Special Issue "Machine Learning and Artificial Intelligence in Engineering Applications"
Deadline for manuscript submissions: 15 March 2024 | Viewed by 4393
Interests: distributed systems; sensor networks; IoT; embedded systems; IoT protocols and algorithms; big data; cluster-based systems; databases; load balancing algorithms; middleware protocol design; network mod
Special Issues, Collections and Topics in MDPI journals
Special Issue in Algorithms: IoT Protocols and Algorithms in the Era of IoE
Special Issue in Sustainability: Intelligent Information Systems and Services Based on the Internet of Everything
Interests: human reliability; quantitative risk assessment; risk management; accident analysis
Special Issues, Collections and Topics in MDPI journals
Artificial intelligence is at our doorstep with machine learning services and applications incorporated in industrial, agricultural, energy, financial, healthcare, manufacturing, transportation, and logistic systems. These technological capabilities bring about tremendous world changes, boosting the economy, increasing productivity, and providing new opportunities. Moreover, all applications now rely heavily on data. As a result, information has become an essential commodity. Furthermore, the development of artificial intelligence and deep learning models with the ever-increasing human–machine interactions in everyday applications is a crucial aspect of the next Industrial Revolution.
The rapid deployment of the Internet of Things (IoT) and the integration of cloud big data concentrations lead to the ever-increasing engagement of information, which requires training in new intelligent algorithms, protocols, and processes. The growth of AI with the incorporation of machine learning and deep learning in engineering applications has enabled developers to create machines that can carry out complex manufacturing tasks. The ultimate goal is to develop systems that can learn and improve without human intervention.
Many engineering systems and applications will benefit from such unsupervised intelligent processes. In addition, natural language processing capabilities and the extensive exploitation of neural networks will provide new human–machine interactions for robotics, agriculture, process and manufacturing, and the transportation industry, while further promoting the extensive use of augmented, virtual, and mixed reality applications.
This Special Issue aims to emerge new distributed or cloud-based engineering applications, which involve smart algorithms and services targeting holistic, innovative, and sustainable systems. We encourage contributors to publish their work related to 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):
- Machine learning and deep learning algorithm services, and processes for logistic, manufacturing, industrial, and safety applications;
- Smart cities and smart home automation services and applications;
- Smart transportation systems and services;
- Smart medical systems and services;
- Smart agricultural decision support systems and services;
- Human–machine interactive and cognitive services;
- Augmented reality, virtual reality, and mixed reality systems, services, and applications;
- Internet of Things, smart algorithms, provided as services over distributed and cloud-based decision support systems;
- Design, evaluation, and implementation of novel Internet of Things solutions incorporating machine learning, deep learning, and data mining logic.
We look forward to receiving your contributions.
Dr. Sotirios Kontogiannis
Dr. Myrto Konstantinidou
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. Algorithms 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 1600 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.
- intelligent information systems
- intelligent engineering applications
- machine learning and deep learning algorithms and applications
- distributed information systems
- Industry 5.0
- cloud-based decision support systems and services
- machine learning and deep learning services and applications