IEEE

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

Abstract: The existing intelligent fault diagnosis methods of rotor-bearing system mainly focus on vibration analysis under steady operation, which has low adaptability to new scenes. In this article, ...
IEEE

FINet: An Insulator Dataset and Detection Benchmark Based on Synthetic Fog and Improved YOLOv5

Abstract: The inspection of insulators and their defects is of great significance for ensuring the safety and stability of power system. Small sample is one of the main issues of insulator defect ...
IEEE

A Systematic Review of the DeLone and McLean Model of Information Systems Success in an E-Learning Context (2010–2020)

Abstract: The DeLone and McLean (D&M) information systems (IS) success model seeks to provide a comprehensive understanding of IS success by identifying and explaining the relationships among their ...
IEEE

Reduced Switching-Frequency Modulation and Circulating Current Suppression for Modular Multilevel Converters

Abstract: This paper describes a modified phase-shifted carrier-based pulsewidth-modulation (PSC-PWM) scheme for modular multilevel converters (MMC). In order to reduce the average device switching ...
IEEE

From Assistive Technologies to Metaverse—Technologies in Inclusive Higher Education for Students With Specific Learning Difficulties: A Review

Abstract: The development of new technologies and their expanding use in a wide range of educational environments are driving the transformation of higher education. Assistive technologies are cutting ...
IEEE

Harmonic Instability Assessment Using State-Space Modeling and Participation Analysis in Inverter-Fed Power Systems

Abstract: This paper presents a harmonic instability analysis method using state-space modeling and participation analysis in the inverter-fed ac power systems. A full-order state-space model for the ...
IEEE

Unscented filtering and nonlinear estimation

The extended Kalman filter (EKF) is probably the most widely used estimation algorithm for nonlinear systems. However, more than 35 years of experience in the estimation community has shown that is ...
IEEE

Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing

Abstract: Knowledge tracing is an important research topic in student modeling. The aim is to model a student’s knowledge state by mining a large number of exercise records. The dynamic key-value ...
IEEE

Information Retrieval: Recent Advances and Beyond

Abstract: This paper provides an extensive and thorough overview of the models and techniques utilized in the first and second stages of the typical information retrieval processing chain. Our ...
IEEE

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Abstract: Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The existing RUL prediction ...
IEEE

Improved Sigma Filter for Speckle Filtering of SAR Imagery

Abstract: The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma probability, and it was reasonably effective in speckle filtering. However, deficiencies were discovered ...
IEEE

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used extensively in ...