Results 191 to 200 of about 37,662 (254)

A Nomadic Infrastructure with Hierarchical Block Tracking and Surveillance Resolution in Satellite Networks. [PDF]

Sensors (Basel)
Kim M, Ben-Othman J, Mokdad L, Bellavista P, Kim H.   +4 more
europepmc   +1 more source

How basic public health services shape social integration: Evidence from domestic migrants in China. [PDF]

PLoS One
Zhao J, Zhu X, Gu Z, Zheng S, Jiang Z.
europepmc   +1 more source

Machine learning based on clinical and gene expression data assists in survival prediction and treatment optimization for diffuse large B-Cell lymphoma patients. [PDF]

Ann Hematol
Lin J, Lv W, Cai H, Nie Q, Zeng J, Lin K, Lin Q, Wen X, Li Y, Su R.   +9 more
europepmc   +1 more source

Synthesis of Chromium(IV) Nitrides Through High-Spin Tetrahedral Chromium(I) Intermediates. [PDF]

Inorg Chem
Panetti GB, Pecoraro MV, Li R, Kim J, Hierlmeier G, Chirik PJ.   +5 more
europepmc   +1 more source

Study on the driving mechanism of cultivated land change in the urban-rural fringe with Bayesian network modeling. [PDF]

Sci Rep
Wang J, Zhu Z, Chen M, Zhang Y.
europepmc   +1 more source

GEMDAT: A Python Toolkit for Site-Resolved Diffusion Analysis in Solid-State Molecular Dynamics

Lavrinenko AK, Famprikis T, Landgraf V, Heringa JR, Smeets S, Azizi V, Ciarella S, Wagemaker M, Vasileiadis A.   +8 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Determination of Basic Probability Assignment Based on Probability Distribution

2020 39th Chinese Control Conference (CCC), 2020
In the application of Dempster-Shafer (D-S) evidence theory, the determination of basic probability assignment (BPA) is a key step. How to determine BPA is an open issue. To solve this problem, a new method to determine BPA based on probability distribution is proposed in this paper.
Hongfeng Chen, Xin Wang
openaire   +1 more source

The Negation of a Basic Probability Assignment

IEEE Transactions on Fuzzy Systems, 2019
In the field of information science, how to represent the uncertain information is still an open issue. The negation is an important way to represent the information. However, existing negation method has the limitations since it can only be applied to the probability distributions.
Likang Yin, Xinyang Deng, Yong Deng
openaire   +1 more source