Compressed sensing for radio interferometry: spread spectrum imaging techniques

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Despite extensive research efforts in the field of laser welding, the imperfect repeatability of the weld quality still represents an open topic. Indeed, the inherent complexity of the underlying physical phenomena prevents the implementation of an effecti ...

Immersive virtual reality (IVR) offers possibilities of creating a learner‐centric environment that can provide more presence and engagement for students leading to an enhanced learning experience compared to conventional classroom practices. However, the ...

The rapid development of digital imaging and video has placed visual contents in the heart of our lives. Digital multimedia span a vast number of areas from business to leisure, including but not limited to education, medicine, accessibility, training, adv ...

We present an overview and description of the e-MERGE Survey (e-MERLIN Galaxy Evolution Survey) Data Release 1 (DR1), a large program of high-resolution 1.5-GHz radio observations of the GOODS-N field comprising similar to 140 h of observations with enhanc ...

This thesis focuses on developing efficient algorithmic tools for processing large datasets. In many modern data analysis tasks, the sheer volume of available datasets far outstrips our abilities to process them. This scenario commonly arises in tasks incl ...

The advent of shared-economy and smartphones made on-demand transportation services possible, which created additional opportunities, but also more complexity to urban mobility. Companies that offer these services are called Transportation Network Companie ...

We investigate the benefits of known partial support for the recovery of joint-sparse signals and demonstrate that it is advantageous in terms of recovery performance for both rank-blind and rank-aware algorithms. We suggest extensions of several joint-spa ...

Towards the goal of improving acoustic modeling for automatic speech recognition (ASR), this work investigates the modeling of senone subspaces in deep neural network (DNN) posteriors using low-rank and sparse modeling approaches. While DNN posteriors are ...

Background With the recent approval of the first small interfering RNA (siRNA) therapeutic formulated as nanoparticles, there is increased incentive for establishing the factors of importance for the design of stable solid dosage forms of such complex nano ...

This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies that define a series of quality aspects for manually evaluating news. Based on ...

Increased use of solar collectors in buildings is necessary but poses major challenges in existing built environ ments, especially where architectural quality is an issue. The large size of solar systems at the building scale requires careful planning, as ...

Compressed sensing for radio interferometry: spread spectrum imaging techniques

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Adaptive Laser Welding Control: A Reinforcement Learning Approach

Using immersive virtual reality to support designing skills in vocational education

Image Compression and Quality Assessment using Convolutional Neural Networks

The e-MERGE Survey (e-MERLIN Galaxy Evolution Survey): overview and survey description

Fourier Sampling in Signal Processing and Numerical Linear Algebra

On the inefficiency of ride-sourcing services towards urban congestion

Joint Sparsity with Partially Known Support and Application to Ultrasound Imaging

Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

Identification of Factors of Importance for Spray Drying of Small Interfering RNA-Loaded Lipidoid-Polymer Hybrid Nanoparticles for Inhalation

SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators

Criteria and policies to master the visual impact of solar systems in urban environments: The LESO-QSV method