Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Practical approach to asynchronous multivariate time series anomaly detection and localization
A Abdulaal, Z Liu, T Lancewicki - Proceedings of the 27th ACM SIGKDD …, 2021 - dl.acm.org
Engineers at eBay utilize robust methods in monitoring IT system signals for anomalies.
However, the growing scale of signals, both in volumes and dimensions, overpowers …
However, the growing scale of signals, both in volumes and dimensions, overpowers …
Robust multisensor time–frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas
This paper presents high-resolution multisensor time–frequency distributions (MTFDs) and
their applications to the analysis of multichannel non-stationary signals. The approach …
their applications to the analysis of multichannel non-stationary signals. The approach …
Time-frequency based phase-amplitude coupling measure for neuronal oscillations
Oscillatory activity in the brain has been associated with a wide variety of cognitive
processes including decision making, feedback processing, and working memory. The high …
processes including decision making, feedback processing, and working memory. The high …
Time-frequency processing of nonstationary signals: Advanced TFD design to aid diagnosis with highlights from medical applications
This article presents a methodical approach for improving quadratic time-frequency
distribution (QTFD) methods by designing adapted time-frequency (TF) kernels for diagnosis …
distribution (QTFD) methods by designing adapted time-frequency (TF) kernels for diagnosis …
Inferring functional neural connectivity with phase synchronization analysis: a review of methodology
Functional neural connectivity is drawing increasing attention in neuroscience research. To
infer functional connectivity from observed neural signals, various methods have been …
infer functional connectivity from observed neural signals, various methods have been …
A tensor decomposition-based approach for detecting dynamic network states from EEG
Functional connectivity (FC), defined as the statistical dependency between distinct brain
regions, has been an important tool in understanding cognitive brain processes. Most of the …
regions, has been an important tool in understanding cognitive brain processes. Most of the …
Condition assessment of I&C cables in nuclear power plants via stepped-frequency waveform reflectometry
A nuclear power plant (NPP) depends on instrumentation and control (I&C) systems to
ensure its safe and efficient operation. In particular, I&C cables take on the pivotal role of …
ensure its safe and efficient operation. In particular, I&C cables take on the pivotal role of …
Detection of epileptic dysfunctions in EEG signals using Hilbert vibration decomposition
AY Mutlu - Biomedical Signal Processing and Control, 2018 - Elsevier
Epilepsy is a neurological brain dysfunction that is manifested by recrudescent seizures.
Due to high temporal resolution, brain activities recorded by electroencephalography (EEG) …
Due to high temporal resolution, brain activities recorded by electroencephalography (EEG) …
Recursive tensor subspace tracking for dynamic brain network analysis
Recent years have seen a rapid growth in computational methods for a better understanding
of functional connectivity brain networks constructed from neuroimaging data. Most of the …
of functional connectivity brain networks constructed from neuroimaging data. Most of the …
A weighted small world network measure for assessing functional connectivity
There is a growing need to develop measures that can characterize complex patterns of
functional connectivity among brain regions. Graph theoretic measures have emerged as an …
functional connectivity among brain regions. Graph theoretic measures have emerged as an …