Articles with "regressor" as a keyword



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Probabilistic Regressor Chains with Monte Carlo Methods

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.05.024

Abstract: A large number and diversity of techniques have been offered in the literature in recent years for solving multi-label classification tasks, including classifier chains where predictions are cascaded to other models as additional features. The… read more here.

Keywords: probabilistic regressor; carlo methods; regressor; monte carlo ... See more keywords

Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-77396-5

Abstract: This paper presents a non-linear finite element model (FEM) to predict the load-carrying capacity of three different configurations of elliptical concrete-filled steel tubular (CFST) short columns: double steel tubes with sandwich concrete (CFDST), double steel… read more here.

Keywords: regressor; steel; short columns; usepackage ... See more keywords

PALReg: Polarization-Aspect Fusion Lightweight Regressor for Micromotion Cone-Shaped Objects

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Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3490184

Abstract: The Doppler effect is essential for confirming aerial cone-shaped objects. However, individual radars are limited in the detection and analysis capabilities due to the viewing angles and polarization. PALReg, a deep learning (DL)-based approach, leverages… read more here.

Keywords: regressor; micromotion; cone shaped; polarization ... See more keywords

Signed Orthogonal Regressor Algorithm for Digital Predistortion of Power Amplifiers

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Published in 2021 at "IEEE Microwave and Wireless Components Letters"

DOI: 10.1109/lmwc.2021.3076392

Abstract: Digital predistortion (DPD) of broadband power amplifiers (PAs) requires a large number of parameters to compensate for the severe nonlinear distortion, which may cause considerable computational complexity in the DPD parameter identification process. To solve… read more here.

Keywords: orthogonal regressor; signed orthogonal; regressor algorithm; power amplifiers ... See more keywords

Composite Adaptive Attitude Control of Asteroid-Orbiting Spacecraft With Regressor Integral Excitation

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Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2022.3164011

Abstract: This article (correspondence) develops a composite adaptive control system for the attitude trajectory tracking of a spacecraft in elliptic orbit around a uniformly rotating asteroid. It is assumed that the spacecraft’s moment of inertia and… read more here.

Keywords: spacecraft; excitation; regressor; control ... See more keywords

Enhanced antitumor immunity through sequential targeting of PI3Kδ and LAG3

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Published in 2020 at "Journal for Immunotherapy of Cancer"

DOI: 10.1136/jitc-2020-000693

Abstract: Background Despite striking successes, immunotherapies aimed at increasing cancer-specific T cell responses are unsuccessful in most patients with cancer. Inactivating regulatory T cells (Treg) by inhibiting the PI3Kδ signaling enzyme has shown promise in preclinical… read more here.

Keywords: pi3k; pi3k lag3; lag3; regressor ... See more keywords

Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete

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Published in 2022 at "Polymers"

DOI: 10.3390/polym14183906

Abstract: In this study, compressive strength (CS) of fiber-reinforced nano-silica concrete (FRNSC) was anticipated using ensemble machine learning (ML) approaches. Four types of ensemble ML methods were employed, including gradient boosting, random forest, bagging regressor, and… read more here.

Keywords: regressor; fiber; nano silica; adaboost regressor ... See more keywords