Results 61 to 70 of about 36,481,271 (303)

Multiscale Average Absolute Difference (MSAAD): A Computationally Efficient and Nonparametric Adaptation of Line Length for Noisy, Uncontrolled Wearables Time Series

Algorithms
With the rise in physiological data sampled from wearable devices, efficient methods must be developed to encode temporal information for the comparison of time series arising from uncontrolled monitoring.
Jamison H. Burks, Wendy Hartogensis, Stephan Dilchert, Ashley E. Mason, Benjamin L. Smarr   +4 more
doaj   +1 more source

A New Class of Attacks on Time Series Data Mining [PDF]

, 2010
Traditional research on preserving privacy in data mining focuses on time-invariant privacy issues. With the emergence of time series data mining, traditional snapshot-based privacy issues need to be extended to be multi-dimensional with the addition of ...
Fu, Huirong, Zhu, Ye, Fu, Yongjian
core   +1 more source

A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions

Advanced Materials, EarlyView.
It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz, A. Bandyopadhyay, S. Belkin, S. Bose, N. Eliaz, J. L. Gilbert, T. C. Lowe, F. Mücklich, R. J. Turner, C. C. Tasan   +9 more
wiley   +1 more source

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

Advanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan, Thomas D. Small, Gregory F. Metha, Mahmoud Adel Hamza, Thomas J. O'Dea, Yideng Shen, Cameron J. Shearer   +6 more
wiley   +1 more source

From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories

IEEE Access
Artificial Intelligence (AI) is a transformative force driving innovation, yet tracking AI-related advancements remains challenging due to the rapid pace of development and unstructured data from platforms like GitHub.
Inna Novalija, Dumitru Roman, Federico Belotti, Vladimir Alexiev, Luis Rei, Roberto Avogadro, Babak Khalilvandian, Boyan Bechev, Catalina Alexandra Chinie, Iulia Ciurea, Janez Brank, Cosmin Udroiu, Ahmet Soylu, Matteo Palmonari   +13 more
doaj   +1 more source

All-chain Sets Mining Algorithm for Multi-scale Nearest Time Series [PDF]

Jisuanji kexue
Mining all-chain set in the time series is an emerging area.To the best of our knowledge,no method has been proposed to mining all-chain sets over multi-scale nearest time series.In this paper,the problem of mining all-chain sets over multi-scale nearest
WANG Shaopeng, FENG Chunkai
doaj   +1 more source

Visual Mining of Spatial Time Series Data [PDF]

, 2004
CommonGIS is a system comprising a number of tools for visual data analysis. In this paper we demonstrate our recent developments for analysis of spatial time series data.
Gennady L. Andrienko, Natalia V. Andrienko, Peter Gatalsky   +2 more
openaire   +2 more sources

Estimation of missing data in a geophysical series of precipitation

, 2021
The analysis of dynamic systems is a topic of great interest in the basic sciences since it allows direct inference of the behavior of different systems. The study of physical phenomena provides large databases that, if recorded at regular time intervals,
GALLARDO PÉREZ, HENRY DE JESÚS, Vergel Ortega, Mawency, Rojas Suárez, Jhan Piero, H J Gallardo Pérez, J P Rojas Suárez, M Vergel Ortega   +5 more
core   +1 more source

Characterized Ecoflex Polydimethylsiloxane (PDMS) Hybrids for Advanced Flexible Devices

Advanced Materials Technologies, EarlyView.
Ecoflex–PDMS hybrids are systematically characterized to identify an optimal composition that balances stretchability, optical transparency, and plasma bonding, enabling multifunctional applications in stretchable microfluidics, flexible sensing, and soft robotics.
Xiaoyue Kang, Zhefan Chen, Zhiyang Hong, Wanting Chen, Qingtian Zhang, Amith Mudugamuwa, Tuan‐Khoa Nguyen, Lingxi Ouyang, Nam‐Trung Nguyen, Jun Zhang, Dan Yuan   +10 more
wiley   +1 more source

Power Transformer Failure Prediction: Classification in Imbalanced Time Series

U.Porto Journal of Engineering, 2017
This paper describes a study on applying data mining techniques to power transformer failure prediction. The data set used consisted not only on DGA tests, but also in other tests done to the transformer’s insulating oil.
Eduardo e Oliveira, Vera L. Miguéis, Luís Guimarães, José Borges   +3 more
doaj   +1 more source