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Approximation methods

Graph neural networks for integrated information and major complex estimation

Tadaaki Hosaka

Stochastic modelling of delays and buffering in 5G-IoT ecosystems with programmable P4 switches based on BMAP

Viacheslav Kovtun, Maria Yukhimchuk, Jamil Abedalrahim Jamil Alsayaydeh, Dinara Berdysheva

On nonparametric estimating ROC curve based on non-uniform rational B-spline

Mahmut Sami Erdoğan

Optimizing control strategies for DC-DC boost converters: Real-time application of an adaptive gain scheduled ISA-PI controller with hybrid state-space and linear parameter-varying modelling

Cağfer Yanarateş

Reinsurance–investment game between two α-maxmin mean–variance insurers

Qian Zhang, Guoyong Zhou, Jing Fu

On the approximation of sum of lognormal for correlated variates and implementation

Asyraf Nadia Mohd Yunus, Nora Muda, Abdul Rahman Othman, Sonia Aïssa

An improved modeling approach to investigate biases in human random number generation

Tim Angelike, Jochen Musch

Asymptotic expansions as control variates for deep solvers to fully-coupled forward-backward stochastic differential equations

Makoto Naito, Taiga Saito, Akihiko Takahashi, Kohta Takehara

Continuous approximation and GIS-enhanced design optimization of feeder bus networks along rail corridors

Jiahe Liu, Rui Song

Estimation of the distribution function of a finite population utilizing auxiliary information in the context of non-response within complex survey sampling

Mohsin Abbas, Muhammad Ahmed Shehzad, Haris Khurram, Mahwish Rabia

Autonomous adaptive optimization of NMR experimental conditions for precise inference of minor conformational states of proteins based on chemical exchange saturation transfer

Takuma Kasai, Takanori Kigawa

A study of Mandelbrot and Julia Sets via Picard–Thakur iteration with s-convexity

Bashir Nawaz, Krzysztof Gdawiec, Kifayat Ullah, Maggie Aphane

Information criterion for approximation of unnormalized densities

John Y Choe, Yen-Chi Chen, Nick Terry

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