Concept
Observatoire de l'environnement
Publications associées (131)
Degradable and Printed Microstrip Line for Chipless Temperature and Humidity Sensing
Danick Briand, James Alec Pierce Bourely, Jaemin Kim, Xavier Aeby, Oleksandr Vorobyov
Research on chipless and passive architectures for environmental sensing is generating high interest because they do not require any semiconductor components or batteries to operate, thus resulting in an eco-friendlier footprint. This study demonstrates a ...
2024Electrochemical sensors modified with iron oxide nanoparticles/ nanocomposites for voltammetric detection of Pb (II) in water: A review
Permissible limits of Pb 2+ in drinking water are being reduced from 10 mu gL -1 to 5 mu gL -1 , which calls for rapid, and highly reliable detection techniques. Electrochemical sensors have garnered attention in detection of heavy metal ions in environmen ...
Cell Press2024Design and in vitro Characterization of a Wearable Multisensing System for Hydration Monitoring
Sandro Carrara, Ali Meimandi, Ata Jedari Golparvar, Sarah Tonello
Dehydration is a frequent condition in the elderly and can lead to serious health complications if not compensated timely. Early diagnosis can be problematic, as medical examinations in the hospital would be needed. Fully wearable low-cost multisensing dev ...
Ieee-Inst Electrical Electronics Engineers Inc2024Selection of informative monitoring techniques for bridge-performance evaluations
Eugen Brühwiler, Numa Joy Bertola
Decisions regarding the management of civil infrastructure are becoming more crucial as a large share of bridges is presently approaching what is often considered to be the end of their theoretical service duration. Evaluating existing structures using a d ...
Trinity College2023Heading for the Abyss: Control Strategies for Exploiting Swinging of a Descending Tethered Aerial Robot
Josephine Anna Eleanor Hughes, Max Mirko Polzin, Frank Centamori
The use of aerial vehicles for exploration and data collection has the potential to significantly aid environmental monitoring in environments which are dangerous and hard to navigate. However, within these environments navigation can often be restricted b ...
2023Meteor: Meta-learning connecting earth problems observed from space
Devis Tuia, Benjamin Alexander Kellenberger, Marc Conrad Russwurm
Satellite remote sensing has become a key technology for monitoring Earth and the processes occurring at its surface. It relies on state-of-the-art machine learning models that require large annotated datasets to capture the extreme diversity of the proble ...
2023Sensing the structural behavior: A perspective on the usefulness of monitoring information for bridge examination
Eugen Brühwiler, Numa Joy Bertola, Yves Sylvain Gilles Reuland
Managing existing civil infrastructure is challenging due to evolving functional requirements, material aging, and climate change. With increasingly limited economic, environmental, and material resources, more sustainable solutions for practical asset man ...
2023Surfactant Treatment for Efficient Gene Detection of Enteric Viruses and Indicators in Surface Water Concentrated by Ultrafiltration
The hollow fiber ultrafiltration (HFUF)-based microbial concentration method is widely applied for monitoring pathogenic viruses and microbial indicators in environmental water samples. However, the HFUF-based method can co-concentrate substances that inte ...
SPRINGER2023Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots
Alcherio Martinoli, Chiara Ercolani, Faezeh Rahbar
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring. Oftentimes, this involves detecting how certain gases are spread out in the environment, commonly refe ...
MDPI2023Spatially adaptive machine learning models for predicting water quality in Hong Kong
Rongrong Li, Qiaoli Wang, Yu Xu
Water quality prediction in the spatially heterogeneous environment is challenging as the importance of water quality parameters (WQPs) and the performance of prediction models may vary across space. Thus, this study proposed spatially adaptive machine lea ...
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