Results 161 to 170 of about 14,407 (260)
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Forecasting electricity consumption of India through nighttime satellite imagery. [PDF]
R D +4 more
europepmc +1 more source
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Development and validation of deep vein thrombosis diagnostic model based on machine learning methods. [PDF]
Yan B +6 more
europepmc +1 more source
AET-FRAP-A Periodic Reshape Transformer Framework for Rock Fracture Early Warning Using Acoustic Emission Multi-Parameter Time Series. [PDF]
Yang D, Zhang Z, Yang Z, Li Y, Jin L.
europepmc +1 more source
The difference in hematocrit and albumin levels and the risk of sepsis for patients with acute pancreatitis: a retrospective cohort study based on the MIMIC-IV database. [PDF]
Jin M, Wu Y, Ye B.
europepmc +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago +3 more
wiley +1 more source
Enhancing Super-Resolution Network Efficacy in CT Imaging: Cost-Effective Simulation of Training Data. [PDF]
Tang Z, Xing X, Wang G, Yang G.
europepmc +1 more source

