Results 171 to 180 of about 836,551 (359)

The Stochastic Differential Equation in the Infinite Dimensional Space and Its Application to the Filtering Problems

, 1972
Shiro Hata, Hiroshi Shibata, Shigeru Omatsu   +2 more
openalex   +2 more sources

On quantum stochastic differential equations with unbounded coefficients [PDF]

, 1990
Franco Fagnola
openalex   +1 more source

Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials

Advanced Materials Technologies, EarlyView.
This review highlights emerging fabrication techniques of 2D material‐based neuromorphic devices, emphasizing proximity vapor transfer for bioinspired optoelectronic applications. Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic ...
Shubham Umeshkumar Gupta, Malkeshkumar Patel, Naveen Kumar, László Pohl, Min‐Joon Park, Sung‐Min Youn, Chaewhan Jeong, Joondong Kim   +7 more
wiley   +1 more source

Emergent user behavior on Twitter modelled by a stochastic differential equation. [PDF]

PLoS One, 2015
Mollgaard A, Mathiesen J.
europepmc   +1 more source

Stochastic differential equations involving positive noise [PDF]

, 1991
Tom Lindstrøm, Bernt Øksendal, Jan Ubøe   +2 more
openalex   +1 more source

Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices

Advanced Materials Technologies, EarlyView.
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim, Joon‐Kyu Han, Janguk Han, Soo Hyung Lee, Dong Hoon Shin, Sunwoo Cheong, Sungho Kim, Hanyong Jeong, Yoon Ho Jang, Cheol Seong Hwang   +9 more
wiley   +1 more source

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source

Noncommutative stochastic processes with independent and stationary increments satisfy quantum stochastic differential equations [PDF]

, 1990
Michael Schürmann
openalex   +1 more source

Review of Coherent Anti‐Stokes Raman Scattering Nonresonant Background Removal and Phase Retrieval Approaches: From Experimental Methods to Deep Learning Algorithms

Advanced Photonics Research, EarlyView.
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley   +1 more source

Stochastic Differential Equations with Boundary Conditions [PDF]

, 1991
David Nualart, Étienne Pardoux
openalex   +1 more source