Improving the performance of daily pan evaporation (Ev<sub>p</sub>) prediction using the ensemble empirical mode decomposition combined with deep learning models. [PDF]
Kayhomayoon Z +4 more
europepmc +1 more source
An Empirical Mode Decomposition Fuzzy Forecast Model for COVID-19. [PDF]
Chen BL, Shen YY, Zhu GC, Yu YT, Ji M.
europepmc +1 more source
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source
Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security. [PDF]
Nasr M +3 more
europepmc +1 more source
Evaluation of Three-Dimensional Surface Roughness in Microgroove Based on Bidimensional Empirical Mode Decomposition. [PDF]
Jiang H, Li W, Yu Z, Yu H, Xu J, Feng L.
europepmc +1 more source
PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su +7 more
wiley +1 more source
Enhanced MRI-PET fusion using Laplacian pyramid and empirical mode decomposition for improved oncology imaging. [PDF]
Suryanarayana G +7 more
europepmc +1 more source
Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition. [PDF]
Rehman AU +6 more
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks. [PDF]
Zeng S, Cui J, Luo D, Lu N.
europepmc +1 more source

