Search Results - ((((detection algorithm) OR (prediction algorithm))) OR (genetic algorithm))
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1
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…Recognition software achieved 87.14%, EPD algorithm achieved 73.57% and HMT algorithm achieved 74.30%) prediction accuracy with OTs. …”
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2
Artificial neural networks and genetic algorithm for transformer winding/insulation faults
Published 2008“…A back propagation training method is applied in neural network to detect the faults without cellulose involvement. Genetic Algorithm is used to derive the optimal key gas ratios to enhance the accuracy of fault detection. …”
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3
K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
Published 2025“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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4
Feature selection algorithms for Malaysian dengue outbreak detection model
Published 2017“…This research aimed to identify the best features that lead to better predictive accuracy of dengue outbreaks using three different feature selection algorithms; particle swarm optimization (PSO), genetic algorithm (GA) and rank search (RS). …”
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Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
Published 2017Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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6
Early detection of heart disease using Random Forest Algorithm / Muhammad Iqbal Suhaidin ... [et al.]
Published 2023Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection
Published 2023Subjects:Conference Paper -
8
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…The algorithms involved were Genetic Algorithm, Differential Evolution Algorithm, Particle Swarm Optimization, Butterfly Optimization Algorithm, Teaching-Learning-Based Optimization Algorithm, Harmony Search Algorithm and Gravitational Search Algorithm. …”
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9
A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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10
APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS
Published 2007“…A back propagation training method is applied in neural network to detect the faults without cellulose involvement. While, heuristic method of Genetic Algorithm is used to locate the optimal values to enhance the accuracy of fault detection. …”
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11
Hybrid Intelligent Warning System for Boiler tube Leak Trips
Published 2023“…Artificial intelligence; Boilers; Coal; Fossil fuel power plants; Genetic algorithms; Intelligent systems; Learning systems; Neural networks; Thermoelectric power plants; Artificial intelligent; Coal-fired power plant; Detection and diagnosis; Extreme learning machine; Hybrid intelligent system; Reliable monitoring systems; Thermal power plants; Training algorithms; Monitoring…”
Conference Paper -
12
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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13
Defect recognition method for magnetic leakage detection in oil and gas steel pipes based on improved neural networks / Wang Jie ... [et al.]
Published 2024“…The aging infrastructure of petroleum and natural gas pipelines poses a threat to national economies, necessitating precise defect detection for safety and efficiency. To enhance the accuracy of predicting pipeline defect sizes, this study introduces a magnetic leakage detection system, employing Backpropagation (BP) neural networks optimized with genetic algorithms. …”
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14
Defect recognition method for magnetic leakage detection in oil and gas steel pipes based on improved neural networks
Published 2024“…The aging infrastructure of petroleum and natural gas pipelines poses a threat to national economies, necessitating precise defect detection for safety and efficiency. To enhance the accuracy of predicting pipeline defect sizes, this study introduces a magnetic leakage detection system, employing Backpropagation (BP) neural networks optimized with genetic algorithms. …”
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15
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
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16
Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
Published 2017Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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17
Hybrid Intelligent Warning System for Boiler tube Leak Trips
Published 2017“…The Extreme Learning Machine (ELM) methodology was also adopted in IWS-1 and compared with traditional training algorithms. Genetic algorithm (GA) was adopted in IWS-2 to optimize the ANN topology and the boiler parameters. …”
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18
A corrosion prediction model for oil and gas pipeline using CMARPGA
Published 2016“…The decision tree is said optimum in term of the genetic algorithm is used to examine the correlation between a group of association rules instead of using one single rule in predicting a case. …”
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19
Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…In this paper we propose an intrusion detection method that combines Fuzzy Clustering and Genetic Algorithms. …”
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20
Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob
Published 2014“…Based on the problem statement, Genetic Algorithm was applied to test whether it is compatible to predict the future sales. …”
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