Results 161 to 170 of about 11,165 (303)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Quasi‐digital memristor with self‐rectifying and synaptic functions in crossbar array architectures

FlexMat, EarlyView.
The text should be different from the abstract text. A self‐rectifying quasi‐digital memristor (QDM) featuring a well‐defined p‐AgI/n‐PbI2 heterojunction is developed. It monolithically integrate diode‐like rectification, digital switching, and analog plasticity.
Tianyu Liu, Qingqing Wang, Qiuyu Liu, Jinze Li, Zhongjing Xia, Hongcheng Yang, Zilong Mao, Siyu Gou, Zhe Li, Chao Zhu, Xuefen Song, Lin Wang   +11 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

Numerical solution of generalized logarithmic integral equations of the second kind by projections

, 2018
In this work, we present a new techniques to solve the integral equations of the second kind with logarithmic kernel. First, we show the existence and uniqueness of the solution for the given problem in a Hilbert space.
Jawatankuasa Kerja PSM UPM
core  

Logarithm of the kernel function

International Mathematical Forum, 2018
openaire   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

Qualitative analysis and numerical simulation of ABC fractional impulsive differential systems with implicit nonlinear terms and integral boundary conditions. [PDF]

PLoS One
Sharif AA, Hamood M, Ghadle KP.
europepmc   +1 more source

Extraction of Antimicrobial Peptides From Fava Bean Protein Hydrolyzate by Phosphorylated Biochar

Food Safety and Health, EarlyView.
Antimicrobial peptides were extracted by functional biochar in one step. The enriched peptides demonstrated significantly enhanced antibacterial activity. ABSTRACT The extraction of antimicrobial peptides (AMPs) from plant proteins remains challenging due to their low abundance, structural diversity, and the need for mild, efficient, and selective ...
Xiang‐Yu Huang, Hao‐Ran Liu, Rong Guo, Li Ding, Li Wen, Xu‐Feng Wang, Zhou Xu, Yun‐Hui Cheng, Mao‐Long Chen   +8 more
wiley   +1 more source

A Complex Tension Origin for Dilaton Gravity: Jordan Stiffness and Logarithmic Einstein Dynamics. [PDF]

Entropy (Basel)
Vaillant M, Scott TC.
europepmc   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source