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Author identification for under-resourced language Kadazandusun
Published 2020“…This paper presents the task of Author Identification for KadazanDusun language by using tweets as the source of data to perform Author Identification task of short text on KadazanDusun, which is considered as one the under-resourced language in Malaysia. …”
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Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…Lexical Simplification (LS), a method in TS, is the task of converting words into simpler words. Past studies have shown weaknesses in the LS first task, called Complex Word Identification (CWI), where simple and complex words have been misidentified in previous CWI model. …”
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Thesis -
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Identification and Grading of Manage Using Image Processing
Published 2021“…This project has developed an image processing algorithm for a systematic maturity identification of "Mangga Susu Thai Gold" mangos. …”
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Final Year Project -
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Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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Working Paper -
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…Performance of proposed methods surpass the classic bag of words algorithm for plant identification tasks.…”
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Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization
Published 2008“…The estimation fundamental frequency is performed with Harmonic Product Spectrum (HPS) algorithm, whilst MFCC is calculated using Discrete Cosine Transform, then, is modeled with Vector Quantization to compress the size of data to be processed and to assist identification.…”
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Proceeding Paper -
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An efficient fuzzy clustering algorithm for mining user session clusters on web log data
Published 2021“…In addition, the methodologies to preprocess the net log data as well as data cleanup client identification and session identification are going to be mentioned. …”
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Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data
Published 2019“…The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. …”
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Scalability and performance in duplicate detection : relational vs. graph database
Published 2023“…As a result, they may not be effective in identifying and resolving duplicate data in certain use cases. Graph-based algorithms such as community detection, may prove beneficial as it can capture a more complex relationships between data. …”
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Undergraduates Project Papers -
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Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
Published 2014“…This study proposes a hybrid of conventional back propagation training algorithm for the NARX network and multiobjective differential evolution (MODE) algorithm for identification of a nonlinear model of an unmanned small scale helicopter from experimental flight data.The proposed hybrid algorithm was able to produce models with Pareto-optimal compromise between the design objectives. …”
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Video image processing for traffic analysis
Published 1992“…In recent years the application of computer-based image processing techniques to a range of traffic data collection tasks has been successfully demonstrated. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Inspecting shipments and verifying related documents for a huge volume of shipments task is becoming such an impossible task and it’s no longer sustainable as the volume continues to surge in locations all around the world. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Final Year Project -
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…To achieve this objective, the research was divided into three phases, which consist of talent data identification and data preparation phase, algorithm development for prototype phase and testing and evaluation phase to identify the most suitable prediction model for talent prediction. …”
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Research Reports -
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Spectral signature analysis to determine mangrove species delineation structured by anthropogenic effects
Published 2021“…The use of the SID and SAM algorithms may provide the most promising way of classification for improving the mangrove species identification, with medium resolution of satellite image. …”
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