Announcements

Issue 8 - AI-driven Solutions for Sustainable Environment Monitoring

2023-08-21

Artificial intelligence (AI) is poised to significantly impact every facet of human life in the coming years. Already, it stands at the forefront of driving groundbreaking technologies like Big Data, robotics, and the Internet of Things (IoT). As we look ahead, AI is projected to maintain its status as a prominent technological innovator for the foreseeable future.

Deadline of submission is 15.11.2023

Read more about Issue 8 - AI-driven Solutions for Sustainable Environment Monitoring

Current Issue

Vol. 10 No. 8 (2023): AI-driven Solutions for Sustainable Environment Monitoring
					View Vol. 10 No. 8 (2023): AI-driven Solutions for Sustainable Environment Monitoring

Artificial intelligence (AI) is poised to significantly impact every facet of human life in the coming years. Already, it stands at the forefront of driving groundbreaking technologies like Big Data, robotics, and the Internet of Things (IoT). As we look ahead, AI is projected to maintain its status as a prominent technological innovator for the foreseeable future. Presently, AI is revolutionizing the world's leading scientific communities and industries, bringing about transformative advancements and reshaping the way weapproach complex challenges. The pervasive influence of AI is set to shape a new era of possibilities, making it a central force in shaping the world's technological landscape. The challenges posed by climate change, pollution, and diminishing natural resources have highlighted the urgency to adopt more efficient and effective methods for monitoring and preserving our environment. In this pursuit, artificial intelligence (AI) has emerged as a game-changer, offering innovative solutions to enhance sustainable environment monitoring. By harnessing the power of AI-driven technologies, we have witnessed a remarkable transformation in data analysis, pattern recognition, and predictive modeling. These advancements have substantially improved the accuracy, scalability, and real-time capabilities of environmental monitoring systems, enabling us to make more informed decisions and take proactive measures to safeguard our ecosystems. In this paper, we delve into the crucial role of AI in sustainable environment monitoring and how its continued evolution is paving the way for a more resilient and sustainable future.

Published: 2023-08-21
View All Issues

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.

Logo ESS

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