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Inelastic analysis of composite sections
Published 2004“…This paper describes the development of a numerical algorithm used for the inelastic analysis of composite sections subjected to combined axial force and bending moment. …”
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Discretization of crack propagation on parallel computing : complexity and parallel algorithms with source code
Published 2010“…The mathematical model was developed by using the relationship between the forces applied to the individual elements and the nodal displacements. …”
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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Using the dynamic programming algorithm developed, the model was also able to recalculate alternative schedules by replacing unavailable teams with other teams to avoid delays. …”
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An application of Dijkstra’s algorithm model in finding shortest travel time in KLCC
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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An improvement on the valiantbrebner hypercube data broadcasting technique / Nasaruddin Zenon
Published 1990“…In Section 3.0 we will propose a modification to the V-B algorithm. …”
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Dynamic replication algorithm in data grid: Survey
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Inverse modeling of mass transferprocess in the RDC column by fuzzy approach
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A Proposed Biologically Inspired Model for Object Recognition
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Seismic wave modeling and high-resolution imaging
Published 2022“…The wave-modeling and imaging algorithm is implemented on two velocity models: the Marmousi model and the Sigsbee model. …”
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Model Identification Using Neuro-Fuzzy Approach
Published 2018“…Last section of the chapter deals with three different model training algorithms Least squares based, back-propagation and particle swarm optimization. …”
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Model Identification Using Neuro-Fuzzy Approach
Published 2018“…Last section of the chapter deals with three different model training algorithms Least squares based, back-propagation and particle swarm optimization. …”
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Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant
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