Results 151 to 160 of about 197,948 (294)

Ataxic speech disorders and Parkinson's disease diagnostics via stochastic embedding of empirical mode decomposition. [PDF]

PLoS One, 2023
Campi M, Peters GW, Toczydlowska D.
europepmc   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

Advanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni, Francesco Giuseppe Quilici, Davide Cademartori, Claudio Scarpelli, Uways Nurulain Mithoowani, Federica Barontini, Alessandro Ruvio, Monica Puccini, Giovanni Lutzemberger, Maria Paola Carpanese, Antonio Bertei   +10 more
wiley   +1 more source

From Lidar Measurement to Rotor Effective Wind Speed Prediction: Empirical Mode Decomposition and Gated Recurrent Unit Solution. [PDF]

Sensors (Basel), 2023
Shi S, Liu Z, Deng X, Chen S, Song D.
europepmc   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Classification of fall risk in Parkinson's disease using empirical mode decomposition and machine learning. [PDF]

Front Bioeng Biotechnol
Gui Y, Fan Y, Liu L, Cao J, Zhang L, Yu Y, Adams R, Han J, Lyu J.   +8 more
europepmc   +1 more source

Capturing the power of seizures: an empirical mode decomposition analysis of epileptic activity in the mouse hippocampus. [PDF]

Front Mol Neurosci, 2023
Molnár L, Ferando I, Liu B, Mokhtar P, Domokos J, Mody I.   +5 more
europepmc   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 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

Brain Microtubule Electrical Oscillations-Empirical Mode Decomposition Analysis. [PDF]

Cell Mol Neurobiol, 2023
Scarinci N, Priel A, Cantero MDR, Cantiello HF.   +3 more
europepmc   +1 more source