Search Results - (( developing perception modelling algorithm ) OR ( java applications usage algorithm ))
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An Effective Fast Searching Algorithm for Internet Crawling Usage
Published 2016“…The search algorithm is a crucial part in any internet applications. …”
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Mining Sequential Patterns using I-PrefixSpan
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…The experimental result shows that using Java 2, this method improves the speed of PrefixSpan up to almost two orders of magnitude as well as the memory usage to more than one order of magnitude.…”
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Density based subspace clustering: a case study on perception of the required skill
Published 2014“…This research aims to develop an improved model for subspace clustering based on density connection. …”
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Towards a unified image quality assessment technique for cross-content image processing applications
Published 2024“…In summary, the study develops algorithms for accurate image quality prediction, refining images, and enhancing visual quality. …”
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Density subspace clustering: a case study on perception of the required skill
Published 2014“…This research aims to develop an improved model for subspace clustering based on density connection. …”
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The Development of Color Based Visual Search Utility
Published 2001“…Secondly, the color algorithm was developed to interpret natural expressions of content such as 10%, 20%, etc. …”
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe
Published 2024“…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis
Published 2017“…The predictive model was developed using Induction Decision Tree (ID3) algorithm, a popular data mining technique an exploratory tool for knowledge discovery. …”
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Detection of Malaysian sign language with single shot detector algorithm/ Nurfarah Idayu Mohamad Fauzi, Shahirah Mohamed Hatim and Zalikha Zulkifli
Published 2023“…The framework used in this project can serve as a useful reference for future developers seeking to create similar custom models. …”
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Particle-based perception of garment folding for robotic manipulation purposes
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Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali
Published 2025“…This study explores the application of sentiment analysis using the Naive Bayes algorithm to understand public perceptions of marital issues, particularly factors contributing to the rising divorce rate. …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…The comparison of results is based on the different user's perceptions, their involvement in the VIGA-20 and the difference of the fitness convergence as compared to Simple Genetic Algorithm.…”
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Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah
Published 2010“…Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perception (MLP). …”
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Modeling heterogeneous behaviors with different strategies in a terrorist attack
Published 2022“…We constructed an emotional model that integrated personality and visual perception for pedestrians. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali
Published 2015“…Therefore, this thesis focuses on the improvement of segmentation methods and development of classification model for images captured in natural environment. …”
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Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli
Published 2025“…This study applies the Naive Bayes algorithm for sentiment analysis to assess public perceptions of childcare issues, particularly child abandonment and accidents. …”
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Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network
Published 2020“…The result obtained from the model shows a promising prediction capability of the RNN-LSTM algorithm for predicting crude oil price movement. …”
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