Results 161 to 170 of about 561,284 (332)

Single‐Virus Stochastic Biosensing: Proof of Concept for SARS‐CoV‐2 Detection in Complex Medium Using CMOS‐Based Nanocapacitor Arrays

Advanced Sensor Research, EarlyView.
SARS‐CoV‐2 particles in complex cell culture medium are detected using high‐frequency electrical measurements. This is made possible through the use of large arrays of independently addressable nanoelectrodes implemented using complementary metal oxide semiconductor (CMOS), semiconductor technology.
Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van der Ham, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay   +7 more
wiley   +1 more source

Optimal Estimation of a Signal Generated Using a Dynamical System Modeled with McKean-Vlasov Stochastic Differential Equations. [PDF]

Entropy (Basel)
Dragan V, Aberkane S.
europepmc   +1 more source

Stochastic Differential Equations in Duals of Nuclear Spaces with Some Applications.

, 1986
G. Kallianpur
openalex   +2 more sources

Review: H. Kunita, Stochastic Flows and Stochastic Differential Equations [PDF]

, 1993
T. E. Harris
openalex   +1 more source

A Force Myography (FMG) Armband Based on Micro‐Structured Textile‐Pressure Sensors for Human‐Machine Interface (HMI)

Advanced Sensor Research, EarlyView.
This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane, Hao Zhou, Shen Zhang, Gursel Alici   +3 more
wiley   +1 more source

Convergence of Relative Entropy for Euler-Maruyama Scheme to Stochastic Differential Equations with Additive Noise. [PDF]

Entropy (Basel)
Yu Y.
europepmc   +1 more source

Self-correcting approximate solution by the iterative method for linear and nonlinear stochastic differential equations

, 1980
G. Adomian, Karl Malakian
openalex   +1 more source

Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery

Advanced Sustainable Systems, EarlyView.
This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee, Kyungju Nam, Seung Hyo Noh, Donghwi Kim, Joonhee Kang   +4 more
wiley   +1 more source

Modeling single cell trajectory using forward-backward stochastic differential equations. [PDF]

PLoS Comput Biol
Zhang K, Zhu J, Kong D, Zhang Z.
europepmc   +1 more source

Path integral methods for stochastic differential equations. [PDF]

J Math Neurosci, 2015
Chow CC, Buice MA.
europepmc   +1 more source