Results 191 to 200 of about 197,948 (294)

Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks. [PDF]

Sensors (Basel)
Zeng S, Cui J, Luo D, Lu N.
europepmc   +1 more source

Efficient Fault Detection of Rotor Minor Inter-Turn Short Circuit in Induction Machines Using Wavelet Transform and Empirical Mode Decomposition. [PDF]

Sensors (Basel), 2023
Rehman AU, Jiao W, Sun J, Sohaib M, Jiang Y, Shahzadi M, Khan MI.   +6 more
europepmc   +1 more source

Scalable Wheat Bran‐Algae Composites for Edible Electronics with Spray‐Coated Food‐Grade Conductive Inks

Advanced Electronic Materials, EarlyView.
A fully edible wheat bran–algae substrate is fabricated through scalable mould‐compression and spray‐coating, enabling robust, food‐grade platforms for sustainable electronics. A chitosan barrier improves water resistance and ink compatibility, while activated‐carbon conductive films form uniform electrodes with Ohmic behaviour.
Jaz Johari, Muhua Zhu, Zhiging Wang, Yichen Lang, Georgios Nikiforidis, Mingqing Wang, Mengyan Nie, Shahab Akhavan   +7 more
wiley   +1 more source

Estimation of Tissue Permeability in MRI Images by Empirical Mode Decomposition Method. [PDF]

J Biomed Phys Eng
Yahaghi E.
europepmc   +1 more source

An Adaptive ECG Noise Removal Process Based on Empirical Mode Decomposition (EMD). [PDF]

Contrast Media Mol Imaging, 2022
Hussein AF, Mohammed WR, Musa Jaber M, Ibrahim Khalaf O.   +3 more
europepmc   +1 more source

EMD Empirical Mode Decomposition

The study addresses the critical task of distinguishing UAVs from birds using mmWave MIMO radar under conditions where optical sensing is unreliable . Micro-Doppler signatures generated by wing flapping and propeller rotation provide discriminative phase information in complex I/Q radar signals .
openaire   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Research on information leakage in time series prediction based on empirical mode decomposition. [PDF]

Sci Rep
Yang X, Li J, Jiang X.
europepmc   +1 more source

A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning. [PDF]

Int J Environ Res Public Health, 2022
Liu S, Wan Y, Yang W, Tan A, Jian J, Lei X.   +5 more
europepmc   +1 more source

Resolving Oxidative and Corrosive Calendar‐Aging via Electrolyte Engineering for Stable Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
A weakly solvating ether solvent, 1,2‐dimethoxypropane (DMP), is proposed for use in localized high‐concentration electrolytes (LHCEs) for lithium metal batteries (LMBs). These DMP‐based LHCEs simultaneously suppress lithium metal corrosion and cathode degradation—two interrelated processes that accelerate calendar aging of LMBs.
Jisub Kim, Ihnkyung Jung, Kyunam Lee, Insu Hwang, Minkwan Kim, Eunseok Park, Dongmin Park, Hayoung Park, Yonggoon Jeon, Gaeun Park, Hyo Chul Ahn, Jihoon Oh, Jungwon Park, Ali Coskun, Jang Wook Choi   +14 more
wiley   +1 more source