Search Results - (( process identification method algorithm ) OR ( data classification based algorithm ))
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1
An Ar Natural Marker Similarities Measurement Algorithm For E-Biodiversity
Published 2018“…The objective of this research is to comparatively evaluate the effectiveness of different algorithms, method combination procedure, and their parameters towards classification accuracy. …”
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Proceeding -
2
Data mining in mobile ECG based biometric identification
Published 2014“…Experimentation results showed that our method simplifies biometric identification process by obtaining reduced computational complexity when compared to other related algorithms. …”
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Article -
3
Improved intrusion detection algorithm based on TLBO and GA algorithms
Published 2021“…Optimization algorithms are widely used for the identification of intrusion. …”
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4
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
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5
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
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6
Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari
Published 2018“…In this paper, by using the database available in the internet and using Neural Network (NN) as training algorithm, plant recognition based on leaves image would be developed. …”
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Student Project -
7
Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…This study proposed an integrated system for EEG signals pre-processing by using machine learning algorithms in the identification of artifactual components during the process of Wavelet-ICA. …”
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8
Fingerprint feature extraction based discrete cosine transformation (DCT)
Published 2009“…The proposed algorithm involved two stages, which is pre-processing of fingerprint image and feature extraction based nCT. …”
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Proceedings -
9
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…The collected datasets were used as inputs for the DM process. In this research, a fault diagnosis methodology based on Cross Industry Standard Process for Data Mining (CRISP-DM) model was proposed for the purpose of damage detection. …”
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10
Identification model for hearing loss symptoms using machine learning techniques
Published 2014“…This research presents an efficient way to facilitate the hearing loss symptoms diagnosis process by designing a symptoms identification model that efficiently identify hearing loss symptoms based on air and bone conduction pure-tone audiometry data. …”
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11
Fuzzification of epileptic data: an application for prediction and identification of partial seizure
Published 2013“…The paper presents one such technique which is based on fuzzy classifications of the EEG data using certain statistical features from the signal. …”
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Citation Index Journal -
12
Integrated framework with association analysis for gene selection in microarray data classification
Published 2011“…However, most of the existing gene selection methods are statistical analyses and purely based on gene expression values in the identification of differentially expressed genes. …”
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13
Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin
Published 2018“…With a view to improvement, it is proposed to develop a unique algorithm for vehicle classification and counting using Gaussian Mixture Model (GMM) and blob analysis method. …”
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Student Project -
14
Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution
Published 2011“…The proposed method can reduce the energy and time consumptions in terms of data processing.…”
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Research Report -
15
Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding
Published 2023“…The root-mean-square and spectral entropy of both unfiltered and filtered signals were extracted, and classification models were developed using these data sets. …”
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16
Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS
Published 2020“…The results show that by applying this method, the accuracy of the identification rate can be achieved as high as 96.4% even when the data file is compressed up to 73.3%. …”
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Proceeding Paper -
17
Secure Access To Authorized Resources Based On Fingerprint Authentication
Published 2003“…The A VL tree is used to increase the compression ratio as its compression algorithm works efficiently for all types of data. …”
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18
A performance comparison study of pattern recognition systems for volatile organic compounds detection / Emilia Noorsal, Muhammad Khusairi Osman and Norfadzilah Mokhtar
Published 2007“…The LVQ network was observed to have poor classification for the VOCs data with classification accuracy percentage below 80%. …”
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Research Reports -
19
Feature Ranking Techniques For 3D ATS Drug Molecular Structure Identification
Published 2018“…All the performance is evaluated in term of the number of features selected and classification accuracy. Paired t-test also carry out to further validated the quality of the FEFR based on the classification accuracy performance metric. …”
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Thesis -
20
Tree species and aboveground biomass estimation using machine learning, hyperspectral and LiDAR data / Nik Ahmad Faris Nik Effendi
Published 2022“…In this research, Object-Based Image Analysis (OBIA) method was applied on hyperspectral data to extract the crown of individual tree species for classification and estimation purposes. …”
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