Results 201 to 210 of about 338,685 (349)

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, Fanyang Mo   +4 more
wiley   +1 more source

Empirical Mode Decomposition and Hilbert Spectrum for Abnormality Detection in Normal and Abnormal Walking Transitions. [PDF]

Int J Environ Res Public Health, 2023
Erfianto B, Rizal A, Hadiyoso S.
europepmc   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang, Muyang Chen, Gengyi Bao, Yan Lai, Jinghe Cao, Xinhua Liu, Rui Tan   +6 more
wiley   +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

Automatic detection of mode mixing in empirical mode decomposition using non-stationarity detection: application to selecting IMFs of interest and denoising [PDF]

, 2011
J. Terrien, Catherine Marque, Brynjar Karlsson   +2 more
openalex   +1 more source

Self‐Assembled Myricetin‐Arginine Conjugate Nanozymes for Targeted Suppression of Joint Inflammation and Osteoclastogenesis in Rheumatoid Arthritis

Advanced Science, EarlyView.
Carrier‐free myricetin‐arginine conjugate nanozymes (MANZs) have been fabricated through a Mannich reaction and spontaneous self‐assembly. MANZs selectively accumulate in inflamed joints by targeting M1 macrophages via CAT2‐mediated uptake. The nanozymes can effectively modulate macrophage polarization, suppress osteoclast differentiation, and mitigate
Jiachang Hong, Penghao Ji, Jinxi An, Junchao Huang, Ziheng Bu, Xudong Zhang, Wei Liu, Tingyu Wu, Sen Wang, Wei Zhu, Yuhui Li, Jixian Wan, Sudan Xu, Minfeng Huo, Peng Wu   +14 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

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Advanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng, Yufan Zhao, Mingyang Cao, Haiou Yang, Pan Wang, Hongze Wang, Hao Wang, Akihiko Chiba, Xin Lin   +8 more
wiley   +1 more source