Results 41 to 50 of about 1,205,232 (260)

Ultra-short-term and Short-term Power Load Single-step and Multi-step Prediction Considering Spatial Association [PDF]

open access: yesJisuanji gongcheng
Accurate ultra-short-term and short-term multi-region power load forecasting is the key to achieving rapid response and real-time scheduling in power systems.
GENG Zhenwei, LI Shenzhang, YU Fengrong
doaj   +1 more source

Pseudostarlikeness and Pseudoconvexity of Multiple Dirichlet Series

open access: yesUniversal Journal of Mathematics and Applications, 2023
Let $p\in {\Bbb N}$, $s=(s_1,\ldots,s_p)\in {\Bbb C}^p$, $h=(h_1,\ldots,h_p)\in {\Bbb R}^p_+$, $(n)=(n_1,\ldots,n_p)\in {\Bbb N}^p$ and the sequences $\lambda_{(n)}=(\lambda^{(1)}_{n_1},\ldots,\lambda^{(p)}_{n_p})$ are such that $0<\lambda^{(j)}_1 ...
Myroslav Sheremeta
doaj   +1 more source

HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks

open access: yes, 2020
The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fact, been extensively studied in categorical sequences.
Casiraghi, Giona   +5 more
core   +1 more source

Efficacy and Safety Analysis of Roxarestat in Regulating Renal Anemia in Patients on Maintenance Hemodialysis

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley   +1 more source

FAFTransformer: Multivariate time series prediction method based on multi‐period feature recombination

open access: yesElectronics Letters
Multivariate time series forecasting is widely used in various fields in real life. Many time series prediction models have been proposed. The current forecasting model lacks the mining of correlation between sequences based on different periods and ...
WenChang Zhang   +5 more
doaj   +1 more source

Short-Term Non-Residential Load Forecasting Based on Multiple Sequences LSTM Recurrent Neural Network

open access: yesIEEE Access, 2018
The energy consumption by non-residential consumers in China accounts for a significant proportion of the total energy consumption in the society. Thus, accurate non-residential load forecasting plays an increasingly essential role in the future grid ...
Runhai Jiao   +3 more
doaj   +1 more source

Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. [PDF]

open access: yesPLoS Computational Biology, 2008
It is generally thought that skilled behavior in human beings results from a functional hierarchy of the motor control system, within which reusable motor primitives are flexibly integrated into various sensori-motor sequence patterns.
Yuichi Yamashita, Jun Tani
doaj   +1 more source

tsflex: Flexible time series processing & feature extraction

open access: yesSoftwareX, 2022
Time series processing and feature extraction are crucial and time-intensive steps in conventional machine learning pipelines. Existing packages are limited in their applicability, as they cannot cope with irregularly-sampled or asynchronous data and ...
Jonas Van Der Donckt   +3 more
doaj   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences

open access: yes, 2015
We propose a neural sequence-to-sequence model for direction following, a task that is essential to realizing effective autonomous agents. Our alignment-based encoder-decoder model with long short-term memory recurrent neural networks (LSTM-RNN ...
Bansal, Mohit   +2 more
core   +1 more source

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