Results 51 to 60 of about 751,571 (292)

4D‐Printable Poly(Thio)urethane Photoresins With Reactive Oxygen Species Responsiveness and Anti‐Inflammatory Functionality

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces UV‐curable poly(thio)urethane (PSU) thermosets as 4D printable scaffolds responsive to oxidative stress. PSU networks with 100 wt.% polypropylene glycol (PPG) effectively suppress inflammatory markers in microglial cells to basal values.
Xabier Lopez de Pariza   +10 more
wiley   +1 more source

A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection

open access: yesIEEE Access, 2017
Data representation and similarity measurement are two basic aspects of similarity detection in time series data mining. In this paper, we present two novel approaches to perform similarity detection efficiently and effectively.
Miaomiao Zhang, Dechang Pi
doaj   +1 more source

Clustering Macroeconomic Time Series

open access: yes, 2017
The data mining technique of time series clustering is well established in many fields. However, as an unsupervised learning method, it requires making choices that are nontrivially influenced by the nature of the data involved.
Augustyński, Iwo   +1 more
core   +1 more source

Enhanced manufacturing storage management using data mining prediction techniques [PDF]

open access: yes, 2017
Performing an efficient storage management is a key issue for reducing costs in the manufacturing process. And the first step to accomplish this task is to have good estimations of the consumption of every storage component.
Aguayo-González, Francisco   +3 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Application of Ensemble Empirical Mode Decomposition based Support Vector Regression Model for Wind Power Prediction

open access: yesJurnal Teknik Industri, 2020
Improving accuracy of wind power prediction is important to maintain power system stability. However, wind power prediction is difficult due to randomness and high volatility characteristics.
Irene Karijadi, Ig. Jaka Mulyana
doaj   +1 more source

Towards optimal symbolization for time series comparisons [PDF]

open access: yes, 2013
The abundance and value of mining large time series data sets has long been acknowledged. Ubiquitous in fields ranging from astronomy, biology and web science the size and number of these datasets continues to increase, a situation exacerbated by the ...
Barrack, Duncan   +2 more
core   +1 more source

Polyimide‐Linked Hexaazatriphenylene‐Based Porous Organic Polymer with Multiple Redox‐Active Sites as a High‐Capacity Organic Cathode for Lithium‐Ion Batteries

open access: yesAdvanced Materials, EarlyView.
A high‐capacity polyimide‐linked porous organic polymer (HAT‐PTO) incorporating numerous redox‐active centers is synthesized via a hydrothermal reaction, delivering a high theoretical capacity of 484 mAh g−1. In situ hybridization with carboxyl‐functionalized multiwalled carbon nanotubes enhances conductivity and stability, achieving 397 mAh g−1 at C ...
Arindam Mal   +7 more
wiley   +1 more source

A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction

open access: yesJournal of ICT Research and Applications, 2017
Time series data available in huge amounts can be used in decision-making. Such time series data can be converted into information to be used for forecasting.
Neelam Mishra   +3 more
doaj   +1 more source

Spatiotemporal Data Mining Problems and Methods

open access: yesAnalytics, 2023
Many scientific fields show great interest in the extraction and processing of spatiotemporal data, such as medicine with an emphasis on epidemiology and neurology, geology, social sciences, meteorology, and a great interest is also observed in the study
Eleftheria Koutsaki   +2 more
doaj   +1 more source

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