 826
Abstract
This study presents the design and development of an AI-based Smart Security System leveraging IoT technology for smart home applications. This research focuses on exploring and evaluating various artificial intelligence (AI) and Internet of Things (IoT) options, particularly in video processing and smart [...] Read more.
This study presents the design and development of an AI-based Smart Security System leveraging IoT technology for smart home applications. This research focuses on exploring and evaluating various artificial intelligence (AI) and Internet of Things (IoT) options, particularly in video processing and smart home security. The system is structured around key components: IoT technology elements, software management of IoT interactions, AI-driven video processing, and user information delivery methods. Each component’s selection is based on a comparative analysis of alternative approaches, emphasizing the advantages of the chosen solutions. This study provides an in-depth discussion of the theoretical framework and implementation strategies used to integrate these technologies into the security system. Results from the system’s deployment and testing are analyzed, highlighting the system’s performance and the challenges faced during integration. This study also addresses how these challenges were mitigated through specific adaptations. Finally, potential future enhancements are suggested to further improve the system, including recommendations on how these upgrades could advance the functionality and effectiveness of AI-based Smart Security Systems in smart home applications. Full article
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13 pages, 1524 KiB  
Article
A Mobile Application to Facilitate Meal Box Sharing in Corporate Environments Using Cloud Infrastructure
by Priya Tushar Mohod, Richard I. Otuka, Nemitari Ajienka, Isibor Kennedy Ihianle and Augustine O. Nwajana
Electronics 2024, 13(23), 4631; https://doi.org/10.3390/electronics13234631 - 24 Nov 2024
Viewed by 679
Abstract
Food waste is a pressing global issue, particularly in urban settings, where substantial amounts of surplus food go unused. In corporate environments, this challenge is compounded by the lack of dedicated platforms to facilitate food sharing and reduce waste effectively. This paper examines [...] Read more.
Food waste is a pressing global issue, particularly in urban settings, where substantial amounts of surplus food go unused. In corporate environments, this challenge is compounded by the lack of dedicated platforms to facilitate food sharing and reduce waste effectively. This paper examines the current landscape of food waste, existing solutions, and the need for a specialised platform aimed at corporate employees. The proposed solution is the creation of a user-friendly application that enables the sharing of untouched homemade meals. Suppliers can post their meal boxes with details such as location, type of food, and availability status, while consumers can search for and select meal boxes based on their preferences. This paper addresses the gap in solutions for reducing food waste within corporate environments. The meal-box-sharing app provides a practical and sustainable method for minimising food waste and promoting productivity, health, and safety in the workplace. Full article
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18 pages, 769 KiB  
Article
A Smart Healthcare System for Remote Areas Based on the Edge–Cloud Continuum
by Xian Gao, Peixiong He, Yi Zhou and Xiao Qin
Electronics 2024, 13(21), 4152; https://doi.org/10.3390/electronics13214152 - 23 Oct 2024
Viewed by 1881
Abstract
The healthcare sector is undergoing a significant transformation due to the rapid expansion of data and advancements in digital technologies. The increasing complexity of healthcare data, including electronic health records (EHRs), medical imaging, and patient monitoring, underscores the necessity of big data technologies. [...] Read more.
The healthcare sector is undergoing a significant transformation due to the rapid expansion of data and advancements in digital technologies. The increasing complexity of healthcare data, including electronic health records (EHRs), medical imaging, and patient monitoring, underscores the necessity of big data technologies. These technologies are essential for enhancing decision-making, personalizing treatments, and optimizing operations. Digitalization further revolutionizes healthcare by improving accessibility and convenience through technologies such as EHRs, telemedicine, and wearable health devices. Cloud computing, with its scalable resources and cost efficiency, plays a crucial role in managing large-scale healthcare data and supporting remote treatment. However, integrating cloud computing in healthcare, especially in remote areas with limited network infrastructure, presents challenges. These include difficulties in accessing cloud services and concerns over data security. This article proposes a smart healthcare system utilizing the edge-cloud continuum to address these issues. The proposed system aims to enhance data accessibility and security while maintaining high prediction accuracy for disease management. The study includes foundational knowledge of relevant technologies, a detailed system architecture, experimental design, and discussions on conclusions and future research directions. Full article
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