Search Results - (( its application ((new algorithm) OR (bat algorithm)) ) OR ( _ detection based algorithm ))
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Modified adaptive bats sonar algorithm with doppler effect mechanism for solving single objective unconstrained optimization problems
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
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Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…In this study, a new proposed hybrid optimization algorithm, called Extended Bat Algorithm (EBA) is used for optimizing the PID controller for the wheel mobile robot. …”
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Book Chapter -
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A new vertical edge detection algorithm and its application
Published 2008“…We proposed a new and fast vertical edge detection algorithm (VEDA) which is based on the contrast between the gray scale values. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Multi-Phase Information Theory-Based Algorithm for Edge Detection of Aerial Images
Published 2022“…Such findings make the proposed algorithm desirable to be used as a key image detection method with other image-related applications.…”
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An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition
Published 2011“…The detection algorithm was developed analytically by applying the Signal Detection Theory (SDT) and the Random Matrix Theory (RMT). …”
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Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional
Published 2006“…This study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code and Vertex chain code algorithm as picture description language, and a new computational algorithm and neural network classifier for corner detection. …”
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Monograph -
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Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Shot boundary detection based on orthogonal polynomial
Published 2019“…Finally, the support vector machine is utilized to detect hard transitions. In addition, a comparison between the proposed algorithm and other state-of-the-art algorithms is performed to reinforce the capability of the proposed work. …”
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Secured Autonomous Agent-Based Intrusion Detection System (SAAIDS)
Published 2024thesis::master thesis -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Therefore, this paper presents a new mobile botnet classification based on permission and Application Programming Interface (API) calls in the smartphone. …”
Proceedings Paper -
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March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults
Published 2012“…The fault syndrome based on read operations of the proposed algorithm is generated to determine its diagnostic capability. …”
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Enhanced algorithms for three-dimensional object interpreter
Published 2004“…Besides reducing the number of image regularities used and new method to solve the linear system, this study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code algorithm as picture description language, and a new computational comer detection algorithm.…”
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18
An adaptive anomaly threshold in artificial dendrite cell algorithm
Published 2017“…The dendrite cell algorithm (DCA) relies on the multi-context antigen value (MCAV) to determine the abnormality of a record by comparing it with anomaly threshold.In practice, the threshold is pre-determined before mining based on previous information and the existing MCAV is inefficient when expose to extreme values.This causes the DCA fails to detect unlabeled data if the new pattern distinct from previous information and reduces the detection accuracy.This paper proposed an adaptive anomaly threshold for DCA using the statistical cumulative sum (CUSUM) with the aim to improve its detection capability.In the proposed approach, the MCAV were normalized with upper CUSUM and the new anomaly threshold was calculated during run time by considering the acceptance value and min MCAV.From the experiments towards 12 datasets, the new version of DCA generated a better detection result than its previous version in term of sensitivity, specificity, false detection rate, and accuracy.…”
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A new algorithm for human face detection using skin color tone
Published 2013“…This new approach to face detection is based on color tone values specially defined for skin area detection within the image frame. …”
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An Improved Artificial Dendrite Cell Algorithm for Abnormal Signal Detection
Published 2018“…This causes the DCA fails to detect new data points if the pattern has distinct behavior from previous information and affects detection accuracy. …”
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