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A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
Published 2020“…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
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Optimizing the Management of Knowledge Assets using Swarm Intelligence
Published 2018“…Hence, this indicates that the proposed swarm intelligence based clustering facilitates the grouping of knowledge assets. …”
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Improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach
Published 2024Conference Paper -
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Optimised intelligent tilt controller scheme using genetic algorithms
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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Previous studies shows that homogenous grouping of autistics students yields positive results, therefore, this project proposes to design and develop a clustering model system known as the CASDSS (Clustering Autism Spectrum Disorder Students System) where the main goal of this system is to create a homogenous grouping of the ASD students based on their behaviour, skills and intelligence. …”
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Association ruleset formulation for cyberattack attribution process in cyber threat intelligence using apriori algorithm
Published 2021“…However, the massive amount of data from threat intelligence feeds for CTI is sketchy and not dependable in terms of quality. …”
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Dual-tone multifrequency signal detection using support vector machines
Published 2023Subjects:Conference paper -
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Garra Rufa‐inspired optimization technique
Published 2020“…The present work was inspired by the fascinating movement of Garra Rufa fish between two immersed legs during a regular “fish massage session.” A new optimization approach is proposed and modeled based on the movements of Garra Rufa fish, in which the particles are separated into groups, and the best optimal value leads each group for the group. …”
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HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
Published 2023“…The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. …”
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User song preferences using preference learning in artificial intelligence
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Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…The course was divided into two groups, an experimental group and a control group. …”
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Committee neural networks with fuzzy genetic algorithm.
Published 2011“…Combining numerous appropriate experts can improve the generalization performance of the group when compared to a single network alone. There are different ways of combining the intelligent systems' outputs in the combiner in the committee neural network, such as simple averaging, gating network, stacking, support vector machine, and genetic algorithm. …”
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