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Fault detection and severity identification of ball bearings by online condition monitoring
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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
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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 ...
Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks
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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 ...
Particle swarm clustering fitness evaluation with computational centroids
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Elsevier B.V.
, 2017 , Article)
In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ...
Progressive Operational Perceptrons
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Elsevier B.V.
, 2017 , Article)
There are well-known limitations and drawbacks on the performance and robustness of the feed-forward, fully-connected Artificial Neural Networks (ANNs), or the so-called Multi-Layer Perceptrons (MLPs). In this study we ...
Long-term epileptic EEG classification via 2D mapping and textural features
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Elsevier Ltd
, 2015 , Article)
Interpretation of long-term Electroencephalography (EEG) records is a tiresome task for clinicians. This paper presents an efficient, low cost and novel approach for patient-specific classification of long-term epileptic ...
K-Subspaces Quantization for Approximate Nearest Neighbor Search
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IEEE Computer Society
, 2016 , Article)
Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this ...
Spatiotemporal saliency estimation by spectral foreground detection
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Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
We present a novel approach for spatiotemporal saliency detection by optimizing a unified criterion of color contrast, motion contrast, appearance, and background cues. To this end, we first abstract the video by temporal ...
PyGOP: A Python library for Generalized Operational Perceptron algorithms
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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 ...
Benchmark database for fine-grained image classification of benthic macroinvertebrates
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Elsevier Ltd
, 2018 , Article)
Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and ...