Search Results - adoption using differentials ((detection algorithm) OR (evolutionary algorithm))
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1
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
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Article -
2
Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
Published 2019“…Furthermore, the right and left occipital channels may help in identifying happiness, sadness, surprise and neutral emotional states. The DEFS_Ch algorithm raised the linear discriminant analysis (LDA) classification accuracy from 80% to 86.85%, indicating that DEFS_Ch may offer a useful way for reliable enhancement of the detection of different emotional states of the brain regions.…”
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Conference or Workshop Item -
3
Novel voice activity detection based on cepstrum moments
Published 2010“…In this paper we propose a novel statistical VAD algorithm using Cepstrum coefficients and their moments as features for classification. …”
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Conference or Workshop Item -
4
Image Based Oil Palm Tree Crowns Detection
Published 2020“…Canny edge segmentation algorithm is used after that to determine the edge of the crowns by differentiate the end of object and background. …”
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Final Year Project Report / IMRAD -
5
Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
Published 2023“…The research aims to investigate the relationshipbetween effective use of adopting business analytics in the manufacturing industry. …”
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Final Year Project / Dissertation / Thesis -
6
Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images
Published 2015“…A minimal set of feature who passed the above criteria and can differentiate all of cognitive score pairs is selected by using a genetic search algorithm. …”
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Thesis -
7
Modified Seird model: a novel system dynamics approach in modelling the spread of Covid-19 in Malaysia during the pre-vaccination period
Published 2023“…The mathematical model is solved numerically using built-in Python function ‘odeint’ from the Scipy library, which by default uses LSODA algorithm from the Fortran library Odepack that adopts the integration method of non-stiff Adams and stiff Backward Differentiation (BDF) with automatic stiffness detection and switching. …”
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8
Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…Using this method, the learning time is shorten, and thus, the DDoS backscatter can be detected fast. …”
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Thesis
