Search Results - (( developing factor drops algorithm ) OR ( java implication based algorithm ))
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…In addition, with regard to the second algorithm SNBR, the results show that SNBR overcomes the NCPR algorithm terms of normalize routing overhead by 58.80% as its due to its dropping factor. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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Traffic scheduling and link sharing mechanisms for controlled load service / Chin Yun Choong
Published 2000“…The simulation adopts some of the features of the Class Based Queueing. The main factors that determine whether a packet scheduling algorithm is able to support integrated services or differentiated services on Internet is the ability to provide bandwidth guarantee. …”
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High Viscous Fluid Transport Model
Published 2004“…The results obtained show that ordinary pipeline simulation tool under predicts the pressure drop by a factor of 1.5 to 2 depending on the flow rate. …”
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Final Year Project -
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Evaluation of Formation Damage from Transient Pressure Analysis: Unsteady State Skin Factor
Published 2011“…The additional pressure drop due to damage is found to be time dependent and varies from zero at the start and approaches the steady state skin factor at very large dimensionless time. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
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Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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Computer-assisted pterygium screening system: a review
Published 2022“…During the early stage of automated pterygium screening system development, conventional machine learning techniques such as support vector machines and artificial neural networks are the de facto algorithms to detect the presence of pterygium tissues. …”
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Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field
Published 2018“…Blind Source Separation (BSS) refers to the statistical technique of separating a mixture of underlying source signals.BSS denotes as a phenomena and separation on mixed heart-lung sound is one of its example.The challenge of this research is to separate the separate lung sound and heart sound from mixed heart-lung sound.A clear lung sound for diagnosis purpose able to be obtained after separating the mixed heart-lung sound.In biomedical field,lung information is precious due to it has been provided for respiratory diagnosis.However,the interference of heart sound towards lung sound will generate ambiguity and it will lead to drop down the accuracy of diagnosis.Thus,a clean lung sound is needed to increases the accuracy of diagnosis.One of the ways for non-invasive respiratory diagnosis for obtaining lung information is through extracting lung sound from mixed heart-lung sound by using Two-Dimensional Nonnegative Matrix Factorization (NMF2D) algorithm.This method is based on cocktail party effect in which it refers to human brain able to selectively listen to target among a cacophony of conversations and background noise and this considered as a difficult task to machine.Therefore, duplication on cocktail party effect into machine is used to separate the mixed heart-lung sound.This research presents a novel approach NMF2D algorithm in which a suitable model for signal mixture that accommodated the reverberations and nonlinearity of the signals.The objectives of this research are focusing on investigating the useful signal analysis algorithms,defining a new technique of signal separability,designing and developing novel methods for BSS. …”
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Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah
Published 2024“…With a huge number of students drop out, the higher education institution’s reputation might be dropped. …”
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Review of electric vehicle converter configurations, control schemes and optimizations: Challenges and suggestions
Published 2023“…Besides, the significance of optimization algorithms in electric vehicle converters is illustrated along with their objective functions, executions and various factors. …”
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A new superimposed topology for single phase wireless power transfer / Azman Ab Malik
Published 2018“…WPT system had been developed to support electrical energy from solar PV. …”
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A new superimposed topology for single phase wireless power transfer / Azman Ab Malik
Published 2018“…WPT system had been developed to support electrical energy from solar PV. …”
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