Current Issue
We invite researchers and practitioners to submit original contributions, including innovative ideas, ongoing research, technical reports, and novel scientific studies, for this special issue. The focus is on Artificial Intelligence in Action, highlighting cutting-edge applications, methodological advancements, and emerging research directions across diverse domains.
This issue emphasizes the transformative potential of AI to drive sustainable and advanced environmental solutions, such as climate modeling, resource management, energy efficiency, and ecosystem monitoring. Contributions that demonstrate how AI can optimize processes, enhance decision-making, and provide actionable insights for real-world challenges are particularly encouraged.
We seek submissions that explore AI’s role across multiple sectors, including healthcare, finance, education, manufacturing, transportation, and environmental systems. Topics of interest include, but are not limited to, AI-driven analytics, predictive modeling, adaptive learning, robotics, IoT integration, data quality, model robustness, explainability, ethical AI, and scalable solutions.
This special issue provides a platform for interdisciplinary collaboration, fostering the exchange of knowledge between academia and industry. By showcasing research that combines innovative AI methodologies with practical applications, the issue aims to advance understanding of AI’s impact and its potential to contribute to a resilient, efficient, and environmentally sustainable future.
The Journal of Embedded Selforganising Systems is an online, multi-media, academic journal that adheres to the highest standards of peer review and engages established and emerging scholars from anywhere in the world. The Journal of Embedded Selforganising Systems is an interdisciplinary journal that, while centered in computer engineering, is open and welcoming to contributions from the many disciplines and approaches that meet at the crossroads that is embedded system study.

This peer-reviewed journal aims to be a high quality scientific publication that will be of interest to researchers in all disciplines involved in embedded systems. The journal will be published electronically with free and open access via the internet. We aim for a fast review and publication process, so that papers could be published fast.
We take advantage of the greater exiblity and agility an e-journal can provide in comparison to the traditional print journal: Instead imitating the classical creation process of a journal with fix issuses we use the "sliding issue" model. Each issue of the Embedded Selforganising System Journal starts with an editorial that also serves as a kind of call contributions. Any contribution that is reviewed and accepted will be published as soon as the final version is received by the editorial board. In this way, an issue is "growing"until the editors decide to close it. With other words, you can already read articles while other articles are still in the process of preparation. In addition, there may exist other topic-specific issues in parallel.
ISSN: 1869-5213
