Results 81 to 90 of about 844,595 (275)

Numerical Solutions of Hamilton-Jacobi Inequalities by Constrained Gaussian Process Regression

SICE Journal of Control, Measurement, and System Integration, 2018
This paper proposes numerical solutions of Hamilton-Jacobi inequalities based on constrained Gaussian process regression. While Gaussian process regression is a tool to estimate an unknown function from its input and output data conventionally, the ...
Kenji Fujimoto, Hirofumi Beppu, Yuji Takaki   +2 more
doaj   +1 more source

Machine-Learning Methods for Computational Science and Engineering

Computation, 2020
The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
Michael Frank, Dimitris Drikakis, Vassilis Charissis   +2 more
doaj   +1 more source

Distribution of Electrical Resistivity in Single Carbon Fiber Filaments and Its Correlation With Tensile Modulus

Advanced Engineering Materials, EarlyView.
A statistical framework is applied to quantify the distribution of electrical resistivity among individual filaments of two commercially available carbon fiber types. Correlations between filament resistivity, tensile modulus, and diameter are examined and complemented by TEM analysis to provide new insight into filament‐level variability relevant for ...
Nils Wieja, Daniel Sebastian Wolz, Philip Johannes Steinbild, Markus Löffler, Darius Pohl, Jan Wolf, Anja Winkler, Thomas Behnisch, Bernd Rellinghaus, Maik Gude   +9 more
wiley   +1 more source

Gaussian Process Synthesis of Artificial Sounds

Applied Sciences, 2020
In this paper, we propose Gaussian Process (GP) sound synthesis. A GP is used to sample random continuous functions, which are then used for wavetable or waveshaping synthesis.
Aristotelis Hadjakos
doaj   +1 more source

A Multiscale Guide to Brownian Motion

, 2015
We revise the Levy's construction of Brownian motion as a simple though still rigorous approach to operate with various Gaussian processes. A Brownian path is explicitly constructed as a linear combination of wavelet-based "geometrical features" at ...
Beliaev, Dmitry, Grebenkov, Denis S., Jones, Peter W.   +2 more
core   +1 more source

Enhancing Optoelectronic Properties in Phthalocyanine‐Based SURMOFs: Synthesis of ABAB Linkers by Avoiding Statistical Condensation with Tailored Building Blocks

Advanced Functional Materials, EarlyView.
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer, Mareen Stahlberger, Xiaojing Liu, Yi Luo, Niklas E. Häußermann, Puja Singhvi, Yidong Liu, Olaf Fuhr, Martin Nieger, Lars Heinke, Thomas Heine, Christof Wöll, Stefan Bräse   +12 more
wiley   +1 more source

Multi-target tracking of birds in complex low-altitude airspace based on GM_PHD filter

The Journal of Engineering, 2019
GM_PHD (Gaussian mixture of probability hypothesis density) cannot completely track multiple targets, such as the flying birds in the complex low-altitude airspace near the airport, due to the lack of the steps of birth detection, track extraction and ...
Tao Hong, Wu Zhang, Weishi Chen, Xiaolong Chen, Xinru Fu   +4 more
doaj   +1 more source

Organic Electrochemical Transistor Channel Materials: Copolymerization Versus Physical Mixing of Glycolated and Alkoxylated Polymers

Advanced Functional Materials, EarlyView.
This work discusses the use of blended channel materials in OECTs. It explores how mixing glycolated and alkoxylated polymers in various ratios offers a simpler and more efficient route to tuning OECT properties. The performance of the polymer blends is compared to the corresponding copolymers, demonstrating similar OECT characteristics, swelling ...
Lize Bynens, Kaishuai Zhang, Priscila Cavassin, Arwin Goossens, Jochen Vanderspikken, Tania C. H. Castillo, Demetra Tsokkou, Adam Marks, Arianna Magni, Karrie Weaver, Laurence Lutsen, Sahika Inal, Koen Vandewal, Natalie Banerji, Wouter Maes   +14 more
wiley   +1 more source

Performance Assessment of a Wind Turbine Using SCADA based Gaussian Process Model

International Journal of Prognostics and Health Management, 2018
Loss of wind turbine power production identified through performance assessment is a useful tool for effective condition monitoring of a wind turbine. Power curves describe the nonlinear relationship between power generation and hub height wind speed and
Ravi Kumar Pandit, David Infield
doaj   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source