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Emergent properties of microbial activity in heterogeneous soil microenvironments: Different research approaches are slowly converging, yet major challenges remain
(
Frontiers Media S.A.
, 2018 , Article Review)
Over the last 60 years, soil microbiologists have accumulated a wealth of experimental data showing that the bulk, macroscopic parameters (e.g., granulometry, pH, soil organic matter, and biomass contents) commonly used ...
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 ...
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 ...
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 ...
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 ...