Results 181 to 190 of about 6,670,018 (306)

Diffusion semantic segmentation model: A generative model for medical image segmentation based on joint distribution. [PDF]

Med Phys
Liu T, Li J, Torigian DA, Tong Y, Xiong Q, Zhang K, Udupa JK.   +6 more
europepmc   +1 more source

Joint distribution for number of crossings and longest run in independent Bernoulli observations. The R package crossrun. [PDF]

PLoS One, 2019
Wentzel-Larsen T, Anhøj J.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Centre de Documentation Juive Contemporaine Collection 1941-1944

This collection consists of photocopies of memos and reports of the German occupying forces in France concerning deportations and other measures against Jews living in France.
American Jewish Joint Distribution Committee, Centre de documentation juive contemporaine   +1 more
core  

Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height. [PDF]

Entropy (Basel), 2019
Liu G, Chen B, Jiang S, Fu H, Wang L, Jiang W.   +5 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing under data-driven. [PDF]

PLoS One
Zhu M, Zhou X, Wang X.
europepmc   +1 more source

On the joint distribution of tree height and tree length under the coalescent. [PDF]

Theor Popul Biol, 2018
Arbisser IM, Jewett EM, Rosenberg NA.
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Optimization of "vehicle-UAV" joint distribution routing for cold chain logistics considering risk of epidemic spreading and green cost. [PDF]

PLoS One
Liu G, Liu Q, Guo H, Xiang M, Sang J.
europepmc   +1 more source