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Sensors for Smart Industry and Environment

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 284

Special Issue Editors


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Guest Editor
Data Intelligence Research Group, St. Pölten University of Applied Sciences, St. Pölten, Austria
Interests: IoT; sensor data management; semantic web; multimodal machine learning on sensor data; resilient and trustworthy AI

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Guest Editor
Sustain.RD, Instituto Politecnico de Setubal, Escola Superior de Tecnologia de Setúbal, Setubal, Portugal
Interests: ML-based virtual reality; explainable AI; personalization; sustainability; smart cities; human–computer interaction; ubiquitous computing

Special Issue Information

Dear Colleagues,

The focus of industry, research and even society as a whole is increasingly shifting from short-term economic interest towards sustainability. For example, the European Green Deal aims to boost the efficient use of resources by moving towards a clean, circular economy in order to stop climate change, revert biodiversity loss and reduce pollution. Therefore, measures need to be implemented in many areas, e.g., manufacturing, energy and mobility infrastructure, agriculture, and forestry, to name just a few. The adoption of digital technologies in these areas promises to be an accelerator. The guiding principle of the so-called twin transformation is that sustainability and digitalization complement each other.

This Special Issue is focused on new developments in the area of smart industry and environment through the use of sensor data, analytics and artificial intelligence (AI). It includes specific sensor technologies (e.g., electrochemical/odor sensors, hyper-/multispectral and satellite imaging), techniques and methods such as machine learning (ML), semantics/ontologies, digital twins, simulation, or virtual/augmented reality (VR/AR), as well as applications in industry (e.g., predictive maintenance, anomaly detection in SCADA networks), agriculture and forestry (e.g., plant health detection) or smart buildings/cities/regions (e.g., microclimate for health and well-being).

Dr. Torsten Priebe
Prof. Dr. Rui Neves Madeira
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. Sensors 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 2600 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

  • connectivity of IoT sensors, data collection from sensor systems
  • semantics/ontology-based integration of (multi-) sensor data
  • analytics, AI, (multimodal) machine learning on sensor data
  • simulation and visualization with VR/AR and digital twins
  • citizen science for sensor data in smart environments
  • applications in smart industry and critical infrastructure
  • applications in precision agriculture and forestry
  • applications in smart buildings, cities and regions
  • resilience, trustworthiness and explainability aspects
  • sustainability effects of sensor-based systems and AI

Published Papers

This special issue is now open for submission.
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