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Publications associées (31)

Identification of Isomeric Biomolecules by Infrared Spectroscopy of Solvent-Tagged Ions

Oleg Boyarkine, Andrei Zviagin

The difference in functionality of many isomeric biomolecules requires their analytical identification for life science studies. We present a universal approach for quantitative identification of different small- to medium-sized isomeric biomolecules that ...

AMER CHEMICAL SOC2022

State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data

Mario Paolone, Michael Ingram, Panagiotis Papadopoulos

Nowadays, transmission system operators require higher degree of observability in real-time to gain situational awareness and improve the decision-making process to guarantee a safe and reliable operation. Digitalization of energy systems allows utilities ...

ELSEVIER SCI LTD2022

Frequency-domain data-driven position-dependent controller synthesis for Cartesian Robots

Alireza Karimi, Philippe Louis Schuchert

Cartesian robots have position-dependent dynamics that should be accounted for in high performance applications. Traditional methods design Linear Time Invariant (LTI) controllers which are robustly stable with respect to position variations, but require a ...

2023

Orthos: A Trustworthy AI Framework for Data Acquisition

Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos

Information acquisition through crowdsensing with mobile agents is a popular way to collect data, especially in the context of smart cities where the deployment of dedicated data collectors is expensive and ineffective. It requires efficient information el ...

Springer2021

Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Aditi Kothiyal

Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...

2021

Simultaneous 3D acquisition of H-1 MRF and Na-23 MRI

Tom Hilbert

Purpose To develop a 3D MR technique to simultaneously acquire proton multiparametric maps (T-1, T-2, and proton density) and sodium density weighted images over the whole brain. Methods We implemented a 3D stack-of-stars MR pulse sequence which consists o ...

WILEY2022

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

Tobias Kober, Bénédicte Marie Maréchal, Reto Meuli, Jonas Richiardi, Mario Joao Fartaria de Oliveira

The translational potential of MR-based connectivity modelling is limited by the need for advanced diffusion imaging, which is not part of clinical protocols for many diseases. In addition, where diffusion data is available, brain connectivity analyses rel ...

2021

Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning

Dario Floreano, Amy Roning Wu, Vivek Ramachandran, Fabian Maximilian Schilling

People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, existing interfaces are often bulky and do not always ensure post-training skill ...

2021

Megapixel per second hardware efficient LiDAR based on microcombs

Tobias Kippenberg, Junqiu Liu, Maxim Karpov, Anton Lukashchuk

We show a novel architecture for massively parallel FMCW LiDAR based on multiheterodyne mixing of two triangular chirped soliton microcombs generated in integrated Si3N4 microresonators using a single laser source and a single coherent receiver. We demonst ...

IEEE2021

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Volkan Cevher, Stéphanie Lacour, Catherine Dehollain, Cosimo Aprile, Alix Esther Anne Trouillet, Yusuf Leblebici, Kerim Türe, Florian Dylan Fallegger, Arda Uran

Wireless implantable neural recording chips enable multichannel data acquisition with high spatiotemporal resolution in situ. Recently, the use of machine learning approaches on neural data for diagnosis and prosthesis control have renewed the interest in ...

2021

Simultaneous Reciprocal and Real Space X-Ray Imaging of Time-Evolving Systems

Goran Lovric, Marco Stampanoni

Imaging the (sub)micron scale over large areas with high temporal resolution becomes increasingly necessary for the development and investigation of novel materials under realistic operation conditions. Small angle x-ray scattering imaging methods provide ...

American Physical Society (APS)2021

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