Results 91 to 100 of about 178,633 (271)

Recursions for Convolutions of Arithmetic Distributions [PDF]

ASTIN Bulletin, 1985
AbstractA simple recursion for the n-fold convolution of an arithmetic distribution with itself is developed and its relation to Panjer's algorithm for compound distributions is shown.
openaire   +1 more source

Reducing Open‐Circuit Voltage Losses in Wide‐Bandgap FAPbBr3 Perovskite Solar Cells for Continuous Unassisted Light‐Driven Water Splitting

Advanced Functional Materials, EarlyView.
The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini, Daniël Grosfeld, Bruno Branco, Guus J. W. Aalbers, Lana M. Kessels, Willemijn H. M. Remmerswaal, Nicolas Daub, Kunal Datta, Martijn M. Wienk, René A. J. Janssen   +9 more
wiley   +1 more source

Coordinated Multi‐Component Gradient Engineering of Catalyst Layers for Advanced Polymer Electrolyte Fuel Cells

Advanced Functional Materials, EarlyView.
This work presents a continuous linear gradient catalyst layer design, a general strategy for improving membrane electrode assemblies across electrochemical devices. Fabricated via a dual‐nozzle spray coating method, the architecture controls the Pt/carbon ratio, ionomer content and ionomer type across the catalyst layer, enhancing proton conduction ...
Shangwei Zhou, Matt P. Tudball, Yiming Guo, Bia Brandt, Adam Zucconi, Wenjia Du, Junfu Bu, Daniel H. C. Wan, Jianuo Chen, Emanuele Magliocca, Feng Ryan Wang, Alexander J.E. Rettie, Patrick S. Grant, Paul R. Shearing, Rhodri Jervis, Thomas S. Miller   +15 more
wiley   +1 more source

Generating Cell Surface Nucleated Hydrogels with an Artificial Membrane‐Binding Transglutaminase

Advanced Functional Materials, EarlyView.
Cell‐based therapies require advanced strategies to enhance cell delivery and bioactivity. Cell membrane engineering offers an avenue to impart new functions to delivered cells to boost their viability and function. Here, an artificial membrane‐binding transglutaminase is generated and biophysically characterized.
Rosalia Cuahtecontzi Delint, Tao Li, Kapil D. Patel, Will H. Zhang, Ben M. Carter, Graham J. Day, Adam W. Perriman   +6 more
wiley   +1 more source

The convolution of functions and distributions

Journal of Mathematical Analysis and Applications, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fisher, Brian, Taş, Kenan
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Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Singular-Value-Decomposition-Based Matrix Surgery

Entropy
This paper is motivated by the need to stabilise the impact of deep learning (DL) training for medical image analysis on the conditioning of convolution filters in relation to model overfitting and robustness.
Jehan Ghafuri, Sabah Jassim
doaj   +1 more source

Una nueva expresión acerca del producto de convolución de la derivada de orden k de la delta de Dirac en IxI2-M2

Nexo, 2010
In this paper, we obtain a expansion in series (type Taylor) of distribution (formula) and give a new expression for the convolution product of (formula) Other expressions of that product appear in ([5]).
M. Aguirre
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Convolutions of Distributions Attracted to Stable Laws

The Annals of Mathematical Statistics, 1968
This paper deals with the domains of attraction of the stable distributions and the normalizing coefficients associated with distributions in those domains of attraction. Using the notation $F \varepsilon \mathscr{D}(\alpha)$ and $F \varepsilon \mathscr{D}_\mathscr{N}(\alpha)$ to mean that the distribution function $F$ is in the domain of attraction ...
openaire   +2 more sources