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81
A kernelization algorithm for d-Hitting Set
Published 2010“…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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82
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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83
Artificial neural network algorithms. (c1999)
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masterThesis -
84
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
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doctoralThesis -
85
An L2 Gap Metric Identification Algorithm
Published 2020“…Each iteration of the algorithm involves solving a weighted least squares approximation problem. …”
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86
Natural optimization algorithms for optimal regression testing
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87
Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …”
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88
A New Parallel Genetic Algorithm Model
Published 2020“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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89
A multi-pretraining U-Net architecture for semantic segmentation
Published 2025“…For the validation of the proposed model, we used data from 21,000 cell nuclei at a resolution of 1000 by 1000 pixels. …”
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90
Resilience analytics: coverage and robustness in multi-modal transportation networks
Published 2018“…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …”
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91
A new genetic algorithm approach for unit commitment
Published 1997“…The problem under consideration includes two linked subproblems: a combinatorial optimization problem and a nonlinear programming problem. The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
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92
A genetic algorithm for testable data path synthesis
Published 2017“…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …”
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conferenceObject -
93
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements
Published 2023“…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …”
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94
Simultaneous stabilization of multimachine power systems viagenetic algorithms
Published 1999“…This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. …”
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95
An exact algorithm for connected red–blue dominating set
Published 2011“…We use our algorithm to solve the Connected Dominating Set problem in O⁎(n1.8619). …”
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96
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
97
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
Published 2022“…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. …”
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98
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
Published 2005“…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …”
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99
A neural networks algorithm for data path synthesis
Published 2003“…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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100
Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …”
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