Results 111 to 120 of about 6,622 (258)
Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis. [PDF]
Faysal A, Ngui WK, Lim MH, Leong MS.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model. [PDF]
Khan DM +6 more
europepmc +1 more source
ABSTRACT Organizations are increasingly required to integrate environmental, social, and governance (ESG) objectives alongside operational performance, yet empirical guidance on how firms should prioritize among ESG activities under resource constraints remains limited.
Minyoung Choi +2 more
wiley +1 more source
A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition. [PDF]
Dai Y +7 more
europepmc +1 more source
A sustainable alternative to steam cracking, the molten‐salt‐mediated oxidative dehydrogenation (MM‐ODH) of ethane (C2H6) in Li2CO3‐Na2CO3‐K2CO3 (LNK) couples thermal cracking with melt‐mediated CO2 capture to realize commercially competitive C2H4 and CO yields. LNK composition strongly influences MM‐ODH process outcomes.
Kyle Vogt‐Lowell +6 more
wiley +1 more source
Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition. [PDF]
Cho JH, Kim DK, Kim EJ.
europepmc +1 more source
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
wiley +1 more source
Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition
Improved efficiency, enhanced integration with distributed generations (DGs), and the proliferation of DC loads in power systems have driven a surge in the adoption of DC microgrids (DCMGs).
Hengameh Chabok +2 more
doaj +1 more source
To address the challenge of effectively filtering out noise components in GPS coordinate time series, we propose a denoising method based on parameter-optimized variational mode decomposition (VMD).
Ziyu Wang, Xiaoxing He
doaj +1 more source

