Results 61 to 70 of about 5,352,065 (277)

On the behavior of EMD and MEMD in presence of symmetric alpha-stable noise [PDF]

, 2014
EmpiricalMode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred to as Intrinsic Mode ...
NOLAN, John, DARE, Delphine, DARE-EMZIVAT, Delphine, BOUDRAA, Abdel-Ouahab, KOMATY, Ali   +4 more
core   +1 more source

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

Advanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri, A. Mangiarotti, C. N. Z. Schmitt, R. Dimova   +3 more
wiley   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

A Multivariate Empirical Mode Decomposition–Based Data-Driven Approach for Extracting Task-Dependent Hemodynamic Responses in Olfactory-Induced fMRI

IEEE Access, 2019
Olfactory dysfunction is related to several clinical neurodegenerative diseases, such as Alzheimer's disease, multiple sclerosis, degenerative ataxias, Parkinson's disease, and so on.
Kuo-Wei Wang, Chia-Yuen Chen, Hsiao-Huang Chang, Chuan-Chih Hsu, Gong-Yau Lan, Hao-Teng Hsu, Kuo-Kai Shyu, Wing P. Chan, Po-Lei Lee   +8 more
doaj   +1 more source

Traffic speed prediction of high‐frequency time series using additively decomposed components as features

IET Smart Cities, 2022
Traffic speed prediction is an integral part of an Intelligent Transportation System (ITS) and the Internet of Vehicles (IoV). Advanced knowledge of average traffic speed can help take proactive preventive steps to avoid impending problems.
Muhammad Ali, Kamaludin Mohamad Yusof, Benjamin Wilson, Carina Ziegelmueller   +3 more
doaj   +1 more source

Soil pH Amelioration Synergizes Carbon Accrual with Yield Gains Under Organic Substitution

Advanced Science, EarlyView.
Soil pH shifts towards neutrality in both acidic and alkaline soils under organic substitution. A global synthesis links pH amelioration to soil organic carbon accrual through enhanced microbial biomass after accounting for added organic carbon and its interaction with pH. This pH amelioration‐shared soil organic carbon accrual accounts for 5.1–8.6% of
Xunzhuo Dong, Yanzhong Yao, Bingbing Han, Yunyao Zhong, Benyi Li, Mengfei Li, Yunchao Dai, Zhaolei Li   +7 more
wiley   +1 more source

Gear Fault Diagnosis Based on APIT-SA-MEMD and FLLE

Jixie chuandong, 2022
Gears are often in a harsh working environment, and their vibration signals have the characteristics of non-linearity and non-stationarity. Therefore, it is of great significance to develop a fault diagnosis method suitable for gears.
Ji Haofei, Liu Huiling, Dong Jiaqiang
doaj  

Daily Flood Forecasts with Intelligent Data Analytic Models: Multivariate Empirical Mode Decomposition-Based Modeling Methods

, 2020
Flood causes massive damages to infrastructure, agriculture, livelihood and leads to loss of life. This chapter designs M5 tree-based machine learning model integrated with advanced multivariate empirical mode decomposition (i.e., MEMD-M5 Tree) for daily
Deo, Ravinesh C., Singh, Sanjay, Lionel Joseph, Prasad, Ramendra, Ravinesh C. Deo, Dhrishna Charan, Charan, Dhrishna, Thong Nguyen-Huy, Nguyen-Huy, Thong, Ramendra Prasad, Sanjay Singh, Joseph, Lionel   +11 more
core   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source