Search Results - (( knowledge level normalization algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
Published 2007“…Thus, this new level of pheromone updates which manipulating and empowering the searching experiences of individual ants can improve the current ACS algorithm. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Thesis -
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The development of level of detail (LOD) technique in 3D computer graphics application
Published 2009“…In this thesis, out-of-core simplification algorithm is introduced to overcome the limitation of conventional technique. …”
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Monograph -
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Out-of-core simplification with appearance preservation for computer game applications
Published 2006“…In this thesis, out-ofcore simplification algorithm is introduced to overcome the limitation of conventional technique. …”
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Out-of-core simplification with appearance preservation for computer game applications
Published 2006“…In this thesis, out-ofcore simplification algorithm is introduced to overcome the limitation of conventional technique. …”
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Monograph -
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Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification
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journal::journal article -
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Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems
Published 2021“…Such approach is highly dependable on the clustering algorithm parameterization, and is not capable to deal with the normal system’s specification changes. …”
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Translating medical image to radiological report: Adaptive multilevel multi-attention approach
Published 2022“…Conclusion: The overall architecture aids to the understanding of various X-ray image views and generating the relevant normal and abnormal radiography statements. The proposed model is emphasized on multi-level visual-textual knowledge with adaptive attention mechanism to balance visual and linguistic information for the generation of admissible radiology report. …”
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…Although the conventional algorithm, MMSE, outperforms the pro�posed algorithms when the number of pilots increased but it is not applicable in real transmission as it is required prior knowledge about the channel statistic which is not the case with DL-based estimators which rely only on the pilots. …”
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Coastal Priority Ranking in Oil Spill Response Decision Support Mechanism
Published 2008“…Analyses of questions were conducted using Delphi method, Likert scaling, and repertory grid analysis. The evaluation of knowledge level provided the normalized weights (from 0.09 to 1.0) for respondents’ knowledge and these weights were applied to criteria ranking. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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Termite mounds morphometry in predicting groundwater potentiality using geospatial technology
Published 2020“…Thereafter, twelve (12) groundwater conditioning factors (GCFs) (geology, drainage density, lineament density, lineament intersection density, land use/land cover, topographic wetness index (TWI), normalized difference vegetation index (NDVI), slope, elevation, plan curvature, static water level and groundwater level fluctuation) were passed through a feature selection filter (Correlation-based feature selection using the best first algorithm) to select the optimum groundwater control factors (GCFs) for groundwater prediction in the study area. …”
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