Intelligent Information Systems and Services Based on the Internet of Everything
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Products and Services".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 2585
Special Issue Editors
Interests: distributed systems; sensor networks; IoT protocols and algorithms; big data; cluster-based systems; databases; load balancing algorithms; middleware protocol design; network modeling; computer networks
Special Issues, Collections and Topics in MDPI journals
Interests: signal and image processing; medical image analysis; bioinformatics; data science; machine learning; computer vision; pattern recognition with specific interests in scientific areas such as deep learning; statistical modeling and analysis in medical/biological imaging; optical flow estimation; signal and image registration; and segmentation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Automation is already present in our lives through Artificial Intelligence (AI) and the Internet of Things (IoT), which work together in industry, agriculture, energy, finance, healthcare, manufacturing, retail, transportation, and logistics applications. These technological aspects and advancements have created tremendous change worldwide, boosting economies, increasing productivity, and providing new opportunities.
Intelligent Information Systems (IISs) and their applications play a prominent role in this automation. Such distributed and cloud-deployed systems, which interface with IoT actuating and sensory components, are accumulating Big Data information. Such systems’ services also implement Machine Learning (ML) algorithms using Deep Learning (DL) models which provide decisions, classifications, and predictions.
The Internet of Everything (IoE), the next IoT big leap, embodies the concept of all-around thing connectivity. It also promotes the need for system-level smart and cognitive processes or algorithms supported by Machine Learning and Deep Learning logic. Moreover, current IoE trends also focus on instantiating processing or pre-processing actions performed at the machine-level end. The next big IoE step is also to automate cloud-trained modeling for classification, prediction, and detection processes performed by IoT motes.
Information Systems, including services supported by IoT devices, have created the need for sustainability. To implement these Sustainable Intelligent Information Systems, designers must address several important issues, including low energy consumption, transparent and decentralized connectivity data manipulation, IoT device cost, memory usage, process model training, and accuracy.
This Special Issue aims to aid the emergence of new distributed or cloud-based architectures for the Internet of Things, including smart algorithms and services for everyday applications targeting holistic, innovative, and sustainable systems. We encourage contributors to design innovative Intelligent Information Systems, Decision Support Systems, Incident Response Systems, distributed data collection processes, and Deep-Learning/Machine-Learning architectures and algorithms provided as a service, associated with but not limited to:
- Distributed Systems’ modeling, analysis, simulation, and verification of intelligent algorithms and low-power IoT distributed applications.
- Internet of Things, smart algorithms, provided as services over Distributed and Cloud-based Decision Support Systems.
- Hardware and software co-design of intelligent Distributed Management Systems solutions for the industry, agriculture, cities, infrastructures, healthcare, logistics, economy, energy, and other fields.
- Interactive low-energy protocols and middleware IoT/Distributed Systems, protocols, and services supporting Machine Learning and Artificial Intelligence in decisions and management processes.
- Design, evaluation, and implementation of novel IoT solutions incorporating Machine Learning, Deep Learning, and Data-Mining logic.
We look forward to receiving your contributions.
Dr. Sotirios Kontogiannis
Dr. Theodosios Gkamas
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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
- distributed systems
- cloud-based decision support systems and services
- IoT
- machine learning
- and deep learning services and applications
