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A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area
Published 2016“…Different classification algorithms were adopted to classify the integrated Landsat and SAR data, and the maximum likelihood classifier (MLC) was considered the best approach. …”
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Courier delivery services visualisor (CDSV) with an integration of genetic algorithm and A* engine
Published 2017“…This study developed Courier Delivery Services Visualisor (CDSV) that is able to visualize the best route to be taken by distributor, so that the courier service can arrive on time.CDSV employed Genetic Algorithm (GA) and Astar Algorithm (A*) that integrates with Geographical Information System (GIS) data.A graphical user interface in the form of simulation map that suggests the best route and the optimal distance are displayed for easier courier service distribution references.…”
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Healthcare Data Analysis Using Water Wave Optimization-Based Diagnostic Model
Published 2021“…These improvements were incorporated in the propagation and refraction phases of the WWO algorithm. The proposed algorithm was integrated into a diagnostic model for the analysis of healthcare data. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…The first modification is the integration of BH algorithm and levy flight, which result in data clustering method, namely “Levy Flight Black Hole (LBH)”. …”
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New heuristic function in ant colony system for the travelling salesman problem
Published 2012“…Experiments conducted have used eight data sets from TSPLIB with different numbers of cities.The proposed algorithm shows promising results when compared to classical ACS in term of best, average, and standard deviation of the best tour length.…”
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Investigating photovoltaic solar power output forecasting using machine learning algorithms
Published 2023“…Therefore, the present study aims to address a research gap in this field by determining the best performer among these 5 algorithms. A data set from the United States� National Renewable Energy Laboratory (NREL) consisting of weather parameters and solar power output data for a monocrystalline silicon PV module in Cocoa, Florida was utilized. …”
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Investigating dam reservoir operation optimization using metaheuristic algorithms
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A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification
Published 2016“…Most previous works on Bacterial Foraging Optimization Algorithm (BFOA) for data classification were integrated BFOA as a feature selection algorithm and parameters optimizer for other classifiers. …”
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Sustainable Management Of River Water Quality Using Artificial Intelligence Optimisation Algorithms
Published 2021“…Among the hybrid models, in terms of accuracy, the best optimisation algorithm at station 1K06 was the AMFO while the best optimisation algorithm at station 1K07 was the HPSOGA. …”
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…The algorithm converts the model to coding, structures the process of entering data, automates the calculations and presents the results in a well-organized and suitable interfaces for the team managerial review purposes. …”
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Replica Creation Algorithm for Data Grids
Published 2012“…The new Data Replica Creation Algorithm (DRCM) improves performance of data grid systems by reducing job execution time and making the best use of data grid resources (network bandwidth and storage space). …”
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Comparative study of machine learning algorithms in data classification
Published 2025“…In order to help choose the best algorithm for medical dataset, this study attempts to shed light on the advantages and disadvantages of each classifier. …”
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Hyper-heuristic framework for sequential semi-supervised classification based on core clustering
Published 2020“…Existing stream data learning models with limited labeling have many limitations, most importantly, algorithms that suffer from a limited capability to adapt to the evolving nature of data, which is called concept drift. …”
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An integrated model to email spam classification using an enhanced grasshopper optimization algorithm to train a multilayer perceptron neural network
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…The first objective is to study the effects of varying the architecture designs and parameter values of the backpropagation neural network (BPNN) learning algorithm. The second objective is to compare the performances of machine learning (ML) techniques (e.g., BPNN and GA) with the statistical techniques (e.g., autoregressive integrated moving average (ARIMA)) in learning time series data. …”
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Investigation of the optimal sensor location and classifier for human motion classification
Published 2022“…In addition, this study seeks to find the best classification algorithm for human daily activities. …”
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