Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7416
Abstract: The article presents an innovative approach to simultaneously estimate states and unknown inputs (UIs) in nonlinear systems using a particle filter (PF) based recursive expectation‐maximization (EM) algorithm. This method is distinct from traditional iterative EM… read more here.
Keywords: nonlinear systems; based recursive; particle filter; algorithm ... See more keywords
Online Multistage Subset Maximization Problems
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DOI: 10.1007/s00453-021-00834-7
Abstract: Numerous combinatorial optimization problems (knapsack, maximum-weight matching, etc.) can be expressed as subset maximization problems: One is given a ground set $$N=\{1,\dots ,n\}$$ , a collection $$\mathcal {F}\subseteq 2^N$$ of subsets thereof such that $$\emptyset… read more here.
Keywords: maximization problems; multistage subset; online multistage; maximization ... See more keywords
Maximization of the sensor network lifetime by activity schedule heuristic optimization
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2019.101994
Abstract: Abstract Wireless Sensor Networks (WSNs) consist of a set of devices with limited energy capacity, therefore the longevity of the network can be one of the decisive quality parameters of WSNs. We study the problem… read more here.
Keywords: network; schedule; lifetime; sensor ... See more keywords
An evolutionary stable strategy for retailers selling complementary goods subject to indirect network externalities
Sign Up to like & getrecommendations! Published in 2017 at "Economic Modelling"
DOI: 10.1016/j.econmod.2016.12.021
Abstract: A two-population evolutionary game model is constructed for retailers and used to investigate the effect of indirect network externalities (INEs) and product complementarity on the strategic choice of marketing objective of the retailers. The results… read more here.
Keywords: marketing objective; network externalities; strategy; indirect network ... See more keywords
Wind farm distributed PSO-based control for constrained power generation maximization
Sign Up to like & getrecommendations! Published in 2019 at "Renewable Energy"
DOI: 10.1016/j.renene.2018.09.084
Abstract: A novel distributed approach to treat the wind farm (WF) power maximization problem accounting for the wake interaction among the wind turbines (WTs) is presented. Power constraints are also considered within the optimization problem. These… read more here.
Keywords: wind farm; problem; power; maximization ... See more keywords
Wearable Plasmonic Sensors Engineered via Active-Site Maximization of TiVC MXene for Universal Physiological Monitoring at the Molecular Level.
Sign Up to like & getrecommendations! Published in 2024 at "ACS sensors"
DOI: 10.1021/acssensors.3c02285
Abstract: Two-dimensional transition metal carbon/nitrides (MXenes) are promising candidates to revolutionize next-generation wearable sensors as high-performance surface-enhanced Raman scattering (SERS) substrates. However, low sensitivity of pure MXene nanosheets and weak binding force or uncontrolled in situ… read more here.
Keywords: level; mxene; maximization; tivc ... See more keywords
Criteria maximization for water as well as fertilizer management system using neural network and hybrid PID control
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DOI: 10.1038/s41598-025-14637-1
Abstract: Manual fertilization is still used to grow rice, wheat, and maize. Chemical fertilizers come from fertilizer waste and environmental impacts. PID control, which stands for proportional integral derivative, is the main control technique used to… read more here.
Keywords: control; water; maximization; pid control ... See more keywords
Distinct neural activations correlate with maximization of reward magnitude versus frequency.
Sign Up to like & getrecommendations! Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhac482
Abstract: Choice selection strategies and decision-making are typically investigated using multiple-choice gambling paradigms that require participants to maximize expected value of rewards. However, research shows that performance in such paradigms suffers from individual biases towards the… read more here.
Keywords: frequency; reward; maximization; reward magnitude ... See more keywords
Investigation of the ensemble of maximal center gauge
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DOI: 10.1103/physrevd.110.014501
Abstract: The maximal center gauge aims to detect center vortices by maximizing a gauge functional and then projecting onto the center elements of the respective group. The requirement for unrestricted maximization of the gauge functional has… read more here.
Keywords: investigation ensemble; center gauge; maximization; maximal center ... See more keywords
Relieving the regret for maximizers
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DOI: 10.1108/ejm-03-2018-0200
Abstract: Prior research consistently found maximizers to experience greater regret over their choice than satisficers. Moreover, research also found maximizers to be trapped in a “maximization-regret-maximization” cycle. This paper aims to assess the role of construal… read more here.
Keywords: research; non comparable; product; choice ... See more keywords
Fast Budgeted Influence Maximization Over Multi-Action Event Logs
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DOI: 10.1109/access.2018.2809547
Abstract: In a social network, influence maximization is the problem of identifying a set of users that own the maximum influence ability across the network. In this paper, a novel credit distribution (CD)-based model, termed as… read more here.
Keywords: streaming algorithm; influence maximization; mcd model; influence ... See more keywords