Results 21 to 30 of about 758,034 (91)
Voter models on subcritical scale‐free random graphs
Random Structures &Algorithms, Volume 62, Issue 2, Page 376-429, March 2023., 2023 Abstract The voter model is a classical interacting particle system modelling how consensus is formed across a network. We analyze the time to consensus for the voter model when the underlying graph is a subcritical scale‐free random graph. Moreover, we generalize the model to include a “temperature” parameter controlling how the graph influences the ...
John Fernley, Marcel Ortgiese
wiley +1 more source
Representations of modified type 2 degenerate poly-Bernoulli polynomials
AIMS Mathematics, 2022 <abstract><p>Research on the degenerate versions of special polynomials provides a new area, introducing the $ \lambda $-analogue of special polynomials and numbers, such as $ \lambda $-Sheffer polynomials. In this paper, we propose a new variant of type 2 Bernoulli polynomials and numbers by modifying a generating function.
Jongkyum Kwon +3 more
openaire +2 more sources
Universal prediction band via semi‐definite programming
Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 4, Page 1558-1580, September 2022., 2022 Abstract We propose a computationally efficient method to construct nonparametric, heteroscedastic prediction bands for uncertainty quantification, with or without any user‐specified predictive model. Our approach provides an alternative to the now‐standard conformal prediction for uncertainty quantification, with novel theoretical insights and ...
Tengyuan Liang
wiley +1 more source
Global Challenges, Volume 6, Issue 6, June 2022., 2022 This research proposes the easiest, cheapest, and sustainable route to produce biogas. Chicken feather is used to enhance the biogas quality and quantity from the anaerobic digestion of human excreta. The use of human excreta is found to be the most sustainable due to the human population. Abstract It has been proposed that providing energy for cooking
Moses E. Emetere +2 more
wiley +1 more source
On the possible benefits of deep learning for spectral preprocessing
Journal of Chemometrics, Volume 36, Issue 2, February 2022., 2022 This study compares classical and deep learning (DL)‐based spectral preprocessing. Experiments were performed to find combinations of preprocessing and predictive modelling that are sensible for “chemometric size” datasets. The study includes a discussion about a possible overkill of applying DL preprocessing in light of the simple relations given by ...
Runar Helin +3 more
wiley +1 more source
Correction: Kim, T.; Khan, W.A.; Sharma, S.K.; Ghayasuddin, M. A Note on Parametric Kinds of the Degenerate Poly-Bernoulli and Poly-Genocchi Polynomials. Symmetry 2020, 12(4), 614 [PDF]
Symmetry, 2020 (This article belongs to the Special Issue Current Trends in Symmetric Polynomials with Their Applications Ⅱ) [...]
Taekyun Kim +3 more
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Identities of Degenerate Poly‐Changhee Polynomials Arising from λ‐Sheffer Sequences
Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022 In the 1970s, Gian‐Carlo Rota constructed the umbral calculus for investigating the properties of special functions, and by Kim‐Kim, umbral calculus is generalized called λ‐umbral calculus. In this paper, we find some important relationships between degenerate Changhee polynomials and some important special polynomials by expressing the Changhee ...
Sang Jo Yun +2 more
wiley +1 more source
A Performance Comparison of Classification Algorithms for Rose Plants
Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022 One of the key roles of Botanists is to be able to recognize flowers. This role has become highly challenging given that the number of discovered flower types are nearing half a million. To support Botanists, Information Technology offers promising solutions.
Muzamil Malik +5 more
wiley +1 more source
A note on degenerate poly-Genocchi numbers and polynomials
Advances in Difference Equations, 2020 Recently, some mathematicians have been studying a lot of degenerate versions of special polynomials and numbers in some arithmetic and combinatorial aspects. Our research is also interested in this field.
Hye Kyung Kim, Lee-Chae Jang
doaj +1 more source
Novel Based Ensemble Machine Learning Classifiers for Detecting Breast Cancer
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Nowadays, for many industries, innovation revolves around two technological improvements, Artificial Intelligence (AI) and machine learning (ML). ML, a subset of AI, is the science of designing and applying algorithms that can learn and work on any activity from past experiences.
Taarun Srinivas +7 more
wiley +1 more source