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A robust deep learning approach for impulse noise filtering using hybrid auto-encoder with fuzzy median filter. [PDF]
PLoS OneNaeem M +6 more
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Ku2: A Novel Korean Purple-Green Tea Germplasm (<i>Camellia sinensis</i>) with Enhanced Polyphenols and Antioxidant Activity. [PDF]
Plants (Basel)Kwon YS +6 more
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Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography. [PDF]
Front Digit HealthKorsgaard E +7 more
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High-Throughput N-Glycan Analysis by IR-MALDESI With a 1.5-kHz Pulsed Mid-IR Laser. [PDF]
J Mass SpectromEisenberg SM +5 more
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Data augmentation in a triple transformer loop retrosynthesis model.
Digit DiscovGrandjean Y, Kreutter D, Reymond JL.
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A weighted feature enhanced Hidden Markov Model for spam SMS filtering
Neurocomputing, 2021Abstract Short message service (SMS) is a most favored communication service people use in daily life. However, this service is being misused by spammers. Rule based systems (RBS) and content based filtering (CBF) techniques have been developed to filter out spam messages.
Tian Xia, Xuemin Chen
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Spam SMS Filtering Using Support Vector Machines
2021In recent years, SMS spam messages are increasing exponentially due to the increase in mobile phone users. Also, there is a yearly increment in the volume of mobile phone spam. Filtering the spam message has become a key aspect. On the other side, machine learning has become an attractive research area and shown the capacity in data analysis.
P. Prasanna Bharathi +3 more
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