IEEE

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Abstract: Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep ...
IEEE

A Review on Machine Learning for EEG Signal Processing in Bioengineering

Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...
IEEE

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey

Abstract: The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI and ML ...
IEEE

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Abstract: Federated learning obtains a central model on the server by aggregating models trained locally on clients. As a result, federated learning does not require clients to upload their data to ...
IEEE

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Abstract: Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks. As speech signal contains ...
IEEE

Stability Analysis of Polynomial-Fuzzy-Model-Based Control Systems Using Switching Polynomial Lyapunov Function

Abstract: This paper investigates the stability problem of polynomial-fuzzy-model-based control system, which is formed by a polynomial fuzzy model and a polynomial fuzzy controller connected in a ...
IEEE

Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization

Abstract: This paper focuses on understanding the robustness of a supply network in the face of a disruption. We propose a decision support system for analyzing the robustness of supply chain networks ...
IEEE

Carbon Emission Flow From Generation to Demand: A Network-Based Model

Abstract: Clarification of the responsibility for carbon emission is fundamental in a carbon-constrained world. Existing statistical methods for carbon emission estimation usually attribute the ...
IEEE

A 14 Bit 1 GS/s RF Sampling Pipelined ADC With Background Calibration

Abstract: We discuss a 14 bit 1 GS/s RF sampling pipelined ADC that utilizes correlation-based background calibration to correct the inter-stage gain, settling and memory errors. To improve the ...
IEEE

Neural Adaptive Backstepping Control of a Robotic Manipulator With Prescribed Performance Constraint

Abstract: This paper presents an adaptive neural network (NN) control of a two-degree-of-freedom manipulator driven by an electrohydraulic actuator. To restrict the system output in a prescribed ...
IEEE

Research on a Camera-Based Microscopic Imaging System to Inspect the Surface Luminance of the Micro-LED Array

Abstract: A majority of luminance measurement systems are currently focused on measuring the total luminance of light-emitting diodes (LEDs). It has largely limit its application on micro-LEDs, which ...
IEEE

Event-Triggered State Estimation and Control for Networked Nonlinear Systems Under Dynamic Sparse Attacks

Abstract: In this article, we investigate the problem of event-triggered state estimation and tracking control for a class of nonlinear networked control systems subject to measurement disturbances ...