Results 21 to 30 of about 779 (142)
Energies, 2021 Recently, the spread of smart metering infrastructures has enabled the easier collection of building-related data. It has been proven that a proper analysis of such data can bring significant benefits for the characterization of building performance and ...
Roberto Chiosa +2 more
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A Novel Trend Symbolic Aggregate Approximation for Time Series
CoRR, 2019 9 pages ...
Yufeng Yu 0003 +4 more
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Symbolic Aggregate approXimation (SAX) under interval uncertainty
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 In many practical situations, we monitor a system by continuously measuring the corresponding quantities, to make sure that any abnormal deviation is detected as early as possible. Often, we do not have readily available algorithms to detect abnormality, so we need to use machine learning techniques.
Stylios, Chrysostomos D. +1 more
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Packer Detection for Multi-Layer Executables Using Entropy Analysis
Entropy, 2017 Packing algorithms are broadly used to avoid anti-malware systems, and the proportion of packed malware has been growing rapidly. However, just a few studies have been conducted on detection various types of packing algorithms in a systemic way ...
Munkhbayar Bat-Erdene +3 more
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Human Activity Recognition Based on Symbolic Representation Algorithms for Inertial Sensors
Sensors, 2018 Mobile sensing has allowed the emergence of a variety of solutions related to the monitoring and recognition of human activities (HAR). Such solutions have been implemented in smartphones for the purpose of better understanding human behavior.
Wesllen Sousa Lima +3 more
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IEEE Access, 2019 This paper addresses a major utility and regulator concern of characterizing customer net electricity consumption profiles to realize integrated distribution system planning.
Michael Emmanuel, Julieta Giraldez
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Sensors, 2022 The phenomenon of big data has occurred in many fields of knowledge, one of which is astronomy. One example of a large dataset in astronomy is that of numerically integrated time series asteroid orbital elements from a time span of millions to billions ...
Lala Septem Riza +5 more
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Abridged Symbolic Representation of Time Series for Clustering
Acta Universitatis Lodziensis. Folia Oeconomica, 2019 In recent years a couple of methods aimed at time series symbolic representation have been introduced or developed. This activity is mainly justified by practical considerations such memory savings or fast data base searching.
Jerzy Korzeniewski
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Anomaly detection in ECG based on trend symbolic aggregate approximation
Mathematical Biosciences and Engineering, 2019 ECG anomaly detection is a necessary approach to detect disease Electrocardiography( ECG) signals before the detail diagnosis process in medical field to gauge the health of the human heart. Nowadays, there are many anomaly detection methods for ECG detection including supervised learning and unsupervised learning.
Chunkai Zhang +3 more
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Algorithms, 2018 In this work, we study the task of predicting the closing price of the following day of a stock, based on technical analysis, news articles and public opinions.
Foteini Kollintza-Kyriakoulia +2 more
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