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A review: accuracy optimization in clustering ensembles using genetic algorithms
Published 2011“…Next, clustering accuracies among the genetic-guided clustering ensemble algorithms is compared. This paper concludes that using genetic algorithms in clustering ensemble improves the clustering accuracy and addresses open questions subject to future research.…”
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Identifying diseases and diagnosis using machine learning
Published 2023“…The method that is use to optimize the criterion efficiency that depend on the previous experience is known as machine learning. …”
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Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption
Published 2024“…Our quantitative tests show that the improved model has the best coverage (95.3%, 84.3% and 65.8%, respectively) compared to two other methods Levy Flight (LF) algorithm and Particle Swarm Optimization (PSO), which use the same initial parameter values. …”
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Context-driven satire detection with deep learning
Published 2022“…Finally, the combined feature sets undergoes the classification using well-known machine learning classification algorithms. …”
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Fault classification in smart distribution network using support vector machine
Published 2023“…Gaussian radial basis function (RBF) kernel function has been used for training of SVM to accomplish the most optimized classifier. …”
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Image Splicing Detection With Constrained Convolutional Neural Network
Published 2019“…It is shown that CNN with constrained convolution algorithm can be used as a general image splicing detection task.…”
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An extreme gradient boosting for cancer feature extraction and classification
Published 2025“…This research focuses on improving gene selection for cancer classification using the XGBoost classifier, an efficient open-source implementation of the gradient-boosted trees algorithm. …”
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Gene Selection for Cancer Classification Based on XGBoost
Published 2025“…This research focuses on improving gene selection for cancer classification using the XGBoost classifier, an efficient open-source implementation of the gradient boosted trees algorithm. …”
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Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli
Published 2022“…Hence, the proposed YOLO model is further improved based on the model optimization using a challenging The Brackish Dataset. …”
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A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis
Published 2014“…This chapter instead focuses on identifying the unique individual significant features of word shape by using feature selection method prior the identification task. …”
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A new swarm-based framework for handwritten authorship identification in forensic document analysis
Published 2014“…This chapter instead focuses on identifying the unique individual significant features of word shape by using feature selection method prior the identification task. …”
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Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
Published 2019“…The current study of the hand posture classification requires a higher number of EMG sensor used to achieve an accurate classification performance that leads the system to be complicated. …”
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Development of I-Complain@META: a complaint management system for FKMT students using naive bayes classification algorithm
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Detecting canopy openings in logged-over forests: a multi-classifier analysis of PlanetScope imagery
Published 2024“…Three different classification algorithms, namely maximum likelihood classifier (MLC), support vector machine (SVM) and object-based image analysis (OBIA) were used and compared to identify canopy opening areas. …”
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Waste management using machine learning and deep learning algorithms
Published 2020“…The model that we have used are the classification models. For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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Application of genetic algorithm methods to optimize flowshop sequencing problem
Published 2008“…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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