Results 81 to 90 of about 4,529 (276)

Multidimensional and multivariate empirical mode decomposition [PDF]

, 2019
Over the last decade, Empirical Mode Decomposition (EMD) has developed into a versatile tool for adaptive, scale-based modal decomposition. EMD has proven to be capable of decomposing multivariate signals with cross-channel mode alignment.
Thirumalaisamy, Mruthun R.
core  

A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain–computer interface [PDF]

, 2017
Objective: Accurate and efficient detection of steady-state visual evoked potentials (SSVEP) in electroencephalogram (EEG) is essential for the related brain–computer interface (BCI) applications.
Yi-Feng Chen, Kiran Atal, Xie, S-Q, Quan Liu, Atal, K, Sheng-Quan Xie, Liu, Q, Chen, Y-F   +7 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

A multivariate empirical mode decomposition based filtering for subject independent BCI [PDF]

2016 27th Irish Signals and Systems Conference (ISSC), 2016
Goal: A brain-computer interface (BCI) provides a way to translate the motion intentions of human using brain signals such as electroencephalogram (EEG) into control commands. EEG signals are highly subject specific and non-stationary. One of the most challenging tasks is to classify motion intentions since the recorded EEG signals have inherent non ...
Pramod Gaur, Ram Bilas Pachori, Hui Wang, Girijesh Prasad   +3 more
openaire   +1 more source

Emotion elicitation analysis in multi-channel EEG signals using multivariate Empirical Mode Decomposition and Discrete Wavelet Transform [PDF]

, 2017
In recent years, wavelet-based, Fourier-based and Hilbert-based time-frequency methods attracted attention in emotion state classification studies in human machine interaction.
Bulent Yilmaz, Ozel, Pinar, Yilmaz, Bulent, Akan, Aydin, Pinar Ozel, Aydin Akan   +5 more
core   +1 more source

Food insecurity and unemployment among immigrants in the United States

American Journal of Agricultural Economics, EarlyView.
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou, Joshua Berning, Alessandro Bonanno, Jude Bayham   +3 more
wiley   +1 more source

Performance evaluation of Noise-Assisted Multivariate Empirical Mode Decomposition and its application to multichannel EMG signals [PDF]

, 2017
© 2017 IEEE. The use of the Empirical Mode Decomposition (EMD) for nonlinear signal processing has been popularized in the recent years. However, its utility for the processing of multichannel Electromyography (EMG) signals is still limited.
Yao, D, Xu, P, Dezhong Yao, Peng Xu, Su, S, Yi Zhang, Zhang, Y, Steven Su   +7 more
core   +1 more source

Stabilization of PUFA‐Rich Mayonnaise Against Lipid Oxidation: A Review of the Last Three Decades of Research

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi, Betül Yesiltas, Charlotte Jacobsen   +2 more
wiley   +1 more source

The costs of extra‐pair behaviours in birds

Biological Reviews, EarlyView.
ABSTRACT Extra‐pair behaviours – reproductive behaviours, including those related to copulation and paternity of offspring, amongst animals outside of a social pair bond – have long intrigued behavioural ecologists, particularly from the female animal's perspective.
Jørgen S. Søraker, Jamie Dunning
wiley   +1 more source