Results 41 to 50 of about 751,571 (292)
DATA MINING WORKSPACE AS AN OPTIMIZATION PREDICTION TECHNIQUE FOR SOLVING TRANSPORT PROBLEMS [PDF]
Transport Problems, 2016 This article addresses the study related to forecasting with an actual high-speed decision making under careful modelling of time series data. The study uses data-mining modelling for algorithmic optimization of transport goals. Our finding brings to the
Anastasiia KUPTCOVA +3 more
doaj +1 more source
Evaluating the Privacy and Utility of Time-Series Data Perturbation Algorithms
Mathematics, 2023 Data collected from sensor-rich systems may reveal user-related patterns that represent private information. Sensitive patterns from time-series data can be protected using diverse perturbation methods; however, choosing the method that provides the ...
Adrian-Silviu Roman
doaj +1 more source
Time Series Data Mining Algorithms for Identifying Short RNA in Arabidopsis thaliana [PDF]
, 2007 The class of molecules called short RNAs (sRNAs) are known to play a key role in gene regulation. Th are typically sequences of nucleotides between 21-25 nucleotides in length. They are known to play a key role in gene regulation.
Bagnall, Anthony +2 more
core
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning
, 2018 Although aviation accidents are rare, safety incidents occur more frequently and require a careful analysis to detect and mitigate risks in a timely manner.
Avila Garcez A. S. +5 more
core +1 more source
Optimizing Dynamic Time Warping’s Window Width for Time Series Data Mining Applications [PDF]
, 2018 Dynamic Time Warping (DTW) is a highly competitive distance measure for most time series data mining problems. Obtaining the best performance from DTW requires setting its only parameter, the maximum amount of warping (w).
Bagnall, Anthony +6 more
core +4 more sources
Advanced Functional Materials, EarlyView.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Time-series prediction of shellfish farm closure: A comparison of alternatives
Information Processing in Agriculture, 2014 Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments.
Ashfaqur Rahman +5 more
doaj +1 more source
Time series forecasting in the artificial intelligence milieu
Journal of Economic and Financial Sciences, 2022 No abstract available.
Ilse Botha
doaj +1 more source
Multivariate time series classification with temporal abstractions [PDF]
, 2009 The increase in the number of complex temporal datasets collected today has prompted the development of methods that extend classical machine learning and data mining methods to time-series data.
Batal, L +3 more
core +1 more source