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Integrating data collection optimization into pavement management systems
Published 2017“…This paper describes a method for using location data to optimize the routing of pavement data collection vehicles. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. Additionally, our proposed model optimizes the features using a genetic algorithm. …”
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Optimizing patellar positioning during total knee arthroplasty
Published 2017“…Medialization of the prosthetic patella has been recommended; however, no evidence-based guidelines have been reported. Material and method This anatomical study aims to quantify a pre-defined optimal location for positioning of the patellar component with regard to the centre of the patellar cut. …”
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Optimization of p-chart for Processes with Multiple Assignable Causes and Random Shift
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
Published 2020“…An extensive experimentation is carried out to optimize twelve benchmark functions using the proposed Multi-Cluster Jumping PSO and a significant difference is observed in the convergence speed of the proposed method over the existing state-of-the-art approaches.…”
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A review on recent developments in control and optimization of micro grids
Published 2022“…As the grid is moving towards optimal design of microgrid structures this manuscript reviews a number of optimization techniques along with their benefits and drawbacks.…”
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A practical routing model for optimized pavement data collection
Published 2017“…The routing of these vehicles, however, is often managed in an ad hoc manner with significant expense. This paper introduces a practical optimization method for designing the routes of pavement data collection equipment. …”
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A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2022“…Due to the complexity of ELD search space, as it is rigid and deep, the exploitation of HHO is improved by hybridizing it with a recent local search method called adaptive-hill climbing. The HHO can navigate several potential search space regions, while adaptive-hill climbing is used to deeply search for the local optimal solution in each potential region. …”
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An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. …”
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Optimizing the Cleaning Frequency of Solar Photovoltaic (PV) systems Using Numerical Analysis
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. …”
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A Framework for Project Time-Cost Optimization Considering Float Consumption Impact
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Published 2024“…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …”
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Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems
Published 2023“…Computational experiments show that this new structure is significantly more efficient than basic structures. To further improve the performance of this method, the use of GCN ensembles is also explored. …”
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Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies
Published 2021“…VISTA and AHR levels were assessed by qPCR, Western blot, immunofluorescence microscope, flow cytometry, and immunohistochemistry. Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
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On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq
Published 2024“…<p dir="ltr">This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. …”
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Analysis of combustion synthesis method for Cu/CeO2 synthesis by integrating thermodynamics and design of experiments approach
Published 2022“…Solution combustion synthesis (SCS) is a commonly used method for synthesizing nanomaterials due to its energy and time efficiency. …”
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