Search Results - (( pre processing parallel algorithm ) OR ( java applications learning algorithm ))
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Enhancement of parallel thinning algorithm for handwritten characters using neural network
Published 2005“…This project aims to improve a parallel thinning algorithm that satisfies two fundamental requirements of thinning, namely the processing speed and the quality of skeletons. …”
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Image based autonomous indoor parallel parking assist on omni-directional vehicle (ODV)
Published 2016“…The image processing algorithm is first developed using Visual Studio C++ and OpenCV. …”
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Undergraduates Project Papers -
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Parallel processing and matrix convolution inside wavelet transform process is the most prominent study in this research. …”
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Final Year Project / Dissertation / Thesis -
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Local search approaches for patient scheduling problem in parallel operating theatre
Published 2020“…In the first phase, pre-processing stage, combination of pre-processing stage with low-level heuristic and genetic algorithm are used.The different types of LS are applied in the second phase of scheduling. …”
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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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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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9
Thermal Properties And Ground-State Structures Of Pure And Alloy Nanoclusters Via Molecular Dynamics Simulation
Published 2018“…However, the methods of post-processing and determining the pre-melting and melting range of nanoclusters at specific composition differ in every research. …”
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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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Projecting named entity tags from a resource rich language to a resource poor language
Published 2012“…Named Entity Recognition (NER) is the identification of words in text that correspond to a pre-defined taxonomy such as person, organization, location, date, time, etc.This article focuses on the person (PER), organization (ORG) and location (LOC) entities for a Malay journalistic corpus of terrorism.A projection algorithm, using the Dice Coefficient function and bigram scoring method with domain-specific rules, is suggested to map the NE information from the English corpus to the Malay corpus of terrorism.The English corpus is the translated version of the Malay corpus.Hence, these two corpora are treated as parallel corpora. …”
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Article -
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…Hence, these two corpora are treated as parallel corpora. The method computes the string similarity between the English words and the list of available lexemes in a pre-built lexicon that approximates the best NE mapping. …”
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…Hence, these two corpora are treated as parallel corpora. The method computes the string similarity between the English words and the list of available lexemes in a pre-built lexicon that approximates the best NE mapping. …”
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…Hence, these two corpora are treated as parallel corpora. The method computes the string similarity between the English words and the list of available lexemes in a pre-built lexicon that approximates the best NE mapping. …”
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Studies on flat CORDIC implementation in field programmable gate arrays (FPGA) / Meera Subramaniam
Published 2004“…The successive replacement of the basic CORDIC equations to generate the parallelized Flat CORDIC ones requires that the direction of all the rotations be pre-computed. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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A novel association rule mining approach using TID intermediate itemset
Published 2018“…Itemset list is intersected to obtain the actual support). Moreover, the algorithm supports to extract many frequent itemsets according to a pre-determined minimum support with an independent purpose. …”
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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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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…Under-sampled data is acquired in parallel imaging to expedite the MRI scan process, which leads to aliased images. …”
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A novel association rule mining approach using TID intermediate itemset
Published 2018“…Itemset list is intersected to obtain the actual support). Moreover, the algorithm supports to extract many frequent itemsets according to a pre-determined minimum support with an independent purpose. …”
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