Zobrazeno 1 - 10
of 12 851
pro vyhledávání: '"dynamic time"'
Autor:
Anne-Sophie C.A.M. Koning, MSc, PhD, Rosanne Ottevanger, MD, Maarten H. Vermeer, MD, PhD, Onno C. Meijer, MSc, PhD, Erik J. Giltay, MD, PhD
Publikováno v:
JAAD International, Vol 17, Iss , Pp 111-121 (2024)
Background: A substantial number of patients treated systemically with synthetic glucocorticoids undergo emotional disturbances during treatment. Patients with cutaneous T-cell lymphoma frequently experience skin inflammation and itching and often re
Externí odkaz:
https://doaj.org/article/412c38f401b84e0da31564122f9d16f3
Publikováno v:
Renmin Zhujiang, Vol 45, Pp 14-23 (2024)
To comprehensively analyze the influence of water regulation on the outflow of the three major reservoirs and the flow rates at key sections in the Dongjiang River Basin, this study employs the Mann-Kendall trend test to analyze the changes in the ra
Externí odkaz:
https://doaj.org/article/874475c334834d599d7055e19e371b5b
Autor:
Jinli Liu, Yihong Yuan
Publikováno v:
Annals of GIS, Vol 30, Iss 4, Pp 435-454 (2024)
The rise of data from smart city services and the emergence of advanced algorithms have emphasized the need for a deeper understanding of the underlying patterns of urban mobility and the potential opportunities for more efficient urban planning and
Externí odkaz:
https://doaj.org/article/90ebdf614d0a42c8a31109bd7dc02973
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Currently, the alarm functions of existing levee seepage monitoring systems are limited to single-parameter monitoring and lack rate-of-change alarms and correlation alarms. This can lead to false alarms, missed alarms, equipment failures, o
Externí odkaz:
https://doaj.org/article/befa0d2b5c294f23b3c32df8012f89f1
Autor:
M. Fariz Fadillah Mardianto, N. Ramadhan Al Akhwal Siregar, Steven Soewignjo, F. Friska Rahmana Putri, Hadi Prayogi, Citra Imama, Dita Amelia, Sediono, Deshinta Arrova Dewi
Publikováno v:
Journal of Human, Earth, and Future, Vol 5, Iss 3, Pp 319-329 (2024)
The global food crisis is perceived to have a significant impact on the national food sector. Time series clustering, a potent data mining technique, is employed to decipher and interpret intricate temporal patterns. Dynamic Time Warping (DTW), a mea
Externí odkaz:
https://doaj.org/article/d52e811117ab4a6dbe6f8d6fc11b7751
Publikováno v:
Comparative Economic Research, Vol 27, Iss 3, Pp 93-116 (2024)
Inflation expectations are a crucial variable for central banks. However, empirically examining their properties is challenging. This paper juxtaposes the properties of consumer and professional expectations. It also assesses the degree of forward- a
Externí odkaz:
https://doaj.org/article/a4876b87ab2a4e8f96804a3c8ab9546f
Publikováno v:
Jurnal Teknologi dan Sistem Informasi, Vol 10, Iss 2, Pp 100-109 (2024)
Pasar swalayan menghasilkan transaksi penjualan dengan pelanggan dengan laju pertumbuhan data tinggi. Data transaksi sejumlah barang memiliki pola berbeda, ada yang tinggi dan ada yang rendah. Perbedaan ini mengakibatkan pola penjualan antar satu pro
Externí odkaz:
https://doaj.org/article/4f9a148ebbb84427a243180c12818bcf
Autor:
Changjiang Niu
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200163- (2024)
Sports posture recognition plays a crucial role in modern sports science and training. Posture recognition and analysis plays a positive role in improving sports quality and ensuring sports safety. However, existing recognition technologies still hav
Externí odkaz:
https://doaj.org/article/e12506f5825f412896e8f4b588652e07
Autor:
Daehwi Jo, Hyunsoo Kim
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
This study presents a novel approach to quantitatively assess the impact of flooring materials on walkability using Inertial Measurement Unit (IMU) sensors and Dynamic Time Warping (DTW) algorithm. Four common pavement materials (wood, asphalt, concr
Externí odkaz:
https://doaj.org/article/be1bcbf4c690452f8f9ec6e5a68beac4
Autor:
Jian-Lei Li, Wei-Kang Shi
Publikováno v:
Heliyon, Vol 10, Iss 24, Pp e40819- (2024)
In the domain of stock price prediction, the intricate interdependencies within multivariate time series data present significant challenges for accurate forecasting. This paper introduces a groundbreaking hybrid preprocessing technique to tackle thi
Externí odkaz:
https://doaj.org/article/7e7b1fb0dd0e41ceabc032edf35f60c4