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Review

2020

Review

2020

Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or… Expand

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Review

2020

Review

2020

Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand

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Review

2019

Review

2019

Recent research in inverse problems seeks to develop a mathematically coherent foundation for combining data-driven models, and… Expand

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Review

2019

Review

2019

The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments… Expand

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Review

2019

Review

2019

Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand

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Review

2019

Review

2019

With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand

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Review

2019

Review

2019

This paper provides an introduction and overview of recent work on control barrier functions and their use to verify and enforce… Expand

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Review

2019

Review

2019

Abstract In population-based optimization algorithms (POAs), given an optimization problem, the quality of the solutions depends… Expand

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Review

2019

Review

2019

We review probabilistic constellation shaping (PCS), which has been a key enabler for several recent record-setting optical fiber… Expand

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Review

2019

Review

2019

Single-photon detectors and nanoscale superconducting devices are two major candidates for realizing quantum technologies… Expand

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