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Publications associées (27)

Enhancing the Reliability of Dense LoRaWAN Networks With Multi-User Receivers

Andreas Peter Burg, Joachim Tobias Tapparel, Mathieu Pierre Xhonneux

LoRaWAN is a low-power wireless technology that provides long-range connectivity to battery-powered Internet of Things (IoT) devices. To minimize the energy consumption of the IoT nodes, LoRaWAN networks use for the uplink a pure non-slotted ALOHA multiple ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

The Impact of Collaborative Scheduling and Routing for Interconnected Logistics: A European Case Study

Michel Bierlaire, Shadi Sharif Azadeh, Mohammad Yousef Maknoon, Jianghang Chen

Interconnected logistics system can play an important role towards having a more sustainable green freight transport. Recently, after introducing the concept of Physical Internet (PI), researchers have started to explore the opportunities and challenges th ...

Springer, Cham2021

Transparent composite nano-fibre based multi-layer textile

Klaus Benedikt Schönenberger, Thierry Pelet

A composite multi-layer textile (1), comprising at least one nanofibre layer (11) with nanofibres with diameters below 100nm and one support layer (12) with microfibres with diameters below three microns, wherein the layers (11, 12) were produced by electr ...

2021

Bedload transport assessment on a physical model of a large river widening using ultrasonic Doppler velocity measurements

Giovanni De Cesare, Azin Amini, Jean-Noël Saugy

The 3rd correction of the Rhône River is the largest flood protection project in Switzerland so far. Covering a length of 162 km, it aims to protect some 100,000 people and prevent flood damages, which could raise up to 10 billion Swiss francs for major ev ...

ETH Zurich, Laboratory of Food Process Engineering2021

Subquadratic Overparameterization for Shallow Neural Networks

Armin Eftekhari, Volkan Cevher, Chaehwan Song, Thomas Michaelsen Pethick

Overparameterization refers to the important phenomenon where the width of a neural network is chosen such that learning algorithms can provably attain zero loss in nonconvex training. The existing theory establishes such global convergence using various i ...

2021

Structural Order of the Molecular Adlayer Impacts the Stability of Nanoparticle-on-Mirror Plasmonic Cavities

Christophe Marcel Georges Galland, Magalí Alejandra Lingenfelder, Sachin Suresh Verlekar, Fernando Pablo Cometto, Karla Banjac, Aqeel Ahmed

Immense field enhancement and nanoscale confinement of light are possible within nanoparticle-on-mirror (NPoM) plasmonic resonators, which enable novel optically activated physical and chemical phenomena and render these nanocavities greatly sensitive to m ...

AMER CHEMICAL SOC2021

On the Implementation Complexity of Digital Full-Duplex Self-Interference Cancellation

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen

In-band full-duplex systems promise to further increase the throughput of wireless systems, by simultaneously transmitting and receiving on the same frequency band. However, concurrent transmission generates a strong self-interference signal at the receive ...

IEEE2020

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