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A Generalized Data-Weighted Averaging Algorithm
This brief presents a definition to a general data-weighted averaging algorithm that realizes D/A converter (DAC) mismatch shaping transfer function of the form 1 ± z - D. The mathematical background of the transfer function leads to an intuitive algorithm realized as a simple fixed-point simulation model that converges into a hardware-efficient ...
Marko Neitola, Timo Rahkonen
exaly +2 more sources
Different operators via weighted averaging and geometric approach using trigonometric neutrosophic interval-valued set and its extension [PDF]
This work presents a new method for generating tangent trigonometric neutrosophic interval-valued sets. This article will cover tangent trigonometric neutrosophic interval-valued weighted averaging, geometric, generalized notions.
Raed Hatamleh +3 more
doaj +4 more sources
In multi-attribute decision making (MADM), complex situations often arise where decision attributes are interval-valued hesitant fuzzy numbers (IVHFNs) and the attributes are interrelated.
Jiayou Shen, Nan Yang, Hejun Liang
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Diverse Weight Averaging for Out-Of-Distribution Generalization
Standard neural networks struggle to generalize under distribution shifts in computer vision. Fortunately, combining multiple networks can consistently improve out-of-distribution generalization. In particular, weight averaging (WA) strategies were shown to perform best on the competitive DomainBed benchmark; they directly average the weights of ...
Rame, Alexandre +5 more
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Generalized Averaged Gaussian Formulas for Certain Weight Functions [PDF]
In this paper we analyze the generalized averaged Gaussian quadrature formulas and the simplest truncated variant for one of them for some weight functions on the interval [0, 1] considered by Milovanović in [10]. We shall investigate internality of these formulas for the equivalents of the Jacobi polynomials on this interval and, in some special cases,
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Ergodic averages with generalized weights [PDF]
Two types of weighted ergodic averages are studied. It is shown that if F = {Fn} is an admissible superadditive process relative to a measure preserving transformation, then a Wiener-Wintner type result holds forF. Using this result new good classes of weights generated by such processes are obtained.
Doğan Çömez, Semyon N. Litvinov
openaire +1 more source
Weighted averages in population annealing: Analysis and general framework
Population annealing is a powerful sequential Monte Carlo algorithm designed to study the equilibrium behavior of general systems in statistical physics through massive parallelism. In addition to the remarkable scaling capabilities of the method, it allows for measurements to be enhanced by weighted averaging, admitting to reduce both systematic and ...
Paul L. Ebert +2 more
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Air Pollution Model using Neutrosophic Cubic Einstein Averaging Operators [PDF]
The neutrosophic cubic averaging and Einstein averaging aggregation operators are presented and applied to the air pollution model of the city of Peshawar, Pakistan. Neutrosophic cubic set (NCS) is a more generalized version of the neutrosophic set (NS)
Majid Khan +3 more
doaj +1 more source
Inverse fractional function setting sine trigonometric neutrosophic set approach to interaction aggregating operators [PDF]
In this paper we present novel techniques for the interacting aggregating operator of the inverse fractional function sine trigonometric neutrosophic set. Swapping the input and output variables and solving for the original input variable in terms of the
Murugan Palanikumar +2 more
doaj +1 more source
Complex q-rung orthopair fuzzy set (CQROFS) contains the grade of supporting and the grade of supporting against in the form of polar coordinates belonging to unit disc in a complex plane and is a proficient technique to address awkward information ...
Zeeshan Ali, Tahir Mahmood, Abdu Gumaei
doaj +1 more source

