Search Results - (( developing developing drops algorithm ) OR ( java application learning algorithm ))
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Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column
Published 2005“…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later refined to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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Thesis -
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Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation
Published 2020“…The impact of each input parameter affecting the pressure drop is quantified using the RF algorithm. © 2020 by the authors.…”
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DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS
Published 2011“…The ANN model has been developed using resilient back-propagation learning algorithm. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks
Published 2024“…The proposed algorithm, named Intelligent Water Drops with Simulated Annealing (IWDSA), combines two powerful optimization methods: Intelligent Water Drops (IWD) and Simulated Annealing (SA). …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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On determination of input parameters of the mass transfer process by fuzzy approach.
Published 2005“…Hence, an inverse model describing the process in obtaining the solution of the problem is developed. The model involves only the process of mass transfer of a single drop of size assumed to be smaller then the critical drop size, in multiple stages RDC column. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…Thus, there is a room for further enhancement to develop a routing algorithm as to mitigate the drawbacks with the NCPR. …”
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Simulation of single and dual layered rapid pressure swing adsorption
Published 2013“…It is also found that the oxygen product purity increases by almost 20% when the first layer is packed with Zeolite AgLiX and Zeolite 5A in the second layer. Higher pressure drop across the bed is induced when particles of smaller pressure drop are used in the first layer and particles of larger pressure drop are used in the second layer, hence leading to better separation. …”
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Recognising Malaysia traffic sign with rain drop disturbance using deep learning
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Final Year Project / Dissertation / Thesis -
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Mathematical modelling of mass transfer in multi-stage rotating disc contactor column
Published 2006“…Based on this formulation, a Mass Transfer of A Single Drop (MTASD) Algorithm was designed, followed by a more realistic Mass Transfer of Multiple Drops (MTMD) Algorithm which was later re¯ned to become another algorithm named the Mass Transfer Steady State (MTSS) Algorithm. …”
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Monograph -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Development of a Universal Artificial Neural Network Model for Pressure Loss Estimation in Pipeline Systems; A comparative Study
Published 2010“…This study aims to develop a universal artificial neural network model for estimating pressure drop at pipelines under multiphase flow conditions. …”
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Conference or Workshop Item -
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ALC cleaning device / Nur Liyana Sujak … [et al.]
Published 2017“…For safety features, this product has an anti-dropping algorithm thus limit the risk of it accidentally dropping from the window.…”
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Entrepreneurship Project -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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