Long-term forecasting - Open Access .click

Results 71 to 80 of about 8,108,857 (251)

A Deep Learning‐Based Long‐Term ENSO Forecasting Model: 3D‐STransformer

Journal of Geophysical Research: Machine Learning and Computation
The El Niño‐Southern Oscillation (ENSO) significantly impacts global climate variability, causing extreme events like droughts, floods, and heatwaves. Accurate prediction of ENSO is critical for managing agriculture, water resources, disaster prevention,
Jie Lian +3 more
doaj +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source

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 +6 more
doaj +1 more source

EMD-based gray combined forecasting model - Application to long-term forecasting of wind power generation. [PDF]

Heliyon, 2023
Ran M, Huang J, Qian W, Zou T, Ji C.
europepmc +1 more source

Long Term Care Ombudsman Annual Report and Program Report, 1995

, 1995
October 1, 1994 to September 30 ...
Kansas. Long Term Care Ombudsman
core

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source

A data driven model based approach for medium-to-long-term electricity price forecasting in power markets

Scientific Reports
Accurate medium-to-long-term electricity price forecasting constitutes a critical prerequisite for electricity market participants to formulate optimal bidding strategies and mitigate energy procurement expenditures.
Jun Hu, Shaotang Cai, Feng Li, Yinghong Chen +3 more
doaj +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 +3 more
doaj +1 more source

deep learning
lstm
forecasting

transformer
long short-term memory
wavelet transform

short-term load forecasting
medicine