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system algorithm » swarm algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
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Communications in electronic textile systems
Published 2017“…A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…”
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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …”
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A new approach and faster exact methods for the maximum common subgraph problem
Published 2017“…This structure contains a large number of naturally-ordered cliques that are present in the association graph’s complement. A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …”
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Prototype project management tool (PPMT) with cocomo calibration. (c1998)
Published 1998Get full text
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The maximum common subgraph problem
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Localizing-ground Transmitters Using Airborne Antenna Array
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
Published 2001“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. New approaches are needed to enhance the existing techniques, both to reduce execution time and improve fault coverage. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
Published 2001“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. New approaches are needed to enhance the existing techniques, both the reduce execution time and improve fault coverage. …”
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Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies
Published 2015“…First, our approach resolves the complexity of policies by elaborating an intermediate set-based representation to which the elements of XACML are automatically converted. Second, it allows to detect flaws, conflicts and redundancies between rules by offering new mechanisms to analyze the meaning of policy rules through semantics verification by inference rule structure and deductive logic. …”
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Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
Published 2006“…Adaptive tracking of nonlinear dynamic plants is an essential element of many control applications. The main difficulty felt in establishing the tracking of nonlinear dynamic plants is the computational complexity in controller design. …”
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A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
Published 2008“…These attempts suffered from a major drawback which is the almost full Jacobian matrix of the nonlinear system of equations. This work presents a new approach for solving the fully coupled isothermal elastohydrodynamic problem using a finite element discretization of the corresponding equations. …”
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Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…In this paper, we describe a new approach for XML keyword search aiming to solve the limitations mentioned above. …”
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An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems
Published 2017“…As such, it is exact and it preserves the generality of the solution scheme while reducing the size of its corresponding model and, consequently, the associated computational overhead. The technique is complemented with a splitting algorithm to alleviate the hurdle of solving an arising semidense matrix system. …”
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On the complexity of multi-parameterized cluster editing
Published 2017“…As a byproduct, we obtain a kernelization algorithm that delivers linear-size kernels when the two edge-edit bounds are small constants.…”
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