Results 161 to 170 of about 5,207,763 (284)

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

Multi‐omics–driven precision medicine

iMeta, EarlyView.
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li, Zhe Zhao, Yifan Zhang, Yao Ma, Gaofei Hu, Min Zeng, Zhanqun Yang, Zixuan Zhao, Xin Zhou, Wei Hu, Yuxuan Sun, Meng Su, Jun Li, Matthew Whiteman, Wei Fu, Chao Zhong, Lemin Zheng, Long Chen, Hairong Lv, Rongsheng Zhao, Yi Zhun Zhu   +20 more
wiley   +1 more source

Research on Noise Reduction and Analysis of Reciprocating Friction Vibration Signals Based on the Complementary Ensemble Empirical Mode Decomposition. [PDF]

Sensors (Basel)
Yu Y, Wei H, Liu Z.
europepmc   +1 more source

Deniers and Compliers: Unpacking the Heterogeneous Effectiveness of U.S. Stay‐at‐Home Mandates During the COVID‐19 Pandemic

Journal of Applied Econometrics, EarlyView.
ABSTRACT While existing work shows COVID‐19 stay‐at‐home (SAH) policies decreased mobility on average, we lack evidence regarding heterogeneity in policy effectiveness across US counties. To uncover potential heterogeneity, we implement a novel two‐stage approach.
James Sears, Sofia B. Villas‐Boas, Molly Sears, Carly Trachtman, Linlin Fan, Andrew W. Stevens   +5 more
wiley   +1 more source

A Deep Learning-Guided Ensemble Empirical Mode Decomposition Method for Single-Channel Fetal Electrocardiogram Extraction. [PDF]

Sensors (Basel)
Xu X, Zhang Y, Rao Y, Xu Y, Gao Y, Tu H.
europepmc   +1 more source

Southern Portugal hydroclimate of the last millennium from near‐annually resolved speleothem records

Journal of Quaternary Science, EarlyView.
ABSTRACT Hydroclimate in Portugal is influenced by the North Atlantic subtropical high‐pressure system (the Azores High) and by internal climate modes, most prominently the North Atlantic Oscillation, which may shift in position and/or intensity due to anthropogenic climate change.
Alaina Chormann, Alan D. Wanamaker, Diana Thatcher, David P. Gillikin, Yemane Asmerom, Victor Polyak, Caroline C. Ummenhofer, Frederico Tátá Regala, Anouk Verheyden, Suzanne Ankerstjerne, Rhawn F. Denniston   +10 more
wiley   +1 more source

Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs. [PDF]

Sensors (Basel)
Machrowska A, Karpiński R, Maciejewski M, Jonak J, Krakowski P, Syta A.   +5 more
europepmc   +1 more source

Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy. [PDF]

Front Neurorobot, 2020
Zhao J, She J, Fukushima EF, Wang D, Wu M, Pan K.   +5 more
europepmc   +1 more source

[Research on automatic removal of ocular artifacts from single channel electroencephalogram signals based on wavelet transform and ensemble empirical mode decomposition]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2021
Zhang R, Liu J, Chen M, Zhang L, Hu Y.
europepmc   +1 more source

Hybrid Approach of an Empirical Mode Decomposition and Wavelet Support Vector Machine for Forecasting Singapore Tourist Arrivals to Malaysia

, 2018
Time series modelling and forecasting has fundamental importance to various practical domains. Thus, a lot of active research works is going on in this subject during several years. Many important models have been proposed in literature for improving the
A. Shabri, A. Rafidah, (UniKL MITEC)
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