Results 51 to 60 of about 451,636 (157)

Entropy of Entropy: Measurement of Dynamical Complexity for Biological Systems

Entropy, 2017
Healthy systems exhibit complex dynamics on the changing of information embedded in physiologic signals on multiple time scales that can be quantified by employing multiscale entropy (MSE) analysis.
Chang Francis Hsu, Sung-Yang Wei, Han-Ping Huang, Long Hsu, Sien Chi, Chung-Kang Peng   +5 more
doaj   +1 more source

Mahler series with multiplicative coefficient sequences

We prove that every Mahler series, over a field of characteristic $0$, with multiplicative coefficients is regular in the sense of Allouche and Shallit. We also obtain an explicit characterization of such series. This yields a joint extension of the characterization of rational series with multiplicative coefficients (by Bézivin and Bell--Bruin--Coons)
Bell, Jason, Smertnig, Daniel
openaire   +2 more sources

Additional file 3 of Next-generation sequencing facilitates differentiating between multiple primary lung cancer and intrapulmonary metastasis: a case series

, 2021
Additional file 3.IGV pictures illustrating BRAF p.K601E and V600_K601delinsE mutations.
Liu, Changjiang, Liu, Chengang, Zou, Xiao, Shao, Lin, Sun, Ying, Guo, Yang   +5 more
openaire   +1 more source

AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting

Frontiers in Artificial Intelligence
IntroductionTime series analysis plays a critical role in various applications, including sensor data monitoring, weather forecasting, economic predictions, and network traffic management. While traditional methods primarily focus on modeling time series
Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan   +4 more
doaj   +1 more source

Automated Detection of Paroxysmal Atrial Fibrillation Using an Information-Based Similarity Approach

Entropy, 2017
Atrial fibrillation (AF) is an abnormal rhythm of the heart, which can increase heart-related complications. Paroxysmal AF episodes occur intermittently with varying duration.
Xingran Cui, Emily Chang, Wen-Hung Yang, Bernard C. Jiang, Albert C. Yang, Chung-Kang Peng   +5 more
doaj   +1 more source

State of Health Estimation for Lithium-ion Batteries Based on Fusion of Autoregressive Moving Average Model and Elman Neural Network

IEEE Access, 2019
This paper proposes a fusion model based on the autoregressive moving average (ARMA) model and Elman neural network (NN) to achieve accurate prediction for the state of health (SOH) of lithium-ion batteries.
Zheng Chen, Qiao Xue, Renxin Xiao, Yonggang Liu, Jiangwei Shen   +4 more
doaj   +1 more source

Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding

Frontiers in Neurorobotics, 2017
Understanding of human intention by observing a series of human actions has been a challenging task. In order to do so, we need to analyze longer sequences of human actions related with intentions and extract the context from the dynamic features.
Zhibin Yu, Dennis S. Moirangthem, Minho Lee   +2 more
doaj   +1 more source

Multi-Source PM2.5 Prediction Model Based on Fusion of Graph Attention Networks and Multiple Time Periods

IEEE Access
Aiming at the problem that the traditional time series prediction model only considers a single node (region), does not take into account the spatial interactivity among multiple nodes and the cycle characteristics embedded in the time series data, and ...
Bolin Qi, Yong Jiang, Hongliang Wang, Jixin Jin   +3 more
doaj   +1 more source

STRONG: metagenomics strain resolution on assembly graphs

Genome Biology, 2021
We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from multiple metagenome samples. STRONG performs coassembly, and binning into metagenome assembled genomes (MAGs), and stores the coassembly graph prior to ...
Christopher Quince, Sergey Nurk, Sebastien Raguideau, Robert James, Orkun S. Soyer, J. Kimberly Summers, Antoine Limasset, A. Murat Eren, Rayan Chikhi, Aaron E. Darling   +9 more
doaj   +1 more source

Identification of pathogenic mutations in 6 Chinese families with multiple exostoses by whole-exome sequencing and multiplex ligation-dependent probe amplification

Medicine, 2019
Abstract Rationale: Hereditary multiple exostoses (HMEs) is an autosomal dominant skeletal disorder. Patient concerns: Six probands of the 6 unrelated Han Chinese families were identified as having HME.
Long, Xigui, Li, Zhuo, Huang, Yanru, Zhang, Li, Lv, Weigang, Teng, Yanling, Linpeng, Siyuan, Liang, Desheng, Wu, Lingqian   +8 more
openaire   +2 more sources