المؤلفون: Ferraro, Riccardo L., Grijalva, David, Trahan, Alex

المصدر: SMU Data Science Review

مصطلحات موضوعية: Consensus Motifs, Contextual Consensus Motifs, Consensus Motif, Motif, Time series motif, Time Series, Time-series, CNN, DNN, LSTM, Keras, multi-timeries, multiple timeseries, multiple time-series, multiple time series, aggregate, aggregation, insulin, ICR, ISF, BR, Basal Rate, Insulin Sensitivity Factor, Insulin Sensitivity, Insulin to Carbohydrate Ratio, Carbohydrate Ratio, contextual, window, fft, fast-fourier-transform

وصف الملف: application/pdf

Relation: https://scholar.smu.edu/datasciencereview/vol6/iss2/15; https://scholar.smu.edu/cgi/viewcontent.cgi?article=1220&context=datasciencereview

الاتاحة: https://scholar.smu.edu/datasciencereview/vol6/iss2/15
https://scholar.smu.edu/cgi/viewcontent.cgi?article=1220&context=datasciencereview

المؤلفون: Dau, Hoang Anh

مصطلحات موضوعية: Computer science, Dynamic Time Warping, Matrix Profile, public data sets, time series, time series motif, UCR Archive

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/8p81m3hz

المؤلفون: Scarpelli Drummond De Almeida, Marina

مصطلحات موضوعية: Acoustic ecology, soundscapes, soundscape ecology, remote sensing, time-series motif discovery, biodiversity assessment, scale of effect, landscape ecology, acoustic indices, ecological survey

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/238631/1/MarinaScarpelliDrummonddeAlmeida-thesis-march.pdf; Scarpelli Drummond De Almeida, Marina (2023) Multidimensional terrestrial ecoacoustics assessment. PhD by Publication, Queensland University of Technology.; https://eprints.qut.edu.au/238631/; Faculty of Science; School of Computer Science

الاتاحة: https://eprints.qut.edu.au/238631/

المؤلفون: Sun, L, He, Jinyuan, Ma, Jiangang, Dong, Hai, Zhang, Yanchun

مصطلحات موضوعية: 0801 Artificial Intelligence and Image Processing, Institute for Sustainable Industries and Liveable Cities, time series motif discovery, LiSAM, electrocardiogram, electrocardiography

Relation: https://vuir.vu.edu.au/39095/; Sun, L, He, Jinyuan, Ma, Jiangang, Dong, Hai and Zhang, Yanchun orcid:0000-0002-5094-5980 (2018) Limited-length suffix-array-based method for variable-length motif discovery in time series. Journal of Internet Technology, 19 (6). pp. 1841-1851. ISSN 1607-9264

الاتاحة: https://vuir.vu.edu.au/39095/
https://jit.ndhu.edu.tw/article/view/1804
https://doi.org/10.3966/160792642018111906020

المؤلفون: Patel, D., Hsu, W., Lee, M.L.

المساهمون: COMPUTER SCIENCE

المصدر: Scopus

مصطلحات موضوعية: Incremental mining, Pattern discovery, Time series motif

Relation: Patel, D.,Hsu, W.,Lee, M.L. (2013). Efficient mining of lag patterns in evolving time series. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8290 LNCS : 76-101. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-45269-7_4; http://scholarbank.nus.edu.sg/handle/10635/77848; NOT_IN_WOS

الاتاحة: http://scholarbank.nus.edu.sg/handle/10635/77848

المؤلفون: S. Padmavathi, E. Ramanujam

المصدر: Procedia Computer Science. :222-228

مصطلحات موضوعية: Multivariate statistics, Holter monitor, Heart disease, medicine.diagnostic_test, Cardiovascular, business.industry, Computer science, Feature extraction, Time Series Motif, Pattern recognition, medicine.disease, Naïve Bayes, Electrocardiogram, Naive Bayes classifier, medicine, General Earth and Planetary Sciences, Abnormal heart rhythms, Motif (music), Artificial intelligence, business, General Environmental Science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8696f910a75e8aa03dd7c2c9c79ca360