Results 171 to 180 of about 197,948 (294)

Tunable High‐Performance Metamaterial Filters Based on Novel SRR Architectures

Advanced Science, EarlyView.
Based on two novel SRR configurations and two independent SRR integration approaches, four tunable bandpass metamaterial filters were fabricated with an ultra‐thin ceramic substrate. Among them, SM‐2 achieves over 97% electromagnetic wave transmittance, with a minimal 1.15% deviation in its resonant frequency prediction, making them promising ...
Lingxi Qu, Liya Zheng, Ruopeng Liu, Chunlin Ji, Bin Li   +4 more
wiley   +1 more source

Detecting position dependent tremor with the Empirical mode decomposition [PDF]

, 2015

core   +1 more source

Empirical Mode Decomposition-Based Deep Learning Model Development for Medical Imaging: Feasibility Study for Gastrointestinal Endoscopic Image Classification. [PDF]

J Imaging
Deb M, Dhar MK, Elangovan P, Gopalakrishnan K, Sood D, Sethi A, Afroze S, Bansal S, Goudel A, Parikh C, Kaur A, Rapolu S, Panjwani GAR, Ansari RA, Asadimanesh N, Karuppiah SS, Helgeson SA, Akshintala VS, Arunachalam SP.   +18 more
europepmc   +1 more source

An Approach for Estimating Lightning Current Parameters Using the Empirical Mode Decomposition Method. [PDF]

Sensors (Basel), 2022
Grebović S, Oprašić N, Helać V, Uglešić I, Akšamović A, Konjicija S.   +5 more
europepmc   +1 more source

Temperature‐Driven Emission Redistribution of Yb2+ in SrB4O7 Enables Highly Sensitive Optical Thermometry Supported by Multiple Linear Regression

Advanced Science, EarlyView.
A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao, Teng Zheng, Przemysław Woźny, Miguel A. Hernández‐Rodríguez, Shiqing Xu, Inocencio R. Martín, Marcin Runowski   +6 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

A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface. [PDF]

Front Comput Neurosci, 2022
Jaipriya D, Sriharipriya KC.
europepmc   +1 more source

Heterojunction‐Engineered Mass Spectrometry Platform for Deciphering Serum Metabolic Fingerprints in Diagnosis of Respiratory Diseases

Advanced Science, EarlyView.
Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen, Chaoqi Wang, Xi Yu, Yuming Jiang, Yijiao Qu, Huihui Fu, Yuyin Bu, Xiaoyong Zhang, Zongxiu Nie   +8 more
wiley   +1 more source

Automatic differentiation of voluntary and tremulous motion using ensemble empirical mode decomposition and convolutional Bi-directional LSTM. [PDF]

Sci Rep
Ling JQ, Bakibillah ASM, Chan PY, Nurzaman SG, Tan CP.   +4 more
europepmc   +1 more source

A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition. [PDF]

Sensors (Basel), 2023
Trybek P, Sobotnicka E, Wawrzkiewicz-Jałowiecka A, Machura Ł, Feige D, Sobotnicki A, Richter-Laskowska M.   +6 more
europepmc   +1 more source