ICT and AI in Intelligent E-Systems—2nd Edition

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: 20 July 2026 | Viewed by 1952

Special Issue Editors


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Guest Editor
School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia
Interests: intelligent E-systems; E-health; AI education; cloud computing; cyber security
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Professional Practice and Leadership, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: digital transformation; digital processing visualization; E-commerce; business intelligence; m-Health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

AI is currently considered the most important innovative development in the field of ICT. Today, many companies have an interest in incorporating AI into their business operations regardless of their industry. It is inarguable that AI will transform the business architectures in the next 5–10 years. Organizations see AI as a strategic tool that both minimizes costs and accelerates decision-making processes. This is because AI-powered systems can analyze real-time data from different sources to make rapid and informed decisions. This can enable the application of intelligent features such as autonomous vehicle systems and intelligent driver assistance systems in order to prevent accidents. 

We invite researchers, academicians, and practitioners to contribute to this Special Issue focused on ICT and AI in intelligent E-systems. This Special Issue aims to explore the successes, lessons learned, and innovative paradigms related to using ICT and AI in intelligent E-systems. We welcome the submission of original research papers, case studies, and review articles.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • State-of-the-art ICT and AI integration with intelligent E-systems;
  • ICT and AI-powered Intelligent E-systems in Industry 4.0/5.0;
  • Case studies that highlight successful ICT and AI integration in intelligent E-systems;
  • The challenges encountered in adopting ICT and AI integration in intelligent E-systems and the lessons derived from those challenges;
  • Innovative approaches and paradigms in ICT and AI integration in intelligent E-systems;
  • Explorations of the influence of ICT and AI integration on intelligent E-systems in businesses.

Prof. Dr. Ergun Gide
Dr. Robert M. X. Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • digital transformation
  • E-systems
  • E-business
  • data visualization
  • business intelligence
  • intelligent IS
  • business analytics
  • ICT higher education

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Related Special Issue

Published Papers (2 papers)

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Research

25 pages, 5915 KB  
Article
A Hybrid AI-Driven Knowledge-Based Expert System for Optimizing Gear Design: A Case Study for Education
by Boris Aberšek, Samo Kralj and Andrej Flogie
Future Internet 2026, 18(1), 25; https://doi.org/10.3390/fi18010025 - 1 Jan 2026
Viewed by 597
Abstract
This paper presents a hybrid knowledge-based expert system (KBES) designed to predict crack incubation and fatigue life in gear design, serving as both a research tool and an educational resource. While crack growth and initiation are well understood, crack incubation remains a challenging [...] Read more.
This paper presents a hybrid knowledge-based expert system (KBES) designed to predict crack incubation and fatigue life in gear design, serving as both a research tool and an educational resource. While crack growth and initiation are well understood, crack incubation remains a challenging area. The presented expert system (KBES) integrates a novel mathematical model for crack incubation based on analogy and defect analysis principles with an optimization algorithm for gear design. The system uses genetic algorithms to optimize gear parameters, demonstrating a 5–10% deviation from experimental values in a specific gear design problem case study. Based on this KBES and a hybrid approach, we developed a learning environment based on an intelligent tutoring system (ITS) which serves older students (MSc and PhD) as a learning environment for the acquisition of knowledge and, above all, for the development of an in-depth understanding of the phenomena that occur both during incubation and initialization and during the further propagation of cracks in the root of the gear tooth, which is the basis for determining the lifespan of gear transmissions. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-Systems—2nd Edition)
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23 pages, 2677 KB  
Article
An Intelligent Software Architecture for Digital Library Systems in Sustainable Education
by Ana M. Gonzalez de Miguel and Antonio Sarasa-Cabezuelo
Future Internet 2026, 18(1), 1; https://doi.org/10.3390/fi18010001 - 19 Dec 2025
Cited by 1 | Viewed by 948
Abstract
This paper presents an innovative approach to the design of intelligent software architecture for Digital Library Systems (DLSs) and the evaluation of this in the context of sustainable education. By leveraging Artificial Intelligence (AI) technologies, global cooperation and best practices in Software Engineering, [...] Read more.
This paper presents an innovative approach to the design of intelligent software architecture for Digital Library Systems (DLSs) and the evaluation of this in the context of sustainable education. By leveraging Artificial Intelligence (AI) technologies, global cooperation and best practices in Software Engineering, we propose the design of a model that enhances the management, access and usability of digital libraries. Our framework introduces intelligent services for decision-making processes, research activities, and personalized learning experiences. Through global collaboration, our architecture aims to contribute significantly to achieving Sustainable Development Goal 4 (SDG4), ensuring inclusive and equitable education worldwide. Full article
(This article belongs to the Special Issue ICT and AI in Intelligent E-Systems—2nd Edition)
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