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

AdaBalGAN: An Improved Generative Adversarial Network With Imbalanced Learning for Wafer Defective Pattern Recognition

Abstract: Identification of the defective patterns of the wafer maps can provide insights for the quality control in the semiconductor wafer fabrication systems (SWFSs). In real SWFSs, the collected ...
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

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

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

Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic

Abstract: In practice, an increased interest into end-to-end visibility as a future-oriented driver and capability of resilient supply chains can be observed. However, the research in this area is in ...
IEEE

A Wideband Frequency Tunable Optoelectronic Oscillator Incorporating a Tunable Microwave Photonic Filter Based on Phase-Modulation to Intensity-Modulation Conversion Using a ...

Abstract: An optically tunable optoelectronic oscillator (OEO) with a wide frequency tunable range incorporating a tunable microwave photonic filter implemented based on phase-modulation to ...
IEEE

Resilient Cooperative Output Regulation for Nonlinear Multiagent Systems Under DoS Attacks

Abstract: The resilient cooperative output regulation problem for a class of uncertain nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks is addressed in this article. This is ...
IEEE

Fuzzy Adaptive Fault-Tolerant Stability Control Against Novel Actuator Faults and Its Application to Mechanical Systems

Abstract: This article studies the stability control problem of uncertain nonlinear systems with unknown multiple classes of actuator faults. We investigate not only traditional actuator gain and bias ...
IEEE

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Abstract: U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical imaging community and have ...
IEEE

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

Abstract: Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis is very significant and can avoid some categories of skin cancers, such as melanoma and ...