Results 51 to 60 of about 16,203 (295)

Noise-Assisted Multivariate Variational Mode Decomposition on fMRI Data for Phase Synchronization Analysis

2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Recently, there has been a growing interest in analyzing resting-state fMRI (rs-fMRI) signals using Time-Varying Phase Synchronization (TVPS) measures.
Charalampos Lamprou, Leontios J Hadjileontiadis, Mohamed L Seghier   +2 more
openaire   +2 more sources

Multivariate Variational Mode Decomposition Improves Dynamic Causal Modeling for FMRI Data

2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Dynamic Causal Modeling (DCM) is a Bayesian framework to investigate effective connectivity between brain regions using neuroimaging data. High noise levels can significantly affect the efficiency and reliability of DCM.
Charalampos Lamprou, Aamna Alshehhi, Leontios J Hadjileontiadis, Mohamed L Seghier   +3 more
openaire   +2 more sources

Hybrid Prediction Model Based on Decomposed and Synthesized COVID-19 Cumulative Confirmed Data

ISPRS International Journal of Geo-Information, 2023
Since 2020, COVID-19 has repeatedly arisen around the world, which has had a significant impact on the global economy and culture. The prediction of the COVID-19 epidemic will help to deal with the current epidemic and similar risks that may arise in the
Zongyou Xia, Gonghao Duan, Ting Xu
doaj   +1 more source

Short-time variational mode decomposition [PDF]

Variational mode decomposition (VMD) and its extensions like Multivariate VMD (MVMD) decompose signals into ensembles of band-limited modes with narrow central frequencies using Fourier transformations.
Liang, Tong, Kushihashi, Yasuhiro, Cao, Pengfei, Jia, Hao, Grau Saldes, Antoni, Bolea Monte, Yolanda, Duan, Feng, Caiafa, Cesar F., Sun, Zhe, Sole Casals, Jordi   +9 more
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

A Single-End Location Method for Small Current Grounding System Based on the Minimum Comprehensive Entropy Kurtosis Ratio and Morphological Gradient

Applied Sciences
Fault location technology is crucial for enhancing the efficiency of fault maintenance and ensuring the safety of the power supply in small current grounding systems.
Jiyuan Cao, Yanwen Wang, Lingjie Wu, Yongmei Zhao, Le Wang   +4 more
doaj   +1 more source

A multivariate ultra-short-term wind speed forecasting model by employing multistage signal decomposition approaches and a deep learning network [PDF]

, 2022
Wind speed forecasting (WSF) accuracy is vital for exploiting renewable and environment-friendly wind energy. Therefore, a hybrid WSF model, namely VIL (VMD-ICEEMDAN-LSTM), was constructed in this study.
Bashir, Hassan, Azam, Muhammad Imran, Li, Xianshan, Sibtain, Muhammad, Abbas, Tanveer, Nawaz, Mohsin, Hameed, Salma, Saleem, Snoober   +7 more
core   +1 more source

Sustainable Electrochemical Synthesis of High‐Quality MXenes: Mechanistic Insights, Applications, Challenges, and Technological Prospects

Advanced Functional Materials, EarlyView.
Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh, Madhusudhana M Devadiga, Santosh K. Tiwari, AS Dhaliwal, Gurpreet Singh Selopal   +4 more
wiley   +1 more source

A customised 1D-CNN for recognition of freezing of gait in Parkinson’s disease using multivariate decomposition techniques

Open Computer Science
The freezing of gait (FoG) presents a sudden challenge in sustaining movement which becomes a common gait issue in people with later stages of Parkinson’s disease (PD). FoG often results in falls that reduces the individual’s impact on life.
Rajendran Nancy, Selvaraj Thomas G., Pennagaram Krushnakumar Kalkeseetharaman, Ashwala Ravi T., Muthu Sinnasamy Pandian Subathra   +4 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source