Results 71 to 80 of about 60,268 (218)

Long-Term Passenger Flow Forecasting for Rail Transit Based on Complex Networks and Informer

Sensors
With the continuous growth of urbanization, passenger flow in urban rail transit systems is steadily increasing, making accurate long-term forecasting essential for optimizing operational scheduling and enhancing service quality.
Dekui Li, Shubo Du, Yuru Hou
doaj   +1 more source

Hybrid linear time series approach for long term forecasting of crop yield

The Indian Journal of Agricultural Sciences, 2018
Long term forecasting of crop production is required to establish long term vision, say by 2025, to meet growing demand of population at that point of time. Existing univariate linear time series ARIMA approach is valid for short term forecast only.
WASI ALAM, KANCHAN SINHA, RAJEEV RANJAN KUMAR, MRINMOY RAY, SANTOSHA RATHOD, K N SINGH, PRAWIN ARYA   +6 more
doaj   +1 more source

Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model. [PDF]

J Neuroeng Rehabil, 2023
Schweighofer N, Ye D, Luo H, D'Argenio DZ, Winstein C.   +4 more
europepmc   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

FEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee, Junho Jeong, Chae Yeong Lee, Hyunjoon Cho, Man Hwan Oh, Je Chul Lee, Jee‐Young Lee, Yangmee Kim   +7 more
wiley   +1 more source

Mixing High-Frequency Bands Based on Wavelet Decomposition for Long-Term State-of-Charge Forecasting of Lithium-Ion Batteries

IEEE Access
Although state-of-charge (SoC) forecasting has received considerable attention, long-term prediction remains a challenging task due to disrupted temporal dependencies and the neglect of battery signal characteristics.
Yeseo Joo, Chihyeon Choi, Sangho Lee, Youngdoo Son   +3 more
doaj   +1 more source

Hierarchical attention network for multivariate time series long-term forecasting. [PDF]

Appl Intell (Dordr), 2023
Bi H, Lu L, Meng Y.
europepmc   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

FEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Long-Term and Short-Term Photovoltaic Power Generation Forecasting Using a Multi-Scale Fusion MHA-BiLSTM Model

Energies
As the proportion of photovoltaic (PV) power generation continues to increase in power systems, high-precision PV power forecasting has become a critical challenge for smart grid scheduling.
Mengkun Li, Letian Sun, Yitian Sun
doaj   +1 more source

Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk. [PDF]

Comput Intell Neurosci, 2022
Zhang J, Chen L.
europepmc   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source