Search Results - ((((electron algorithm) OR (genetic algorithm))) OR (detection algorithm))
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1
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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2
Immune-genetic algorithm(IGA) with local search for intrusion detection system in computer network / Hamizan Suhaimi, Saiful Izwan Suliman, and Ismail Musirin
Published 2021“…The combination of Genetic Algorithm, Immune Algorithm and local search has produced good detection with acuracy rate of 98.91% and has the potential to be further investigated for other research areas.…”
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3
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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4
Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods
Published 2024“…The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. …”
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5
Intrusion Detection Systems, Issues, Challenges, and Needs
Published 2021“…Such parameters are C in SVM and gamma which effect the performance of SVM if not tuned well. Optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) algorithm , ant colony algorithm, and many other algorithms are used along with classifiers to improve the work of these classifiers in detecting intrusion and to increase the performance of these classifiers. …”
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6
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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7
Enhanced feature selections of Adaboost training for face detection using genetic algorithm (GABoost)
Published 2007“…Generally, a large number of features are required to be selected for training purposes of face detection system. Often some of these features are irrelevant and does not contribute directly to the face detection algorithm. …”
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8
FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Published 2016“…In this paper, an adaptive Genetic Algorithm-based tool for SDMA-OFDM Systems (GASOS) is developed to improve the performance and computational complexity in cases of fully-loaded and overloaded multi-user scenarios. …”
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9
Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
Published 2005“…In this paper we examine the performance of a micro-Genetic Algorithm-based multi-user detector. Our simulation shows that μGA achieves a performance close to optimal detector.…”
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Proceeding Paper -
10
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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11
Restoration of missing data in old archives based on genetic algorithm
Published 2014“…After applying most algorithms to detect the position of blotches and also scratch which is another type of defect in the old media, in each frame of video, it is essential to correct them, in other words, we should fill the missing data with reasonable values. …”
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12
An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). …”
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13
Enhanced feature selections of Adaboost training for face detection using genetic algorithm
Published 2007“…With these new feature types and larger search space, Genetic Algorithm (GA) is used within the Adaboost framework, to find sets of features which can provide a better cascade of boosted classifiers with a shorter training time. …”
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14
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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Final Year Project -
15
Reduced complexity optimum detector for block data transmission systems
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16
Metacarpal phantom radiograph edge detection using genetic algorithm gradient based genotype / Norharyati Md Ariff
Published 2007“…Genetic algorithms have several steps. For the initial population, 200 pixels will be taken to be the initial population in randomly. …”
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17
Melanoma skin cancer recognition using negative selection algorithm / Muhammad Rushamir Hakimi Ruslan
Published 2017Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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18
Summary of best efficient algorithms on cognitive radio cooperative spectrum sensing to improve QoS
Published 2014“…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO) and imperialistic competitive algorithm (ICA) will be well mentioned in details and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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19
Robust multi-user detection based on hybrid grey wolf optimization
Published 2020“…In this paper, a novel hybrid Grey wolf optimization and differential evolution algorithm robust multi-user detection algorithm is proposed to overcome the problem of high bit error rate (BER) in multi-user detection under impulse noise environment. …”
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Book Chapter -
20
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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