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08/30/2022
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models
Linear mixed-effects models are widely used in analyzing repeated measur...
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05/18/2022
AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider
The Electron-Ion Collider (EIC) is a cutting-edge accelerator facility t...
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01/03/2022
Deterministic Service Function Chaining over Beyond 5G Edge Fabric
Along with the increasing demand for latencysensitive services and appli...
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11/03/2021
Roadmap on Signal Processing for Next Generation Measurement Systems
Signal processing is a fundamental component of almost any sensor-enable...
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07/07/2021
An Overview on the Application of Graph Neural Networks in Wireless Networks
With the rapid enhancement of computer computing power, deep learning me...
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02/21/2021
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding
Hyperbolic geometry has been successfully applied in modeling brain cort...
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04/16/2020
Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training
Purpose: To use a deep neural network (DNN) for solving the optimization...
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10/25/2018