Search Results - ((((detection algorithm) OR (evolutionary algorithm))) OR ((electron OR section) algorithm))
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Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
Published 2019“…First, we enhance the famous multiobjective evolutionary algorithms, which is a non-dominated sorting genetic algorithm (NSGA-II). …”
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An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…At first, the pre-segmentation algorithm uses a modified dominant point detection algorithm to mark a minimal number of points which defines the text skeleton. …”
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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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Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine
Published 2009“…In this paper the result of an attempt to develop a substitute nonlinear model based on multilayer neural network (MLNN) and evolutionary algorithm (EA) for a single-shaft gas turbine having IGVs and VSVs is presented. …”
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Melanoma skin cancer recognition using negative selection algorithm / Muhammad Rushamir Hakimi Ruslan
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Prediction on heart disease using multilayer neural network / Lily Syahira Sabrina Ab Rahman
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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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An Evolutionary Stream Clustering Technique for Outlier Detection
Published 2020“…Later, this algorithm will be extended to optimize the model in detecting outlier on data streams. …”
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An optimal mesh algorithm for remote protein homology detection
Published 2011“…Remote protein homology detection is a problem of detecting evolutionary relationship between proteins at low sequence similarity level. …”
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Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…In the validation process, the results showed a superior finding compared to the firefly algorithm. It was able to detect more tags by 3%, and a reduced number of readers by 16.6%. …”
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An efficient anomaly intrusion detection method with feature selection and evolutionary neural network
Published 2020“…This research designed an anomaly-based detection, by adopting the modified Cuckoo Search Algorithm (CSA), called Mutation Cuckoo Fuzzy (MCF) for feature selection and Evolutionary Neural Network (ENN) for classification. …”
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Intelligent presentation slide control video (INSTRUCT) / Mohd Razif Shamsuddin, Nurzeatul Hamimah Abd Hamid and Muhammad Syafiq Jasmin
Published 2012Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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Enhanced feature selections of Adaboost training for face detection using genetic algorithm
Published 2007“…This technique is referred to as GABoost for this training part of a face detection system. The GA carries out an evolutionary search to select features which results in a higher number of feature types and sets selected in less time. …”
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Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
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Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
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Bio-inspired for Features Optimization and Malware Detection
Published 2018“…The study compares the bio-inspired algorithm [particle swarm optimization (PSO)] and the evolutionary computation with information gain to find the best features optimization in selecting features. …”
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Bio-inspired for Features Optimization and Malware Detection
Published 2018“…The study compares the bio-inspired algorithm [particle swarm optimization (PSO)] and the evolutionary computation with information gain to find the best features optimization in selecting features. …”
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Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali
Published 2020“…The objectives of the project are to design and develop a prototype of adaptive Glioblastoma detection using Evolutionary-based algorithm to assist in detecting brain tumor and also to test the prototype’s functionality and detection accuracy. …”
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