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Performance analysis of text classification algorithms for PubMed articles
Published 2022“…This research provides a case study which compares the performance of several different machine learning algorithms (Topic Modelling, Random Forest, Logistic Regression, Support Vector Classifiers, Multinomial Naive Bayes, Convolutional Neural Network and Long Short-Term Memory (LSTM)) in reproducing manually assigned MeSH annotations. …”
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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant
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Resource scheduling algorithm for maintenance planning
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Time-cost-quality trade-off analysis for construction projects
Published 2010“…For the aforementioned purpose, three various Microsoft Excel based TCQT models have been developed as follows: • First, a simplified model is developed with the objective of optimizing the total duration, cost, and quality of simple construction projects utilizing the GA-based Excel add in Evolver. • Second, a stochastic model is developed with the objective of optimizing the total duration, cost, and quality of construction projects applying the PERT approach in order to consider uncertainty associated with the performance of execution options and the whole project. • Third, an advanced multi objective optimization model is developed utilizing a self-developed optimization tool having the following capabilities: 1. …”
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Channel estimation and tracking algorithms for vehicle to vehicle communications
Published 2015“…The proposed algorithms utilize the finite alphabet property of the transmitted symbol, time domain truncation, decision-directed as well as pilot information. …”
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IGP traffic engineering : a comparison of computational optimization algorithms
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Comparative analysis of time steps distribution in Runge-Kutta algorithms
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ADR-Miner: An Ant-based data reduction algorithm for classification
Published 2015“…For my research I propose ADR-Miner, a novel data reduction algorithm that utilizes ant colony optimization (ACO). …”
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Predictive analysis for journal abstracts using polynomial neural networks algorithm
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Simulation and optimization model for the construction of electrical substations
Published 2017“…The model is then optimized to mainly minimize the project duration using parameter variation experiment and genetic algorithm java code implemented using Anylogic platform. …”
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Classification of synthesised ISAR images of small complex targets
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Prediction of construction material prices using macroeconomic indicators: A neural networks model
Published 2019“…The three models are developed using Microsoft Excel spreadsheet that also utilizes Genetic Algorithm (GA) to minimize the error between the actual and predicted prices, Excel Add-in called Neural Tools, and Python programing language in Spyder software. …”
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Detection and statistical modelling of output power ramp events for utility scale wind energy facilities
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A meta-learning framework for link prediction algorithm selection based on network structure analysis
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Fast star tracker hardware implementation and algorithm optimisations on a system-on-a-chip device
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Design and implementation of real-time on-board satellite image correction algorithms on a programmable logic platform
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On supporting K-anonymisation and L-diversity of crime databases with genetic algorithms in a resource constrained environment
Published 2016“…We employ a genetic algorithm(GA) approach called "Crime Genes"(CG) to optimise utility of the anonymised data based on our modified loss metric whilst adhering to notions of privacy denned by k-anonymity and l-diversity. …”
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A source-destination based dynamic pricing scheme to optimize resource utilization in heterogeneous wireless networks
Published 2017“…The call blocking probability, call dropping probability and percentage MWN utilization are used as the performance metrics in evaluating the SDBDP scheme. …”
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State Estimation in Active Distribution Systems: Comparison Between Weighted Least Squares and Extended Kalman Filter Algorithms
Published 2023“…This dissertation develops and tests the performance of active distribution system state estimation WLS and EKF algorithms that consider the integration of DGs in standard IEEEbus test feeders. …”
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