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learning algorithm » learning algorithms (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
data learning » deep learning (Expand Search)
a algorithm » _ algorithms (Expand Search), rd algorithm (Expand Search), jaya algorithm (Expand Search)
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561
Optimizing clopidogrel dose response
Published 2016“…A clinical-pharmacogenetic algorithm was developed based on whether clopidogrel shows 1) expected effect as per indication, 2) little or no effect, or 3) clinical features that patients experience and fit with clopidogrel adverse drug reactions. …”
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article -
562
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…This study will provide useful references for a wide range of future studies for developing accurate and practical wind power forecasting models.…”
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563
Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Published 2022“…This adaptation is illustrated for the bi-objective Minimum Weighted Vertex Cover Problem (MWVCP). In this work, a simple and effective bi-objective GRASP algorithm for the MWVCP is developed in the first stage. …”
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564
Indoor Localization Based on Floor Plans and Power Maps
Published 2015“…An indoor localization algorithm that is based on fingerprinting and trilateration is developed. …”
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conferenceObject -
565
DASSI: differential architecture search for splice identification from DNA sequences
Published 2022“…The proposed model - DASSI has a compact architecture and showed very good results on a transfer learning task. …”
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566
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
Published 2025“…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …”
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567
Software tool for regression testing. (c1997)
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masterThesis -
568
Multigrid solvers in reconfigurable hardware. (c2006)
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masterThesis -
569
Autonomous Demand-Side Management in the Future Smart Grid
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doctoralThesis -
570
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
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571
An optimal stochastic multivariable PID controller
Published 2019“…The system under consideration needs not be stable. A recursive algorithm providing optimal time-varying PID gains is proposed for the case where the number of inputs is larger than or equal to the number of outputs. …”
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572
Turbo-charging dominating set with an FPT subroutine
Published 2017“…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …”
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conferenceObject -
573
Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems
Published 2022“…This enables the use of a simple Perturb and Observe (P&O) algorithm to easily track GMPP. …”
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574
Bridge Structural Health Monitoring Using Mobile Sensor Networks
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doctoralThesis -
575
Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism
Published 2023“…<p dir="ltr">Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder in children. …”
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576
An aspect-oriented framework for systematic security hardening of software
Published 2008“…We realize our proposition by integrating into the GCC compiler few features described in the SHL weaving semantics and developing a demonstrative case study…”
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masterThesis -
577
Adaptive false discovery rate for wavelet denoising of pavement continuous deflection measurements
Published 2016“…The denoising methodology comprises a computational algorithm to identify significant features in a high-dimensional vector of observations containing white Gaussian noise. …”
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578
Assigning proctors to exams using scatter search. (c2006)
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masterThesis -
579
On the complexity of multi-parameterized cluster editing
Published 2017“…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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580
Computation of conformal invariants
Published 2020“…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
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article