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Now showing items 11-20 of 24
Progressive Operational Perceptrons
(
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 ...
Automatic Sleep Arousal Detection Using State Distance Analysis in Phase Space
(
IEEE Computer Society
, 2018 , Conference Paper)
Defective sleep arousal can contribute to significant sleep-related injuries and affect the quality of life. Investigating the arousal process is a challenging task as most of such events may be associated with subtle ...
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 ...
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 ...
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 ...
Maximum achievable throughput and interference mitigation for SUN in coexistence with WLAN
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Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
An optimum packet length selection scheme to maximize the throughput of a smart utility network (SUN) is introduced under wireless local area network (WLAN) interference system. The traditional and the investigated segmented ...
Benchmark database for fine-grained image classification of benthic macroinvertebrates
(
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 ...
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 ...
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 ...
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
(
Springer Verlag
, 2017 , Conference Paper)
In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ...