Internet of things : least interference beaconing algorithms by Tuyishimire, Emmanuel

“…The same principle has been applied in past research in the context of the IoT to reveal that the least interference beaconing protocol (LIBP); a protocol derived from the least interference beaconing algorithm (LIBA) outperforms the Collection Tree Protocol (CTP) and Tiny OS Beaconing (ToB) protocol, in terms of energy efficiency and lifetime of the sensor network. …”
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Evolutionary algorithms for routing problems with drones with interceptions by Ernst, Rudolf Heinrich

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State Estimation in Active Distribution Systems: Comparison Between Weighted Least Squares and Extended Kalman Filter Algorithms by Watitwa, Jeff Kimasere

“…The motivation of this research is to extend this work by comparing the performance of the Weighted Least Square (WLS) and the Extended Kalman Filter (EKF) state estimation algorithms in active DNs. …”
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Maximum likelihood estimation versus least-squares estimation in semi-continuous hidden Markov modelling by Lehmensiek, Robert

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Robust Constrained Partial Least Squares: A Robust Integrated Algorithm for Multivariate Regression in the Presence of Outliers, Interfering Analytes, and Structured External Influences

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The implementation of noise addition partial least squares by Moller, Jurgen Johann

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Valuing American Asian Options with Least Squares Monte Carlo and Low Discrepancy Sequences

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The modelling of IR emission spectra and solid rocket motor parameters using neural networks and partial least squares by Hamp, Niko

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Yield analysis optimization of microwave devices; antennas using non-linear partial-least-squares; polynomial chaos expansion by Klink, Dieter Gert

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Automata-based algorithms for detecting minisatellites and satellites

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Modelling algorithms for the South African telephone network by Engelbrecht, Andries Petrus

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Rank matrix cascade algorithm, hermite interpolation by Dongmo, Guy Blaise

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Algorithmic randomness on computable metric spaces and hyperspaces by Birch, Thomas

“…The aim of this generalization is to define algorithmic randomness on the hyperspace of non-empty compact subsets of a computable metric space, the study of which was first proposed by Barmpalias et al. [16] at the University of Florida in their work on the random closed subsets of the Cantor space. …”
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A polynomial time algorithm for prime recognition

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ADM1 Parameter Calibration Method based on partial least squares regression framework for industrial-scale anaerobic digestion modelling by Xu, Zhehua

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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…Due to the rapidly increasing prominence of Artificial Intelligence in the last decade and the advancements in technology such as processing power and data storage, there has been increased interest in applying machine learning algorithms to time series prediction problems. …”
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Channel estimation and tracking algorithms for vehicle to vehicle communications by Awad, Moustafa

“…Simulation results show that the proposed algorithms achieve improved performance for all the V2V channel models with different velocities, and for different modulation schemes and packet sizes as compared to the conventional least squares and other previously proposed channel estimation techniques for V2V channels.…”
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Online traffic engineering for MPLS networks by Botha, Marlene

Subjects: “…Least interference optimization algorithm (LIOA)…”
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Algorithmic component and system reliability analysis of truss structures by Hashemolhosseini, Sepehr

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