Statistical Features of Foreshocks in Instrumental and ETAS Catalogs
Sign Up to like & getrecommendations! Published in 2017 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-017-1502-5
Abstract: We study the spatial distribution of earthquakes in temporal intervals before and after the occurrence of large shocks (mainshocks) in the magnitude range $$m \in [2,5]$$m∈[2,5] for four different regional catalogs. We find that the… read more here.
Keywords: instrumental etas; features foreshocks; foreshocks instrumental; statistical features ... See more keywords
Recognition of steam jet condensation regime in water pipe flow system by statistical features of pressure oscillation
Sign Up to like & getrecommendations! Published in 2017 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2017.02.024
Abstract: Abstract Recognition of unstable and harmful condensation regimes in liquid pipe flow system can promote a higher level of flow assurance in liquid propellant rocket engine. However, challenges are encountered in extracting distinguishable characteristics from… read more here.
Keywords: pressure oscillation; statistical features; condensation; features pressure ... See more keywords
A comprehensive evaluation of the effect of defect size in rolling element bearings on the statistical features of the vibration signal
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107334
Abstract: Abstract A defective rolling element bearing produces a specific vibration pattern that can be used as a diagnostic tool in predictive maintenance. Defect growth from an incipient fault to a fully developed fault alters the… read more here.
Keywords: defect size; statistical features; rolling element; element bearings ... See more keywords
Electric torque for fault severity diagnosis in gearbox-type load: ML approaches based on Poincaré plot and statistical features
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-23845-8
Abstract: Mechanical vibration is one of the most used signals for traditional condition monitoring in rotating machines due to its sensitivity to mechanical vibrations; however, its deployment in industrial facilities is often hampered by significant cost… read more here.
Keywords: electric torque; statistical features; load; poincar plot ... See more keywords
VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz689
Abstract: SUMMARY Many efforts have been made in developing bioinformatics algorithms to predict functional attributes of genes and proteins from their primary sequences. One challenge in this process is to intuitively analyze and to understand the… read more here.
Keywords: visfeature; alone program; stand alone; program visualizing ... See more keywords
A Reversible Steganography Method With Statistical Features Maintained Based on the Difference Value
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964830
Abstract: Reversible data hiding (RDH) is a technique that slightly alters digital media (e.g. images or videos) to embed secret messages while the original digital media can be completely recovered without any error after the hidden… read more here.
Keywords: statistical features; difference value; based difference; difference values ... See more keywords
Linguistic Steganalysis Merging Semantic and Statistical Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3212630
Abstract: With the rapid development of Natural Language Processing (NLP), more and more linguistic steganography methods have appeared in recent years, which may bring great challenges to the protection of cyberspace security. Due to the powerful… read more here.
Keywords: semantic statistical; dnn based; statistical features; steganalysis ... See more keywords
Tropical Cyclogenesis Detection From Remotely Sensed Sea Surface Winds Using Graphical and Statistical Features-Based Broad Learning System
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3266814
Abstract: This article proposed a graphical and statistical features-based broad learning system (GSF-BLS) to detect tropical cyclogenesis with the cross-calibrated multiplatform version 2.0 (CCMP V2.0) wind products. The framework of the proposed model is composed of… read more here.
Keywords: learning system; statistical features; learning; tropical cyclogenesis ... See more keywords
Natural Language Statistical Features of LSTM-Generated Texts
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2890970
Abstract: Long short-term memory (LSTM) networks have recently shown remarkable performance in several tasks that are dealing with natural language generation, such as image captioning or poetry composition. Yet, only few works have analyzed text generated… read more here.
Keywords: statistical features; language statistical; natural language; lstm generated ... See more keywords
Violence Detection in Video Using Statistical Features of the Optical Flow and 2D Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2025 at "Computational Intelligence"
DOI: 10.1111/coin.70034
Abstract: The rapid growth of video data has resulted in an increasing need for surveillance and violence detection systems. Although such events occur less frequently than normal activities, developing automated video surveillance systems for violence detection… read more here.
Keywords: violence detection; optical flow; video; statistical features ... See more keywords
Unsupervised weathering identification of grottoes sandstone via statistical features of acoustic emission signals and graph neural network
Sign Up to like & getrecommendations! Published in 2024 at "Heritage Science"
DOI: 10.1186/s40494-024-01432-w
Abstract: Weathering features of sandstone heritage can be recognized by using artificial intelligence (AI) based surrogate models, and most models perform classification tasks for types based on precise labels. But there are lack of prior validated… read more here.
Keywords: gnn; statistical features; features acoustic; graph neural ... See more keywords