Results 281 to 290 of about 281,740 (353)
Theoretical Justification of Wavelength Selection in PLS Calibration: Development of a New Algorithm
The mathematical basis of improved calibration through selection of informative variables for partial least-squares calibration has been identified. A theoretical investigation of calibration slopes indicates that including uninformative wavelengths negatively affect calibrations by producing both large relative bias toward zero and small additive bias
Clifford H. Spiegelman +5 more
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Theoretical Development of a Modified RANSAC Algorithm for Identifying Outliers in Road Surface Data
Modeling and simulation of vehicles can be improved by using actual road surface data acquired by Road Surface Measurement Systems. Due to inherent properties of the sensors used, the data acquired is often ridden with outliers. This work addresses the issue of identifying and removing outliers by extending the robust outlier rejection algorithm ...
Savio Pereira +2 more
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Abstract This paper investigates a traffic volume control scheme for a dynamic traffic network model which aims to ensure that traffic volumes on specified links do not exceed preferred levels. The problem is formulated as a dynamic user equilibrium problem with side constraints (DUE-SC) in which the side constraints represent the restrictions on the
Renxin Zhong +3 more
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The study of organizational and economic mechanisms of the development of agricultural formations is an urgent task in the context of modern challenges of agriculture. This article analyzes the organizational and economic mechanisms of the development of agricultural formations in view of their theoretical content, interaction algorithm and potential ...
Pavlo Aksenko
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AbstractA new and simple computational algorithm for obtaining suboptimal singular and/or bang‐bang solutions of typical lumped and distributed parameter control problems is proposed. The algorithm is based on the piecewise maximization of the Hamiltonian and a limiting process utilizing a penalty function of the control variables.
Naoki Nishida +3 more
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Molecular Descriptor Subset Selection in Theoretical Peptide Quantitative Structure–Retention Relationship Model Development Using Nature-Inspired Optimization Algorithms [PDF]
In this work, performance of five nature-inspired optimization algorithms, genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC), firefly algorithm (FA), and flower pollination algorithm (FPA), was compared in molecular descriptor selection for development of quantitative structure-retention relationship (QSRR) models ...
Petar Žuvela +3 more
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Abstract Two history matching methods for subsurface characterization are proposed based on the simulated annealing (SA) algorithm with 1) an unconditional geostatistical simulation (i.e., SA-US) and 2) a radial basis function network (i.e., SA-RBFN) as random-walk transition kernels.
Jina Jeong, Eungyu Park
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Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
International Conference on Artificial Intelligence and Statistics, 2023Byzantine robustness is an essential feature of algorithms for certain distributed optimization problems, typically encountered in collaborative/federated learning.
Ahmad Rammal +4 more
semanticscholar +1 more source
Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
Advances in Optics and Photonics, 2023This tutorial-review on applications of artificial neural networks in photonics targets a broad audience, ranging from optical research and engineering communities to computer science and applied mathematics.
Pedro J. Freire +3 more
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