Results 71 to 80 of about 5,760,846 (200)
seabass-detection/seabass-detection v.01-alpha
, 2019 <p>Example code and images for paper Using Machine Vision to Estimate Fish Length from Images using Regional Convolutional Neural Networks in journal Methods in Ecology and Evolution.</p ...
seabass-detection
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Frontiers in Bioengineering and BiotechnologyProtein function prediction is crucial in several key areas such as bioinformatics and drug design. With the rapid progress of deep learning technology, applying protein language models has become a research focus.
Jia-Ying Chen +17 more
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Newborn EEG seizure detection using adaptive time-frequency signal processing [PDF]
, 2006 Dysfunction in the central nervous system of the neonate is often first identified through seizures. The diffculty in detecting clinical seizures, which involves the observation of physical manifestations characteristic to newborn seizure, has placed ...
Rankine, Luke
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Fault diagnosis of motor drives using stator current signal analysis based on dynamic time warping [PDF]
, 2013 Electrical motor stator current signals have been widely used to monitor the condition of induction machines and their downstream mechanical equipment. The key technique used for current signal analysis is based on Fourier transform (FT) to extract weak ...
Gu, Fengshou +6 more
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Fault detection in gears by vibratory analysis [PDF]
, 1991 This paper deals with signal processing techniques for non-destructive fault detection on gears . First we describe high resolution spectral analysis techniques, then an adaptive AR method is proposed for fault detection, in the end the sphericity ...
DROUICHE (K.) +2 more
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Detection of Power Increasing Jammers: Operational Considerations
In a recent paper, the authors proposed an optimum detection algorithm for noise like smart jammers that increase the transmitted power over the time.
Orlando, Danilo +4 more
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EurosurveillanceIntroduction Nuvaxovid became available in Australia from February 2022, a year after the first COVID-19 vaccines. This protein-based vaccine was an alternative for people who had had an adverse event to and/or were hesitant to receive an mRNA or ...
Jim P Buttery
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Journal of King Saud University: Computer and Information SciencesDue to its asymptotic optimality, the Rapidly-exploring Random Tree star (RRT*) algorithm is widely used for robotic operations in complex environments. However, the RRT* algorithm suffers from poor path quality, slow convergence, and unstable generation
Haidong Wang +3 more
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Wavelet Transformations in Signal Detection
IFAC Proceedings Volumes, 1988 It is pointed out that in the analysis of transient signals such as those encounters in speech, or in certain kinds of image processing, standard Fourier analysis is often non satisfactory because the basic functions of the Fourier analysis (sines, cosines, complex exponentials) extend over infinite time, whereas the signals to be analyzed are short ...
openaire +2 more sources
Biological Knowledge Graph-Enhanced Cancer State Prediction Network with Adjustable Connections
Big Data Mining and AnalyticsWith recent advances in oncology research, effectively utilizing patient genomic data to predict cancer status has become a significant challenge. Although previous deep learning methods based on biological knowledge have made progress, they still face ...
Yuhan Liu +4 more
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