Broadband Uniform Wavelength Conversion and Time Compression of WDM Channels

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The use of meteorological radars to study snowfall microphysical properties and processes is well established, in particular via a few distinct techniques: the use of radar polarimetry, of multi-frequency radar measurements, and of the radar Doppler spectr ...

Silicon Nitride (Si3N4) photonic integrated circuits (PICs) have emerged as core technology in a variety of applications ranging from LIDAR to quantum control and computing. However, the need for high-speed, low-voltage tuning and modulation has been a lon ...

Positron emission tomography is a nuclear imaging technique well known for its use in oncology for cancer diagnosis and staging. A PET scanner is a complex machine which comprises photodetectors placed in a ring configuration that detect gamma photons gen ...

A new electrically driven gas booster is described as an alternative to the classical air-driven gas boosters known for their poor energetic efficiency. These boosters are used in small scale Hydrogen storage facilities and in refueling stations for Hydrog ...

Access to metal-organic frameworks (MOFs) with enhanced me-chanical stability is key to their successful deployment in practical applications. However, the high porosity of the material often af-fects mechanical stability. In this article, to achieve highl ...

The occurrence of manufacturing defects in wind turbine blade (WTB) production can result in significant increases in operation and maintenance costs of WTBs, reduce capacity factors of wind farms, and occasionally lead to severe and disastrous consequence ...

Optical resonators enable the generation, manipulation, and storage of electromagnetic waves. The physics underlying their operation is determined by the interference of electromagnetic waves, giving rise to the resonance spectrum. This mechanism causes th ...

The use of point clouds to digitally represent three-dimensional objects with both geometry and color attributes is rapidly increasing in several applications. Since storage and transmission of uncompressed point cloud data are often impractical, several l ...

Due to the increasing number of pictures captured and stored every day by and on digital devices, lossy image compression has become inevitable to limit the needed storage requirement. As a consequence, these compression methods might introduce some visual ...

Scattering wave systems that are periodically modulated in time offer many new degrees of freedom to control waves in both the spatial and frequency domains. Such systems, albeit linear, do not conserve frequency and require the adaptation of the usual the ...

Commitment is a key primitive which resides at the heart of several cryptographic protocols. Noisy channels can help realize information-theoretically secure commitment schemes; however, their imprecise statistical characterization can severely impair such ...

Despite the increasing understanding of bentonite behaviour, there is still missing evidence on how different hydro-mechanical loadings, including sequences of hydration and compression, affect the fabric and the volume change behaviour of the material. It ...

Codebook-based optimizations are a class of algorithmic-level transformations able to effectively reduce the computing and memory requirements of Convolutional Neural Networks (CNNs). This approach tightly limits the number of unique weights in each layer, ...

We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model updates in orde ...

The growing adoption of point clouds as an imaging modality has stimulated the search for efficient solutions for compression. Learning-based algorithms have been reporting increasingly better performance and are drawing the attention from the research com ...

Broadband Uniform Wavelength Conversion and Time Compression of WDM Channels

Chattez avec Graph Search

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Programmable Silicon Nitride Photonic Integrated Circuits

Integrated electronics for time-of-flight positron emission tomography photodetectors

Increasing the Energy Efficiency of Gas Boosters for Hydrogen Storage and for Refueling Stations

Reticular chemistry for the rational design of mechanically robust mesoporous merged-net metal-organic frameworks

Complex-Valued-Autoencoder for Structural Health Monitoring with Frequency Modulated Continuous Wave Radar

Resonators with tailored optical path by cascaded-mode conversions

Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics

Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding

Scattering from Time-Modulated Transmission-Line Loads: Theory and Experiments in Acoustics

On the (Im)possibility of Commitment over Gaussian Unfair Noisy Channels

Volume change response and fabric evolution of granular MX80 bentonite along different hydro-mechanical stress paths

An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs

Stochastic distributed learning with gradient quantization and double-variance reduction

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression