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Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph
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Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Data clustering is a fundamental machine learning problem. Community structure is common in social and biological networks. In this article we propose a novel data clustering algorithm that uses this phenomenon in mutual ...
A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier
(
Springer New York LLC
, 2019 , Article)
Timely and accurate bearing fault detection and diagnosis is important for reliable and safe operation of industrial systems. In this study, performance of a generic real-time induction bearing fault diagnosis system ...
Fault detection and severity identification of ball bearings by online condition monitoring
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
This paper presents a fast, accurate, and simple systematic approach for online condition monitoring and severity identification of ball bearings. This approach utilizes compact one-dimensional (1-D) convolutional neural ...
Feature synthesis for image classification and retrieval via one-against-all perceptrons
(
Springer London
, 2018 , Article)
Most existing content-based image retrieval and classification systems rely on low-level features which are automatically extracted from images. However, often these features lack the discrimination power needed for accurate ...
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons
(
IEEE Computer Society
, 2019 , Conference Paper)
Face verification is a prominent biometric technique for identity authentication that has been used extensively in several security applications. In practice, face verification is often performed along with other visual ...
Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Automated early detection and identification of switch faults are essential in high-voltage applications. Modular multilevel converter (MMC) is a new and promising topology for such applications. MMC is composed of many ...
PyGOP: A Python library for Generalized Operational Perceptron algorithms
(
Elsevier B.V.
, 2019 , Article)
PyGOP provides a reference implementation of existing algorithms using Generalized Operational Perceptron (GOP), a recently proposed artificial neuron model. The implementation adopts a user-friendly interface while allowing ...
1-D Convolutional Neural Networks for Signal Processing Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ...
Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings
(
IEEE Computer Society
, 2018 , Conference Paper)
Phonocardiogram (PCG) conveys crucial information for cardiac health evaluation in ambulatory care and is an essential diagnostic test for heart assessment. Thus, identification and positioning of the first and second heart ...
Acceleration Approaches for Big Data Analysis
(
IEEE Computer Society
, 2018 , Conference Paper)
The massive size of data that needs to be processed by Machine Learning models nowadays sets new challenges related to their computational complexity and memory footprint. These challenges span all processing steps involved ...